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Last 4 days before regular tickets sell out at AI Engineer World's Fair - this is the single biggest gathering of AI Engineers, Founders, Leaders, and Researchers in the world. Attendees get >$5000 worth of sponsor credits and talk tracks are looking FANTASTIC. Join us!The AI scaling debate always focuses on the question of “how do we get more GPUs?” but the better question may be: how do we make the most of ones we already have.The fact that a frontier lab like xAI could be running at sub-10% MFU (Model FLOPs Utilization) is just a hint at what the real problem may be.For context, older frontier-scale training runs were already much higher than 10%. GPT-3 was around 21% MFU. Gopher was around 32%. Megatron-Turing NLG was around 30%. PaLM reached around 46%. And our guest Anjney says best-in-class MFU today is closer to 60–70%.It's not necessarily that xAI is uniquely incompetent (it's clear they have talented folks) but rather the priorities may be flipped in the GPU arms race.While GPU access is a bottleneck, simply increasing CapEx won't automatically translate to better models as frontier AI is increasingly a systems problem: scheduling, utilization, networking, kernels, frameworks, data pipelines, parallelism, cluster reliability, and the thousand small decisions that determine whether your theoretical FLOPs become real training progress.From building Discord's developer platform and backing frontier AI companies like Anthropic, Mistral, Black Forest Labs, and Periodic Labs to now building AMP's independent compute grid, Anjney Midha has spent years close to the real bottlenecks of AI scaling. In this episode, Anjney joins swyx at Periodic Labs to unpack why the AI race is not just about buying more GPUs, why 95% utilization would have been considered an outage at Google, and why the next era of AI infrastructure has to be more aligned, more efficient, and more responsible.We go deep on AMP's vision for a compute grid that makes FLOPs flow like megawatts, the difference between full-stack AI labs and horizontal pooling, why AI data centers need community buy-in, and how compute markets could evolve into something closer to an independent system operator. Anjney also explains why DeepMind's unpublished research points to a market failure, why end-of-life prediction remains one of the most important AI applications he has thought about for fourteen years, and why “output maxing” may become a new discipline for frontier systems.We also discuss Anthropic's culture, why “luck favors the prepared mind” in coding models, how Claude cracked coding, why too much capital too early can make AI labs fragile, what Periodic Labs is trying to do with science and superconductors, why great researchers can become great CEOs, and why Silicon Valley is both deeply missionary and deeply mercenary.We discuss:* Why 95% utilization was considered an outage at Google* Why AI infrastructure waste compounds at frontier-lab scale* Why “move fast and break things” does not work for AI data centers* How data center backlash, power grids, and community incentives shape AI scaling* AMP's vision for making FLOPs flow like megawatts* Why compute needs an independent system operator* How interruptible demand and dynamic prioritization worked inside Google* Why DeepMind research hoarding creates negative externalities* AMP's 1.2GW base-load ambition and the need for 6GW of spike capacity* Why end-of-life prediction could become one of AI's most important healthcare applications* Frontier Systems, output maxing, and full-stack alignment* Why APIs and abstraction layers become lossy as organizations scale* Superconductors, standards, and the dream of lossless systems* SF Compute, open protocols, and the future of compute marketplaces* Why non-NVIDIA chips can still benefit from NVIDIA's reference architecture* Trust boundaries and why chip startups need visibility into future model architectures* Why VCs often underestimate researchers as CEOs* Scientists as star athletes of the mind* Why great CEOs need to be confrontational up and down the stack* Why leading the frontier matters more than “winning”* How Anthropic cracked coding* Why culture is fragile, not a permanent moat* Why hardship was a feature, not a bug, for Anthropic* Why Anthropic's P0 was coding from day one* Periodic Labs, physics as the constraint, and technical reality* Silicon Valley mercenaries, missionary teams, and what happens after a breakthroughAnjney Midha* LinkedIn: https://www.linkedin.com/in/anjney* X: https://x.com/AnjneyMidhaAMP PBC* Website: https://amppublic.com/* X: https://x.com/amppublicTimestamps00:00:00 Introduction00:00:09 Why AI Compute Is Being Wasted00:03:17 Responsible Infrastructure and Data Center Backlash00:06:07 AMP Grid: Making FLOPs Flow Like Megawatts00:12:41 Foundry, Frontier Labs, and Research Hoarding00:14:42 Gigawatt-Scale Compute and End-of-Life Prediction00:24:08 Frontier Systems, Output Maxing, and Alignment00:27:38 Compute Markets, SF Compute, and Non-NVIDIA Chips00:32:57 Trust Boundaries, Co-Design, and Researcher CEOs00:38:17 AI Coachella and First-Principles Thinking00:42:43 Leading vs Winning in Frontier AI00:45:54 How Anthropic Cracked Coding00:48:25 Culture, Hardship, and Anthropic's P000:54:03 Periodic Labs, Physics, and Silicon Valley Mercenaries00:56:26 Rishi Valley, Singapore, and Money as a Measure00:58:47 Closing ThoughtsTranscriptIntroduction: Anjney Midha, AMP, and Compute WasteSwyx [00:00:00]: We're in Periodic Labs with Anjney Midha, CEO, founder of AMP. Welcome.Compute Utilization: Node Allocation, MFU, and AlignmentAnjney [00:00:09]: Thanks for having me. At Google, there are two types of utilization usually, right? That you're measuring in these clusters. One is node allocation, and then the other's MFU. Node utilization is usually like what percentage of cards in the data center are just, used, and that, if it's not at, 95%-Swyx [00:00:29]: There is no excuseAnjney [00:00:29]: There's no excuse, right? I think 95% at Google, which is where my co-founder, Seb, came from, he built the Borg, PBorg/GQM scheduler at Google, and there I think 95% was considered an outage, so 96% node utilization is, should be standard. And most single-tenant clusters are not running at that. So that's one. And then MFU should be, I would say the best in class today is somewhere between 60 and 70%. I think this is a leadership question, right? Fundamentally it's an alignment question, which is are the people who are funding the cluster and then deploying the cluster actually aligned? And sometimes theoretically they are, but in practice the number of people in the chain, the supply chain between, the capital and all the way to whoever's managing the cluster and then whoever's measuring what the output is, are just so many, degrees of separation away that, the, The Have you ever heard the radian metaphor, which is at the beginning of an arc, if you have two arcs that are two lines that are just off by a few degrees, that-Swyx [00:01:33]: It spreads outAnjney [00:01:34]: It spreads out, right? Or at scale. And I think what's happening is a lot of cluster implementations and infrastructure, a lot of frontier labs and other teams, that's what's happening, is they're, they initialize the plan, which is kind of like North Star with a team that wants to do good, but then they're, required to scale so fast instead of iteratively that the wastage just compounds really fast at scale. And so I think we know the answer, which is just do iterative bring ups. If you spend time with people who've been in the semiconductor industry or the DSN industry for a long time, this is not new, and I don't think AI should be an excuse. Sure. Something What is new? Okay. We have a lot of new capabilities, but that doesn't mean just abandon common sense. Common sense should always be in fashion. ? AI scaling doesn't change the in fact, if anything, AI scaling should be putting a premium on the value of common sense and infrastructure because the margin of error now is so much lower and the costs of wastage are so much higher. And the cost of wastage, by the way, is not just economic. I'm, obviously I'm, I'm an investor, or I'm an investor by background. Over the last few years now we're running an AI infrastructure business called, AMP. And I think that it's okay to say this time is different on the capabilities front. We are genuinely getting capabilities at, of the, of a kind we haven't had before. That doesn't give you an excuse to say this time is different for everything, especially infrastructure. So look, I love the hacker mindset and the hustler mindset. Now, that's great for the startup mindset, but you remember this moment where Zuck went from saying, “Move fast, break things” to, move-Responsible Infrastructure and Data Center BacklashSwyx [00:03:10]: Fast and stable infrastructureAnjney [00:03:11]: Move fast with stable infrastructure. I think now we need to move fast with, responsible infrastructure. People are going to ask where the impact is. There was a really In our class yesterday, Scott Nolan, who's the founder of General Matter, came by at Stanford to speak about energy bottlenecks. And he had a phenomenal idea. He said, “if you look at the marginal unit economics of compute per hour,” he goes, “let's call it, $4 an hour. If you're having to bring up a new data center in a new community, why not just say we're going to charge 4.50 an hour, and that marginal impact or that marginal increase, we just literally take that and give it to the local community as cash?” I can tell you as a customer of that compute, I would love that. I'd be happy to pay an additional 50 cents per hour at scale.Swyx [00:03:57]: Wow. Yeah.Anjney [00:03:58]: Because if that means the public benefit is so clear to the communities that the data centers are coming up in, I'm going to feel like that compute is much more reliable. Up to 20% of all data centers this year in the US, my understanding is are at risk.Swyx [00:04:13]: Of community backlash?Anjney [00:04:14]: Correct. Of not getting the community support they need to get brought up.Swyx [00:04:19]: Wow. That's a huge number.Anjney [00:04:20]: Yeah. Now, we, I think we should dig into what that number is. I think it's a little bit of overstated. These things can get over-reported, but it-Swyx [00:04:27]: They don't just care about jobs. They care about all the other stuff around it, right? They care about power grid, they care about environments-Anjney [00:04:33]: Power grid, permitting, and so on. And imagine I think if you said there's a new AI deal. If we're bringing up a data center in your community, we're actually going to reduce the cost of your electricity bill. Okay, now we're talking. Right? The community's going, “Okay. Now this is a deal. I feel like a partner in this.” Right now that's not happening. There will be audits, there will be investigations, and when the, when the regulators come, I don't know when it's going to be, the folks who are moving fast and breaking things in the name of AI progress better be prepared. That's certainly not how we're procuring compute. Or we're, we're trying as much as we can to work with partners who have long-term track records. Many of whom, by the way, are not, AI providers. I think this whole idea of neoclouds being somehow this new category is a lot of marketing speak. There are really good, reliable, trusted data center providers in America who've been around 20 plus years. I love those folks. They know how to Sure. Are they sponsoring happy hours at NeurIPS? No. Are they legibly listed in Build? No. Are they hanging out in my, in, situational awareness parties? No. But they're adults. I trust them.Swyx [00:05:44]: They can run LAN. They can run power.Anjney [00:05:45]: They can run LAN, power, and shell. They have credit histories. We sit down, we have a conversations. Many of them live in Silicon Valley. They've, they've had to deal with the boom and bust cycles of the internet, and I love those folks. They are stable infrastructure partners and thinkers. And I think there's a lot of short-term thinking going on in the compute layer, and it's going to catch up to us. It's not going to be good.AMP Grid: Making FLOPs Flow Like MegawattsSwyx [00:06:07]: You talk about aligning incentives, and, I would think that aligning incentives means you have the full stack in one company, which is xAI and OpenAI, right? So you as a standalone infrastructure layer, why are you somehow more aligned to your portfolio companies than people who just own the whole thing?Anjney [00:06:28]: In systems design, right, there's, there's two regimes of, architecture, right? You have integration, and then you have pooling and utilization, right? So the Or rather, the way to increase utilization often is you can do systems integration where you collapse a lot of process into one node, or you can pull out a process from a node and share that amongst various That resource amongst several different nodes. And so we see the AMP grid, which is, the, what, the system we're building here, which is basically a compute grid. We're trying to do for compute what the electric grid-Swyx [00:07:02]: PowerAnjney [00:07:02]: Yeah, what the power grid did for electricity. It-- this is a pooling and utilization layer across clouds, And so we're actually the opposite of a full stack integration like approach.Swyx [00:07:12]: Super horizontal.Anjney [00:07:13]: Where it's much more horizontal and it's, it's multi-cloud, it's multi-silicon. The goal is to try to make FLOPs flow like megawatts, and that is very hard to do today for many reasons. There's stranded pools of compute all over the place and there's no fungibility. And so right now we do it at the level of scheduling, and we often do it at the economic layer. But as we start to announce what we're working on, it's extraordinary like how many folks are coming out of the woodworks and saying, “Hey, I'm actually working on a way to make compute fungible at this part of the stack and that part of the stack.” And as a grid, we'd like all of these folks to participate on the grid. There's, people often ask me, “Andra, are you a new cloud?” And I go, “No, actually neoclouds are suppliers.” sometimes they'll ask, “Are you a venture capital firm?” I go, “No, actually they are, they are demand like sort of off-takers of the grid.” We see ourselves as what's called an independent system operator. So if you study the history of the electric grid, once it became legible to a lot of factories and industrial sort of participants that, hey, actually it turns out pooling is a good idea. We should pool our generators instead of all having a generator running at half capacity in our backyard. There was a need for an independent entity who could coordinate all these parties. Transmission line, power generation, facilities, transmission lines, factories, and that neutral coordination mechanism is very critical. In order-- If you study like the history of grids, the most enduring ones were those that never owned their own assets. They were ones that had, or often started with long-term anchors who are uncorrelated sources of demand, a steel factory, a shoe mill or whatever in a particular town who weren't competitive, where the steel factory want to spike up at night, the shoe mill wanted to spike up during the day. So then you pool and you share, right? So each of you is guaranteed some base load, but then you kind of schedule your spikes to drive a peak utilization across the town. The gold standard, so to speak, historically, has been these utility companies like PJM Interconnect in the northeast of America, where they, over many years became this what's called an ISO, an independent system operator of the grid. So that's how we see ourselves. Economically, that's what we are. From a technical perspective, we started at the scheduling layer because Seb and Mihai, who, run engineering here, built that at-Swyx [00:09:28]: Did your schedulingAnjney [00:09:28]: They did that at Google. And, -Swyx [00:09:32]: And you have infra shops from Discord as well.Anjney [00:09:35]: I have some.Swyx [00:09:35]: I don't know, I don't know if Discord is like the primary identity, but what-whatever, I'm just kind of-Anjney [00:09:39]: No, D-Discord was-Swyx [00:09:40]: Choosing a well-known name.Anjney [00:09:42]: Well, I So I was running the developer platform there. The internal infrastructure I was not responsible for. That was actually a guy by the name of Mark Smith, who was extraordinary. And yes, Discord did pool So Discord is actually a counter example. I had the chance to learn a lot about fully, full stack infra there because-Swyx [00:09:56]: It's the same thing, yeahAnjney [00:09:57]: It's the, it's the other architecture which is, Discord built its own WebRTC vo-voice and video infra. So like Discord did not use-Swyx [00:10:08]: For the calls, yeah.Anjney [00:10:09]: Yeah, did not For communication, Discord did not use third party infra. It was all built in-house. And then the way you maximize utilization was you pool demand from the world's 200 million plus monthly active gamers, right? And so that's, that's how those stacks were constructed. Again, in systems design, the two concepts that keep coming up over and over again are abstraction and composition, right? And-Swyx [00:10:31]: Bundling and unbundlingAnjney [00:10:33]: Bundling and unbundling, abstraction, composition, like verticalization and-Swyx [00:10:36]: HorizontalAnjney [00:10:36]: Horizontalization. So in that sense, AMP is an independent system operator of the grid. We pool demand, we pool supply from a number of partners we trust At about 1.3 gigawatt scale over four years. And then we pool demand from some of the world's best, research labs and so on. We're sitting at one, periodic labs who need extraordinary long-term demand. And the idea is that, each of them is guaranteed base load on the grid, but they can spike up and down flexibly on, for compute, with much shorter timelines as needed. That was roughly the design of the program I came up with at a16z called Oxygen. The same-- That was the same design of the GQM, BorgX, Borg GQM implementation at Google that Mihai and Seb had built. Which was that how do you allow, teams inside of Google, on the internal infrastructure to be guaranteed capacity, for their base workloads? But when they need to spike up on research, how could they ensure that was sufficiently there? And of course, the big innovation that was not discovered, but kind of implemented in the space, this infra space maybe three, four years ago at Google was the idea of interruptible demand, right? Where you just queue up a bunch of jobs and through this like sort of credit system, there can be a bidding mechanism.Swyx [00:11:53]: Like priorities.Anjney [00:11:54]: It's a dynamic prioritization Basically. And jobs can get interrupted based on somebody else who's saying, “what? I have 10 tokens, 10 credits I want to spend on this job.” Another like team lead, research lead is “Genie 3 or whatever is only worth five, credits, and NanoBanana2 is worth 10 credits,” and so the NanoBanana job gets priority. That's a, that's a made up example.Swyx [00:12:15]: It's very real. Brain Marketplace was real. And, we've, we've covered this on the pod with David Luan, who was-Anjney [00:12:20]: Oh, great. OkaySwyx [00:12:20]: Was there. And the criticism is that, well, actually sometimes you need central command to go all in on a thing. And actually sometimes capitalism via credits doesn't work. Not, this is not a criticism of AMP. I'm just saying, this is a thing that has been tried, internally within Google, and it led to Google missing GPT.Foundry, Frontier Labs, and Research HoardingAnjney [00:12:41]: Like, we structured ourself essentially very similarly to Google. We are structured as a holdings company. So, Alphabet holdings is Alphabet holdings, and then they've got these subsidiaries called Google and-Swyx [00:12:51]: Other betsAnjney [00:12:52]: Other bets and so on. We've got, AMP holdings, and we've got our infrastructure business, and then we've got a capital business called Foundry that incubates new frontier AI labs or invests in them as venture capital, like Periodic. We put a few hundred million dollars into Anthropic from our fund earlier this year. So wherever we feel like teams are making progress, especially researchers and so on who've pushed the frontier inside of existing labs like DeepMind, I find, there comes a point where they feel misaligned with the dictatorship of Alphabet holdings. And at that point, sometimes the dictatorship doesn't want them anymore. And they're “Thank you. You've done your job here. You've kind of helped us through the zero to one phase, and for whatever reason, we're going to deprioritize your amazing, omni model or whatever it is, and instead we're going to prioritize coding.” And, I think that's a tragedy, but I get it. They're Sergey and team are running their own business there. But that doesn't mean we the rest of us should sit around waiting for that progress to get unlocked for the rest of the world and humanity. If you think about how much extraordinary research has happened inside of DeepMind over the last 10 years, I, Demis and Sergey and those guys did such a great job. But at the end of the day, so much of that has never seen the light of day?Swyx [00:14:00]: Or they're like papers only, but they never actually shipped it to production or-Anjney [00:14:03]: What's worse is the paper is actually not even being published anymore ‘cause there's a six-month embargo inside of DeepMind, right? We've heard about this where a paper comes out, and then I think there's a six-month embargo window where if anybody on the business team says, “This could be interesting” It's embargoed for life.Swyx [00:14:18]: Exactly. So the stuff that gets published is the stuff that's not good enough.Anjney [00:14:21]: There's an adverse selection problem, basically. Yeah. At this point-Swyx [00:14:25]: It's, it's a common complaint at NeurIPS, by the way, that's “Well, why would I look at the papers that are the trash of GDM?”Anjney [00:14:31]: Again, I think it's a tragedy. I get it. They're running their business, but the rest of the I think there's negative externalities of research being hoarded, and so that'there's a market failure. And somebody needs to unlock that research, and we can't do it on our own. We only have 1.2 gigawatts of compute. That's nothing. That's about $40 billion of cloud spend. We're going to need a lot-Gigawatt-Scale Compute and End-of-Life PredictionSwyx [00:14:51]: By the way, is that's a new number. I haven't, haven't come across that gigawatt number. That's huge.Anjney [00:14:56]: Yeah. And to be clear, we haven't secured all of it. That's how much demand we have started to secure. I think publicly we haven't actually confirmed how much we have for this year. In order-Swyx [00:15:04]: Where do you want to get to?Anjney [00:15:06]: I think the steady state would be that we have a base load pool Of 1.2 gigawatts at all times Of base load capacity. For spike capacity, right now my estimate is we need roughly six gigawatts over the next four years for all our teams to feel like they were able to keep moving the frontier, whatever they're working on, whether it's, like superconductor discovery over here. There's a new investment we're working on right now, which is in the end of life prediction space in healthcare. It's extraordinary how much you can, you can give this was actually my graduate school work. I went to grad school for bioinformatics at Stanford Med. And I know we-Swyx [00:15:40]: Econ, MCS, bio.Anjney [00:15:41]: So my-- I was this really weird cat where, I was never satisfied with my major options. So at one point I was an econ major, then I was a CS major, then I was a MCS major called mathematical computational science, and they decided they were going to end that major. So I took all that coursework, and I applied it to grad school, my graduate degree in bioinformatics, which was the master's program, and then I thought I was going to do a PhD. I never ended up doing it. I dropped out and went to work at Kleiner. But I was lucky enough to apprentice with this professor at, Stanford Med. His name is Nigam Shah, and he was working on end of life prediction. Stanford is one of the only research facilities in America that has a longitudinal patient data set that's larger at scale. I think it's at least 12 million patient lives. The only larger data set is at the VA, the Veterans Affairs, of America. And to do research, like do any deep learning and so on that data set, it was called the STRIDE data set at that time, you had to be a Stanford Med School affiliate, which is why I went and enrolled in the bioinformatics department. End of deep learning was early. Nigam Shah had the visibility-- the vision to see that, you could do end of life prediction to help palliative care. In America, the, over 30% of all Medicare, Medicaid spend, at least at that time, was spent on end of life care. And what's we grew up in Asia, so we all-- Yeah, at least I won't speak for you, but I have A very different relationship with death than I find folks who grew up in America do. In America, spiritually and culturally, especially in Western societies where Christianity, the Christian tradition sort of frames death as this terminal point, there's often a judgment day and so on. The way we view death is with a finality. In Indian culture, in Hindu culture, death is one-Swyx [00:17:35]: Also, he's Buddhist as well.Anjney [00:17:36]: You're Buddhist, yeah. So it's one, it's one step in a journey of many lives, right? And so, I grew up in this city called Chennai in the south of India, and when people die, you dance on the street. There's like a procession where your body is carried to be cremated and your family, like celebrates and there's drums and so on. It's this huge thing. And, It's because the idea is that you're going to be reincarnated. You've been liberated from the responsibilities of this life, and now you're onto your next. It's a new It's like going off to a new college or whatever, right? And so it was so alien to me when I got here as an undergrad- That the medical system works backwards from that assumption that we have to view death as this terminal thing and delay it, postpone it's a bad thing. And so at the time, clinical decision support in the United States was this very primitive field. Even to this day, physicians in the United States often will tell you when you have a terminal disease, this is your, we've diagnosed you, which is great. Our ability to diagnose you is extraordinary. You have somewhere between six months to six years to live. What do you do with that information? The error bars are so high that then you In times of uncertainty, we default to culture, and when the culture is let's-- this is a bad thing, I've got to prolong my life, then you start doing things like And just to, just sort of from a systems perspective, what's going on there is Physicians often feel like they need to provide such high error bars because there's always some uncertainty in end of life diagnosis, and if you provide the wrong Diagnosis or recommendation to your patient, you can be sued for medical malpractice. And then your license can be taken away. It can be catastrophic for your career. In contrast, if in countries where that's not the case, what you often observe is that patients, physicians are quite prescriptive with their recommendation. They say, “Hey, this is your condition. The literature says that you probably have this much time on Earth left. My expert opinion is that you are an outlier or whatever.” And they try to be more prescriptive, and that empowers a patient, right? ‘Cause then a patient can say, “I trust my doctor. They said on average, I have six months to live, but if I do these things, I may have a shot because of my particular predispositions or my genetic history or whatever.” And that empowers you to go about your life in a actually more scientific way than leaning on religion, culture, spirituality, and so on. In contrast, here, because of that medical malpractice sort of thing looming over your head, a physician never gives you a clear recommendation. So instead you say, “Okay, Doc, well, let's try it all.” And then you start a whole regime of drugs and therapies, and then you often spend weeks and weeks in the hospital, and that deteriorates your quality of life. And when that deteriorates your quality of life, you instead of spending your last few days doing the things you love with your family, you're spending it on a hospital bed. And that ends up being thirty percent of Medicare and Medicaid. So it's worse for the patients. The doctors feel terrible. The American taxpayer is paying a huge amount of money. And so this is why Nigam Shah, who was this professor at Stanford, said, “Anjney, if there's “ I kind of sat down with him. I was this young, I'd, I was twenty-one, and I was “I want to work on a big problem.” He's “The big problem is end of life care.” And so we tried to do deep learning to say, to-- So we started trying to run deep learning on these tried patient data sets to say, “Could you have an AI system make a recommendation that is orders of magnitude more precise about how much time you have left once you've been diagnosed with a terminal condition than a human?” And then if we can get that precision to be high enough, then you can empower the patient. And it turns out the tech works. Like it's-- Once you get the data set, like RL works. Honestly, even regression models work. You don't need to get that fancy. At the time, we were just trying, doing like very simple neural nets.Swyx [00:21:54]: Simple solutions, yeah.Anjney [00:21:54]: Today, what we can do with RL is extraordinary. The problem remains then and now is regulatory, because you actually can't shift the burden of the wrong clinical diagnoses from the physician to the AI system. And so at that time, I got quite disillusioned ten years ago for, twelve years ago where, ‘cause I felt I just didn't have the resources to influence regulation. Today, I'm very lucky. I'm in a different place. I've, I'm a lot older, and so I've been spending a lot of time on my next incubation, which is how can we unlock the, patient empowerment by training AI models to do end of life prediction much, with much more precision and ac-Swyx [00:22:37]: Oh, wow. You're still focused on this the whole time.Anjney [00:22:40]: The-- I haven't been able to get, this out of my mind a single day for the last fourteen years. This is the hill I want, I would like to die on. There's two, I would say. What? I actually, I'd prefer not to die.Swyx [00:22:51]: Yeah, exactly.Anjney [00:22:52]: But I think two bipartisan issues, I think two issues that should be bipartisan in America are how do we empower patients to make the right clinical decisions at the end of their life, such that we're reducing the taxpayer burden with science? It's just good old science, and AI can help here. And the second is, net positive data centers, ‘cause I think that's the biggest critical bottleneck on training and good enough AI models to help people at the end of their life. So there's sort of two sides of the, of the same scaling bottleneck curve, but those two, we formed AMP as a public benefit corporation. My wife and I, who you've met, you've met Viv. Her passion is education. Her family is a long line of educators and so on, and, of physicists. And so this class is my attempt to stop being the black sheep of the family and be a, an educator. But if I'm not educating, the thing I would be doing is working, on these two problems, whether on the political spectrum or as a researcher back at, in some lab. And my hope is if anyone's listening to this podcast, if they're passionate about either of those two topics, I'd love to hear from them. We'll, we'll we can share the contact in the show notes, but, we're looking for people to join both of those missions on the, on the political side as well as on the medical side, on the research side.Frontier Systems, Output Maxing, and AlignmentSwyx [00:24:08]: You said, this is a discipline that you want to form. You call it's called variously called Frontier System. It's variously called One Person Frontier Lab. What is the ideal name or shape of this? Like the, what is the mission?Anjney [00:24:24]: Of the class?Swyx [00:24:26]: Of the discipline that you're, exploring, right? I The class is called Frontier Systems. But like for me, maybe one phrase is you're, you're just anti-waste, right? Which is wasting GPUs, wasting in human and Medicare. But is there, is there a broader theme that I'm, that maybe you can encapsulate more succinctly?Anjney [00:24:45]: Yeah. The, from an engineering perspective, it's very simple. It's output maxing. It's the, it's the department of output maxing.Swyx [00:24:51]: Making the most of what we have.Anjney [00:24:52]: Exactly. I'm a huge believer in optimal outcomes. I think both in America and other countries, we are losing our appreciation for nuance, and this is the thing of And AI is the same case, right? Oh, the bitter lesson holds. Okay, fine. But that doesn't mean you just like throw 500 GB300, 500,000 GB300s at your suboptimal model scaling and you waste a bunch of compute. It also doesn't mean that, the most optimal is to have like 50 different architectures where there isn't enough standardization. One of the reasons Anthropic has had extraordinary sort of velocity is ‘cause they picked the transform architecture and said, “This is simple. Let's double down on it,” right? And now luckily there's enough investment going to the space that we can afford other architectures, but at the time, investment was just too fragmented into other architectures, so that arguably unlocked scaling. So I think there's a philosophy. I think we all owe it to ourselves to do output maxing with a new capability called AI on a global level. I think if I was starting a new department at Stanford, depending on how fuzzy or technical I wanted to be, I'd probably call it the Department of Alignment. Like-Swyx [00:25:59]: It's an overloaded termAnjney [00:26:01]: But it is, But alignment really Is a hard problem. And I think when you unlock it, full stack alignment is super hard in any organization and in any system. Like in a, in a venture capital firm, if you can have full stack alignment between your limited partners and your, the founders who are creating the value and ultimately the public that owns the IPO stock, that is a gift that keeps giving. And when you study the history of these systems, when they start off, they usually start out small scale where the feedback loop is actually so tight that there's alignment. And then the more you try to scale, the more division of labor happens, the more specialization happens, and at each step you add abstractions. And wherever there's an API interface, there's like loss. There's communication loss. And so I think a really cool thing would be for us to figure out is there a way for us to have our cake and eat it too as an engineering discipline? Is there a way to actually scale up and scale out Without losing any alignment, without lossy transmission?Swyx [00:27:01]: You mean standards?Anjney [00:27:02]: So standards is one way. The other way is you just have net new capabilities. So like what we're trying to do here is discover new superconductors. A room temperature superconductor would be a lossless transmission mechanism for energy. We would have flying cars. We are right within a few years of having a new room temperature superconductor. So I think those are the two. You either have to standardize On protocols or API specs that allow lossless communication, or you can come up with a whole new capability that unlocks so much abundance, the standardization doesn't matter ‘cause you just unlock net new capacity. This, the, so this is what I spend my days thinking about these days.Compute Markets, SF Compute, and Non-NVIDIA ChipsSwyx [00:27:38]: No, I think every infra person at, who wants scale and wants to output max does eventually end up thinking about this. We don't have time to go into it, but we have done an episode with SF Compute-Anjney [00:27:50]: Oh, coolSwyx [00:27:50]: That is trying to standardize The futures contract for compute. I don't, I don't know how that's going by the way, but like at some point this will be public.Anjney [00:27:57]: Oh, I think Evan is awesome and SF Compute is the kind of effort that I hope we can accelerate because what often happens is these exchanges are very hard to get, they, it's hard to bootstrap them, right? Because they often require-- There's many inefficiencies between parties. There's trust boundary inefficiencies in infrastructure because you don't trust, one part of the stack doesn't trust another part of the stack to give them visibility. There's capital markets inefficiencies, there's operational efficiencies. So if you can inject like a single shock to the system of a ton of compute demand or supply, then you can accelerate, these new flywheels. And so my hope is one day, or soon, if SF Compute needs extra like has excess capacity, they just hook it up to the grid and they get flooded with demand from us. And on the other side, if they have a ton of demand but they don't have supply, they just again hook up to the grid and it's a two-way protocol where they can just hook up to our capacity. And I don't think we're too far from that. Today our working implementation of it is mostly through a group of labs, universities, and a few sort of trusted parties who are, who all feel like they're in alignment to borrow an over sort of used word. But our hope is to just have it be an open protocol that anyone can hook up to on-Swyx [00:29:20]: Hook up for demand or hook up for supply? In primarily demand, it sounds like. Like you-Anjney [00:29:25]: No, bothSwyx [00:29:26]: You would want to offer demand.Anjney [00:29:27]: Both. Yeah. Unfortunately, what's happened in the last six weeks is, we thought we'd have a bunch of excess capacity by the end of this year. It's all gone.Swyx [00:29:37]: It's exploding.Anjney [00:29:38]: It, yeah. It's all gone. And so I have, my text messages are full of friends, we know many of these people, these are founders who've raised billions of dollars in San Francisco going, “Oh, any chance you have like 50 nodes in the next few weeks?”Swyx [00:29:51]: What is the scope for, non-Nvidia, right? You have Lisa Su coming and, Rainer Pope as well. And so There is a lot of demand for, more performance Alternative architectures and all that. At the same time, this hurts your standardization.Anjney [00:30:11]: I don't think so. So actually Rainer's a great example, right? Rainer is a CEO and founder of, MatX. I actually had him by for office hours in the class earlier today, and there was an insight he brought up that I hadn't considered before, which is when they decided to pick the standard For their data center, they picked the NVIDIA reference architecture. So the MatX chips Just plug in to any site that has an NVIDIA bring up planned. And, the-Swyx [00:30:42]: It's just software then. It's, it's not the-Anjney [00:30:44]: A-Swyx [00:30:44]: Hardware.Anjney [00:30:46]: Well, from an input and IO perspective It's the same footprint as an NVIDIA rack.Swyx [00:30:52]: That makes sense.Anjney [00:30:53]: Where they have done, innovated a bunch from what I can tell is on systems co-design. Which is where a lot of the gains are to be had. And so he picked He was “Anjney, we, there's just so much work to do when you're building a new chip company.”Swyx [00:31:08]: Can't fight every front.Anjney [00:31:08]: You just can't fight on every front. So my question to him was, “Well, you're working on this new chip. Their tape-out is next year. What, who are you going to partner with to host the chips?” And he said, “Whoever will host them. That's just not, that's not my focus.” And I said, “But how did you “ you decided back to our earlier systems design question, he decided that, he didn't want to be a full, fully integrated chip provider. The bottleneck they're focused on is the logic die, and they, he feels they can crank out a ton of performance gains through co-design there. But then that means you delegate, to our question earlier, it, you he's the data center provider is a different part of the stack, and so then he's dependent on that part of the ecosystem to host his chips to get the performance gains to the customer. So now you have another abstraction, and you might have loss. So I asked him, “How do you prevent loss?” And back to your point, he said, “I just picked the NVIDIA standard ‘cause I didn't want to Like I wanted to piggyback off of an existing protocol.” And that, what's great about NVIDIA is that reference architecture is known.Swyx [00:32:15]: Open.Anjney [00:32:15]: It's open. They've published it. So Jensen's actually enabled someone like Rainer to build a chip company like MatX, and I don't see them as competitive. The compute demand is so high. Like, I don't I think NVIDIA's not able to meet the demands of production, so we just need more chips. And I think it's very smart what MatX has done, which is say, “We're just going to we're not going to innovate on the data center design ‘cause actually, thank you, Jensen, you've done all the hard work. Where we can innovate is somewhere else.” And I think that's, that's very healthy. I think that's how we unblock new bottlenecks. And my view is these, the, chip teams like MatX, who have arrived at the insight that co-design is the way, The primary bottleneck for them is trust boundary. To do co-design well, you need visibility into the next model generation as soon as possible ‘cause it takes two years to tape out. So if by the time I bring my chip to market, your model architecture's changed, I'm host. Now, when he was inside Google, he was sitting next to the Gemini team. He was on Palm or whatever.Trust Boundaries, Co-Design, and Researcher CEOsSwyx [00:33:19]: His co-founder was the, was one, was one of the Palm guys, I think.Anjney [00:33:23]: Yes. Yes, exactly. So when you're inside the trust boundary of Google, then your systems co-design loop is super tight. When you leave as a founder, one of the biggest risks you take is now you're outside the trust boundary. And so what I love doing is helping chip teams who can help us unlock more capacity for the independent ecosystem access to trust. Because when I If I've been, involved with a lab from day one, and I was lucky enough to work with Anthropic, and then I'm on the board of Mistral and helped Black Forest Labs get started. I think at this point I'm on six or seven different teams.Swyx [00:33:57]: Only six? I feel like my mental number was going to be 13, but yeah, it's-Anjney [00:34:02]: No, I go deep with one at a time.Swyx [00:34:04]: You're founding CEO of Arena.Anjney [00:34:07]: Nah, that was an, that was an-Swyx [00:34:08]: Administrative CEOAnjney [00:34:09]: It was an administrative five-month gig where Whalen and Anastasios were graduating from their PhDs, and they didn't need a product team. So I helped recruit the head of engineering product and design. But Anastasios has always been the CEO of that company. I played a pinch-hitting I'm an intern. I was CEO intern For five months. -Swyx [00:34:33]: I interviewed him, and he's he's very well-spoken. I think he's a debate, former debate, champion. But also very quantitative and mathematical, which is-Anjney [00:34:41]: He-Swyx [00:34:41]: Such a unicorn.Anjney [00:34:43]: See, what's amazing about him? If you look at his output, he's an output maxer. By the time he was graduating from his PhD, which he only graduated last year, he had published more work with a citation count than, people twice his age. But at the same time, he'd already started a project called LLM Arena that was being used by millions of people As a side project. And time and time again, what I've realized is venture capitalists suck at seeing human beings as, dynamic agents where-Swyx [00:35:14]: They want to put you in a boxAnjney [00:35:15]: They want to put you in a box.Swyx [00:35:15]: This is your thing.Anjney [00:35:16]: So the first time I got introduced to Anastasios, somebody had told me “Oh, he's amazing, but he's a researcher.” I was “what? What do you mean he's a researcher?” That's what-Swyx [00:35:28]: Like he's not a CEO, not a founder.Anjney [00:35:29]: Not a CEO, exactly. I was “Are you crazy? Do you Have you met Dario?” Dario's a scientist. He's gone from zero to, what will soon be a trillion-dollar company in four years. Being a CEO, nominally speaking, is not that hard. Being a good CEO is hard. Being a great CEO actually requires a level of performance that scientists who have already published at the top of their field have accomplished. It is super hard to be a competitive scientist. To publish in academia over the last 20, 30 years, to make it to the top of your discipline at a place like Berkeley, you are a star athlete. Like, you are an athlete of the mind, and you perform at the highest levels. And to get there, whether you're, Anastasios or Whalen at Berkeley, or you are Robin, who-Swyx [00:36:23]: BFL, yeahAnjney [00:36:24]: With Black Forest, who created Stable Diffusion, or if you're, like Guillaume at Meta, who created Llama before he started Mistral. The amount of human leadership you have to demonstrate to get the resources, like get the trust of the organization, publish it, put it up. I would just fund researchers all day Right? If who have contributed already to the field. If they've, if they've put SOTA out there, they're, they're star athletes already. If they haven't done SOTA Look, they can still be good CEOs, but then I find the failure mode is that they just don't want to be CEOs, they primarily want to publish, and that's okay, too. One of the things we do with the AMP Grid is we donate excess compute. We have two nonprofits, like university labs. We carved out like a couple thousand H100s. But I do think there's extraordinary research being done on university campuses. My father-in-law's a physicist. He's a professor. Extraordinary work in physics, and we need that. But if you want to be a CEO, what you need to be willing To do is be super confrontational, outside of science. Like within the scientific community, some of the best researchers are very confrontational about their convictions, right? This architecture is right. To be a great CEO, you basically have to be willing to be confrontational up and down the stack.Swyx [00:37:41]: To your own team.Anjney [00:37:42]: To your own team-Swyx [00:37:43]: To customersAnjney [00:37:43]: Hiring, recruiting customers. Well, I would say, Yeah, pretty much to everyone Everybody. Of course-Swyx [00:37:50]: I see, I feel a little bit of that in my own work, but yeah, I can't imagine the stakes that Dario has had to go through. It's, it's pretty insane.Anjney [00:37:56]: No, I don't think the stakes are that different From how you're feeling it, right? Stakes are personal scaling vectors, right? The stakes that seem so low to you, like having this podcast where you can talk to somebody and just have a you're an extraordinary communicator, right? Like already in this conversation, you've pulled more out of me than most people, and I've been on 12 podcasts in the last two weeks.AI Coachella and First-Principles ThinkingSwyx [00:38:17]: I think I, we've just seen each other enough that there's some base trust.Anjney [00:38:20]: There's base trust.Swyx [00:38:20]: And I think, and I know that you, that I've done my homework and like I know that trust is a big deal for you, so.Anjney [00:38:27]: I think trust is about consistency, and you and I have seen each other In the community for years, right? Like, I remember the first time we met was at NeurIPS in New Orleans. I don't know if you remember that, luncheon.Swyx [00:38:38]: Oh my God.Anjney [00:38:39]: Reiko had set up this Reiko's amazing, and he set up this luncheon and-Swyx [00:38:43]: Yeah, I was “Who's this Discord guy?” I'm “Okay.” But-Anjney [00:38:45]: No, you weren't-Swyx [00:38:46]: You were just “You made some investments.”Anjney [00:38:47]: You were much less polite. You were “Who's this VC?” You're like-Swyx [00:38:51]: No, I Was I? Oh my God.Anjney [00:38:53]: It was-Swyx [00:38:53]: I'm so sorryAnjney [00:38:53]: It was visible on your face.Swyx [00:38:54]: I'm so sorry. But you weren't, you weren't The introduction was bad. I was I didn't know who you were.Anjney [00:39:00]: The, see, this is the thing about context, right? Like, but then I think I heard your accent. And I was “Are you-”Swyx [00:39:06]: Singapore, yeahAnjney [00:39:06]: “Are you Singaporean?” And you're “Yeah.” And I said, “I went to high school, JC, in Singapore.” And then the ice broke. But This is the there are in the scientific community, sometimes the stakes are very high for people who haven't had the emotional, what is called EQ Coaching and mentorship, right? Which is like to have scientific impact, you often need to be a extraordinary emotional, like emotionally in tune person with the folks you're trying to influence. And so what comes so naturally to you is actually a super high stakes thing to other people. And so I wouldn't assume that Dario's more stressed out than you. These things are you'd be surprised how similar and small sometimes the problems are to you That some of the world's biggest, leaders are facing. And that's what I've learned from this class. The guest speakers are Sam, Satya, Jensen.Swyx [00:40:01]: AI Coachella.Anjney [00:40:02]: Yeah. It's AI Coachella, right? So we got to get all the headliners, and they're I'm very lucky that some of these people have either mentored me over the years or I've done business with them. And when you, take the performative stuff out and any assumptions you may have about these people that you read in the press or on Twitter, We're all just humans. We're all trying to get along. And what's so special about this moment is AI is forcing, like scaling, the bitter lesson is forcing a lot of people to revise their assumptions for how the world works and go back to first principles or go and educate themselves. So the kind of people I was, I won't name who this person is, but I was at an event last week in Texas and, ran to somebody who said, “Anjney, I came across the class. What do you think about real time action prediction models?” And I was, don't know how happy it made me feel when they asked me that question. I know they've done the work. They've challenged themselves. I'm, they didn't ask me, “What do you think of world models?” They said, “What do you think of n-”Swyx [00:41:04]: Real time action predictionAnjney [00:41:05]: “action, real time action prediction models?” World models, don't get me wrong, are cool and everything, but you and I both know that is a layer of abstraction that is sometimes not usefully precise enough. Right? Ours-Swyx [00:41:16]: There's like four different kinds of world models.Anjney [00:41:17]: Yes, exactly.Swyx [00:41:18]: We've done the part with general intuition, by the way, which is very focused on, -Anjney [00:41:22]: Oh, cool. Yes. I love Pim. Pim is great. And this is what I love about people who've done that level of work. They realize they're not in competition with people who the rest of the world thinks they're in competition with.Swyx [00:41:34]: Because they're not in the category, they're in the specific thing they're trying to do.Anjney [00:41:37]: They're focused on their mission, and they have a systems understanding of the bottleneck they're trying to solve. And when somebody else says, “I'm working on real time, action prediction models too,” Pim goes, “Oh, I love that person. I want, I can learn from them.” But the minute they're “Oh, that person's a world model person,” it's “like which type of world model person?” But mostly they're just trying to figure out if it's a waste of their time, because we don't have enough time. So, Pim, for example, is super, loves this other company I work with we've talked about called Black Forest Labs. And he's mentioned to me multiple times that he's so, He thinks what Flux is doing is really cool. Andy Blattman came by and spoke in the class. And what I find over and over again is for people who do the work, who can be usefully precise enough about like what is actually going on in the world of frontier research, The sense of camaraderie is still well and alive, but it gets lost sometimes when you have to like abstract The technical complexities in, business terms And then the VCs are “How are you different from that world model?” I'm going to say Where do I even start to explain this stuff? And then the misalignment creeps in.Leading vs. Winning in Frontier AISwyx [00:42:43]: This is good. Yeah, I think, people listening get a sense of, what it is like to operate at a real level, like yourself, rather than at, the journalist level, where you have to sort of put everyone in, a rough category and create a narrative of competition, and who's winning today, who's behind.Anjney [00:42:58]: It-- this idea of winning is so Weird to me.Swyx [00:43:03]: You do want to win. You want you want competitiveness.Anjney [00:43:06]: No, I think you want to lead.Swyx [00:43:07]: You want SOTA.Anjney [00:43:07]: No, I think you want to lead. Yes, so you want to push the frontier. You want to push the SOTA. You want to do something that hasn't been done before. You want to capture value, but you don't want to capture so much value that, people think you're unaligned with your mission or trying to do what's best for the world. You want to capture enough value that you can keep innovating, right? And I think that people want to lead, they don't really This idea of winning and losing, again, I love Jensen. He's a, he's a leader. The mindset that he talked about on Dwarkesh's podcast, right? He's “I didn't wake up with a loser mindset.” I think that was awesome, right? Because he's, he's an engineer. Dwarkesh has done the work. So there's at least-- even though the, to me, it was very obvious they're talking about the same thing, they just passed each other. They just had to basically, Jensen has this, five-layer cake abstraction of how the industry works. And Dwarkesh had, I think from that podcast, had more of, a pre-training, mid-training, post-training systems loop concept.Swyx [00:44:04]: It's just a factor of who he talks to, right? Again, it's very clear.Anjney [00:44:06]: It's the systems It's the abstraction, the mental models, the It's the whole-- Dude, so much of the problem in the world is reasoning by analogy. And then the assumptions that are held invisibly.Swyx [00:44:19]: Yeah, I've, I've said, this is actually the best time in human history for first principles thinkers. Because everything you think will happen is actually now coming true.Anjney [00:44:28]: Correct. And the venture capital community is, notorious for this, where people look-- In times of uncertainty, they, cling to axioms that ended up being true from the previous era, and they kind of like proclaim them with confidence as if they're truths, but they're not. And it's very important to see the distinction between a heuristic and an axiom. An axiom can be proven-Swyx [00:44:55]: Like from internal consistency point of viewAnjney [00:44:56]: With internal consistency. A heuristic is a way you kind of a shortcut. And my God, the number of people I have had to put up with over the last few years who proclaim-- use heuristics As axioms to judge people, to judge which companies are going to succeed or the number of people who are “Oh, yeah, Anthropic, they're just training models right now,” but this one continue.Swyx [00:45:22]: Because that's a B2B SaaS?Anjney [00:45:23]: Yeah, the, like Which over the fullness of time, if you squint at it, maybe. But the way you arrive there is so important that you can-- you just, you can dismiss people. Here's what happened, right? What happened is Anthropic basically achieved takeoff in October of last year. That training run-Swyx [00:45:41]: Whatever, three seven?Anjney [00:45:42]: I forget the numbers now, but whatever that checkpoint was-Swyx [00:45:45]: We saw the cognition.Anjney [00:45:46]: Yeah. Right? You probably-- The, to those of us in the community, especially once post-training was done and it was released in December-Swyx [00:45:52]: Yeah. Can I sneak a sneaky question in there? I don't know if you have a perspective, maybe you don't, I just The number one question is how did Anthropic crack coding, right? Because Claude One, Claude Two, okay, like it was part of it, but it wasn't a big deal. And the leading hypothesis, it's a lucky dice roll that was then compounded, right? Like it was like Mildly better, but then they saw it and they were “Okay, let's really invest.”How Anthropic Cracked CodingAnjney [00:46:17]: I had this very annoying teacher. I went to this boarding school called Rishi Valley in India, which is like this, bird preserve. It's like three hundred and fifty acres of bird preserve in rural India, and there was no technology for seven years. There was this teacher, I won't name them, but they would have this-- I hated it every time he said this to me. He was “Luck fa-favors the prepared mind,” which is like a common saying, but the way he delivered it, always grated me, ‘cause he was always I was always one of those kids who got, a good grade without trying very hard. ‘Cause like high middle school is not that hard if you, if you're generally, paying attention and so on. And there was this one time where I-- But then I would get an eighty percent grade, and he would keep pushing me to say “The reason you didn't get the ninety-five plus percent is because you're not that lucky.” And I would say, “What do you mean?” ‘Cause I would think that I deserved that grade, and I would sometimes argue with him. And he'd say, “You didn't have a prepared mind. If you want to get lucky again “ There was basically one time where I got like ninety-five or ninety-six on this, on this subject, and I, now that I felt entitled. I was “Okay, I'm going to keep doing this,” and I didn't. And then he was “Luck favors a prepared mind. You got lucky last time, but you got to stay prepared.” And I didn't understand what he meant. Now, as I'm older, I'm okay, these adults actually knew a thing or two. Anthropic has been the most prepared company for four years. And so then when the right, context data comes in, the right developers start sending in, the right context diffs, Sure, you could say you got lucky, but if you ask me, they're pr-pretty damn prepared with paranoia for like four years. And you have to remember, it was so hard for them to get going early on that they had to do so much more with so much less that you just have to be prepared to be so efficient.Swyx [00:48:06]: Yes. There's numbers on their burn compared to OpenAI. I've, I've written about it, but they are so much more efficient in their, in their tech stack.Anjney [00:48:14]: It's not even It's not funny.Swyx [00:48:14]: Not even close.Anjney [00:48:15]: Yeah. But it's so clear, right? Like how to output max for the world. They have been prepared, and you could call that luck, but Luck favors the prepared mind.Culture, Hardship, and Anthropic's P0Swyx [00:48:25]: This is one of those things that I was going over some of your old lectures and, you were data, people think it's a moat and actually it's culture and actually it's team Actually. And I, it's-- there's different levels of moats, and this is the ultimate one that determines everything else. Which you can then compoundAnjney [00:48:43]: You're saying culture is the ultimate moat? Yeah. But the thing about culture is it's very fragile. So moats, I don't think they're-- there's very few moats I found that are actually moats. They're-- It's, it's a nice concept, but in reality, you have to replenish your culture. Ben Horowitz was, the speaker in CS153 on Tuesday, and I asked him this question about the culture bottleneck in teams because, there are several AI teams-Swyx [00:49:09]: His book, Hard Things About Hard ThingsAnjney [00:49:11]: Hard Thing About Hard Things. But more concretely, there are so many AI labs today that have all the cash they need, they have all the compute they need, and they're still not able to ship anything SOTA. And then you start seeing people leave and so on, and my diagnosis, it's, is it's the culture. And so I asked him, Ben, they're-- He's been one of the most aggressive investors in AI labs. He goes back to this thing which resonates in my mind a lot. It-- When I used to work at a16z, I would, book a conference room, and right outside the conference room, which is closest to the toilet ‘cause it was the fastest way for me to go use the bathroom between Zoom meetings-Swyx [00:49:45]: Oh my God, I'll put maxing my toilet optimization. Okay, never mind.Anjney [00:49:48]: It was not healthy in hindsight, but maybe this is TMI. But anyway, outside that conference on the wall was this quote that was printed that said, “Culture is not a set of beliefs, it's a set of actions.” And it's by Bushido, is this, Japanese philosopher. And if you stop taking the actions that demonstrate the mission alignment to what you've said to your team and to your-- the world matters to you, then your culture starts to fray. So it's not actually a moat, I would say. It's a very brittle, fragile thing that requires daily tending to like a garden. But if you figure out the system to keep that garden tended, which I think ultimately comes down to knowing yourself ‘cause you most naturally, if you're authentic and so on, you'll naturally make trade-offs that seem effortless to you, but that reinforce your culture. And then That becomes this very hard thing for other people to catch up to. And at Anthropic, from day one, there was this mission like-- missionary like zeal and belief that, hey, these capabilities will scale. These systems are stochastic, not deterministic. There will be error bars, and until we crack interpretability, there's risk. And at some point, people will go-- stop using Claude just for coding. They'll use it in some mission-critical context where there's-- it'll throw off a bug, and then people are going to come blame them, and they want to be on the right side of history where they said, “Yes, this is a powerful technology. We think it's going to change the world, And we want to be very measured and scientific about the fact that, ‘Hey, guys, these are stats models, statistical models.' That's how statistics works.” ultimately, when you're training neural nets, it is just a statistical system. And I think that Belief that safety is important and that it might seem toy-like in the early days, and sometimes, you could say, “Anjney, they totally over-exaggerated the risk,” like two years ago when they said, “Let's not launch Claude One,” or whatever. Well, okay, maybe in hindsight, but hindsight is twenty/twenty. And at the time, they didn't know how that model would be used, and to them it felt existential if somebody came and said, “You weren't responsible. It-- This wrote a bug.” The liability associated with that is massive. So how do you prevent against that? Well, day in, day out, you say safety. And when you start deviating from that, you have the team hold you accountable, you have the world hold you accountable, and I think that becomes a moat over time. At some point, that moat will get challenged and so on, and then it become fragile. I hope it endures because that's the beauty of having founders run the show, ‘cause they can make really hard trade-offs to do mission alignment. The hardest part is in the earliest days when you don't have a group of people who are going through difficulty, stress, crisis together, then your culture doesn't get defined sharply enough, and that's what I'm worried about right now, is there's so much money going to these labs. There's no hardship. There's no-Swyx [00:52:50]: To anyone who knowsAnjney [00:52:51]: There's no to anyone who knows. And that, in hindsight, was a feature, not a bug for Anthropic. The number of people who said no, the number of people who said, “Sorry, we're all doing investors in OpenAI,” that is competitive difference. It forces you to really understand, what is the hill you want to die on at the expense of everything else. What's the P zero? And there, P zero from day one was coding. The reason, the mechanism system there was if we crack coding, Then we will crack AGI. Our mission is AGI. We want to get there safely. If we focus on codin
On this episode of Fishing the DMV, we sit down with CJ Craft to break down the current state of Potomac River bass fishing, tidal bass fishing, and what it takes to catch quality tournament fish on one of the most pressured bass fisheries in the Mid-Atlantic. CJ recently finished tied for 2nd place in the Shenandoah Division BFL on the Potomac River with 15 pounds, 13 ounces, and he shares exactly how he approached a tough tidal river tournament where the bite window opened early and every key decision mattered.We talk in-depth about the challenges facing the Potomac River right now, including the lack of submerged grass, shrinking grass beds, heavy boat pressure, lower tournament weights, and why the river is “fishing smaller” than it has in past years. CJ explains how limited grass has pushed more anglers into the same community holes around areas like Belmont and Occoquan Bay, why grass fishing on the Potomac River has become more difficult, and how hard cover fishing has become a major factor in catching quality largemouth bass.CJ also breaks down his BFL fishing strategy, including how he practiced for the Shenandoah Division BFL, why he stayed close to takeoff, how low tide positioned his fish, and how he caught every bass he weighed before 8:00 AM. We dive into tidal bass fishing tips, understanding tide timing, fishing around pressure, making adjustments during tough conditions, and why overlooked water can be the key to catching bigger bass in Potomac River tournaments.In this episode, we also cover the Battle of the Border Series, Maryland vs. Virginia tournament fishing, local Potomac River team tournaments, and how CJ and Jeff Whitner adjusted from a hard cover pattern to a grass-oriented pattern in changing tidal conditions. CJ shares his thoughts on Potomac River spawning windows, spring bass fishing, chatterbait fishing, Thunder Cricket setups, fluorocarbon vs. braid, and how to target quality bass when the river is not producing the giant bags anglers are used to seeing.Toward the end of the show, we explore another unique Maryland tidal bass fishery: the Patuxent River. CJ introduces us to the Pax River Elite Series, fishing around Jug Bay and Jackson's Landing, and how the Patuxent River offers a completely different style of Maryland bass fishing with muddy water, current, laydowns, lily pads, hard cover, largemouth bass, smallmouth bass, snakehead, stripers, and catfish. We also compare the Patuxent River to other tidal fisheries like the James River and Chickahominy River and discuss how fishing tight tidal creeks can help anglers become better tournament fishermen.If you want to learn more about Potomac River bass fishing, tidal river bass fishing, BFL tournament fishing, Maryland bass fishing, Patuxent River fishing, grass fishing, hard cover fishing, chatterbait fishing, low tide bass fishing, spring bass fishing, pressured tidal fisheries, and how to catch more bass in tough tournament conditions, this episode is packed with local knowledge, tournament insight, and real-world fishing experience from CJ Craft.CJ Craft on Facebook: https://www.facebook.com/cj.craft.451534 Pax River Elite Serious Invitationals: https://www.facebook.com/groups/420654917404080/ Please support Fishing the DMV on Patreon!!! https://patreon.com/FishingtheDMVPodcastIf you are interested in being on the show or a sponsorship opportunity, please reach out to me at fishingtheDMV@gmail.comLMD Enterprises: http://lmdoil.com/ Jake's bait & Tackle Website: http://www.jakesbaitandtackle.com/ Link to Tactical Fishing Company: https://tacticalfishingco.com/ Fishing Pro Tech: https://www.facebook.com/FishingProTech Phone Number: (757) 566-1278 Email: lin@fishingprotech.us Fishing Pro Tech Address: 7812-A Richmond Road, Toano, VA, United States, 23168Flint Financial Planning: https://bit.ly/43t8h5N Max4 Fishing: https://bit.ly/4unuiOs Support the show
Most strata councils think insurance is random. It's not. Premiums go up. Deductibles change. And it often feels completely out of a council's control. In this episode of Stratagize, Brent Anderson and James Milne sit down with Kim Lundberg from BFL to unpack how strata insurance actually works behind the scenes, and what insurers are really evaluating when they price a building. They explore how hard and soft markets function, why claims history and loss ratio matter, and how maintenance and post-loss decisions shape future outcomes. You'll also hear why brokers aren't just placing insurance, they're selling your building into a competitive market. The core insight is simple, but uncomfortable: Insurance outcomes aren't random, they're a lagging reflection of how a building is run over time. If you're on council, this episode will change how you think about risk, maintenance, and long-term planning, and why the decisions you make today matter most when the market eventually turns. Connect with Stratagize: Website Linkedin Email Connect with Brent Anderson Linkedin Connect with James Milne Linkedin
We're announcing AIEWF speakers this week! Take the AI Engineering Survey!Today's guest Ethan first joined us for the LS Paper Club as the lead on NVIDIA Cosmos World Model, but then joined xAI and built Grok Imagine in 3 months:He comes back on Latent Space with some nuclear hot takes: that Video Models primarily get their intelligence from LLMs, not from training on video data, and that the next frontier for truly interactive, realtime, long-horizon world models is to work on LLMs (perhaps Interaction Models as well…)Put it this way: In the near term, the next Sora won't be a better video model, but a video agent.Generative Media may more closely follow the evolution of AI coding which went from focusing on one-shot output performance and cost, to multiturn reasoning and planning models for agents and systems that can plan, edit, test, debug, and submit PRs.At a certain point, coding models got so good that the only significant next step to improve performance was handling the orchestration of these models.Now as the performance of video models increases significantly across realism, consistency, & prompt adherence while becoming more cost efficient, the next evolution of video generation may also be systems that can plan, generate, edit, critique, and iterate across an entire creative task. In this episode, Ethan joins swyx and Vibhu to unpack what it actually takes to build frontier image and video systems: data, VAEs, diffusion transformers, audio-video alignment, inference speedups, and the hidden cost of storing and moving massive video datasets. From building NVIDIA's Cosmos world model to joining xAI as Grok Imagine was being built from zero to one, Ethan He has been at the center of some of the most important work in video generation, multimodal models, and real-time world models.We go deep on Grok Imagine, how a small xAI team shipped its first multimodal video model in three months, why iteration speed matters more than almost anything in model development, and why many of the biggest gains come from fixing tiny bugs in data and training pipelines. Flipbook: The future of VideomaxxingVideo agents are almost a sure bet to be the trend in the coming year. We end with a glance at what's beyond video agents:Flipbook caused a minor sensation this year when it was released, but most treat it as a fun demo. Ethan takes it very seriously — with the speed and cost of inference coming down every year, the future of custom video JIT UI is closer than you think. We talked about why videogen models may become the front end of AI, how generative UI could replace traditional HTML/CSS, why world models need to be real-time, interactive, and long-horizon, and why the future of video generation may depend more on language models and agents than on diffusion alone.We discuss:* Why fast iteration mattered more than meetings* Why small training bugs can drive huge model quality gains* Why coding models may make compute the bottleneck again* How image and video models are trained with synthetic captions* The role of VAEs and latent space in frontier video models* Why image models are the foundation for video models* The tradeoff between temporal compression and real-time interactivity* Flipbook, Neural OS, and the future of generative UI* Why future interfaces may go from user intent to pixels* The hidden cost of training video models: storage, egress, and GPU hours* How step distillation and consistency models (like OpenAI sCM) makes video inference orders of magnitude faster* Grok Imagine 0.9 and large-scale audio-video generation* Why audio-video alignment is harder than text-video alignment* Ethan's definition of world models* Reference-to-video, video extension, and long-context video generation* Why xAI's research communication undersells Grok Imagine* How xAI culture shaped the speed of development* AI watermarking, SynthID, and detecting generated media* Why prompt rewriting matters for video models* Grok Imagine Agent and the rise of video agents* Why language models may unlock better video generation* Robotics, physical AI, and embodied world models* Why Ethan left xAI and shifted focus toward LLMs* Self-managed context, memory, and the next frontier for language modelsEthan He* LinkedIn: https://www.linkedin.com/in/ethanhe42* X: https://x.com/EthanHe_42Timestamps00:00:00 Introduction00:01:25 From NVIDIA Cosmos to xAI00:03:24 Building Grok Imagine from Zero to One00:10:07 How Image and Video Models Are Trained00:18:53 Video Compression, VAEs, and Real-Time Tradeoffs00:22:10 Generative UI, Flipbook, and Neural OS00:32:10 The Cost of Training Large Video Models00:37:04 Distillation, GANs, and Fast Video Inference00:41:21 Audio-Video Generation and Grok Imagine 0.900:48:34 What Makes a World Model?00:55:51 Reference Videos, Long Context, and Video Memory01:00:11 xAI Culture, Research, and First-Principles Building01:09:45 AI Safety, Watermarking, and Prompt Rewriting01:13:10 Video Agents and AI-Assisted Creation01:27:32 Why Language Models Unlock Better Video01:31:15 Robotics, Physical AI, and Embodied World Models01:32:38 Why Ethan Left xAI01:34:16 Self-Managed Context and the Future of LLMs01:38:43 Ethan's Career Path and Closing ThoughtsTranscriptIntroduction: Ethan He, Latent Space, and the Path to xAISwyx [00:00:00]: We're here in the studio with Ethan He, most recently of xAI. Welcome.Ethan [00:00:10]: Thank you. Glad being here.Swyx [00:00:11]: We're also here with Vibhu. you were first coming to us or joining the latent space world because you were working on Kosmos at NVIDIA, and you did a paper. We loved it. you presented it as well, so thank you for doing that.Ethan [00:00:23]: I've actually, I also presented the MoEs twice at latent space.Swyx [00:00:29]: How did you actually hear about us? Did we reach out to you? Is that how it worked?Ethan [00:00:33]: No, actually, I-- the community. Like I realized, oh, there is this online community that people talk about AI and also learn from each other through papers every week through the Paperclip. It's very nice.Ethan [00:00:49]: I learned a lot.Swyx [00:00:49]: I think three years stop. We haven't stopped even on Christmas and New Years. many weeks I want to stop but it keeps going.Vibhu [00:00:58]: No, that was good. I think you had posted that you worked on a paper, and I was “Oh, very cool. We have Paperclip. Present then.”Vibhu [00:01:04]: But I might have reached out to you after.Swyx [00:01:05]: you-- because it's an amateur club, right?Swyx [00:01:08]: so it's very unusual and but we have sometimes paper authors come by and actually explain the paper. Today we just did, the poolside paper, which was apparently very good.Vibhu [00:01:18]: Came out yesterday.Vibhu [00:01:19]: pretty interesting, right? Fully open. They talk about everything, systems. So it's a good one. We'll, we'll recommend people to read it.Swyx [00:01:25]: Bring us up to speed on your transition to xAI, ‘cause I actually don't even know when you joined. just like tell the, tell the story about the sort of transition.From NVIDIA Cosmos to xAI: Scaling Video and World ModelsEthan [00:01:34]: Before xAI, I was working on Kosmos world model as in-- at NVIDIA. So Kosmos is, it's a giant video foundation models that can-- that aims to simulate the world and for-- it serves as a foundation of-- for all of the roboticists to build on top of. There, once I built the Kosmos one, I realized as this thing also has a scaling law similar to language model, we need to scale up the video models further. that's, that's why I realized I need to move to somewhere with much more compute resources. That's how ISwyx [00:02:13]: Than NVIDIA?Vibhu [00:02:14]: The GPU rich came themselves.Vibhu [00:02:19]: And timeline-wise, when was Kosmo? It was pretty early, right? It was open world model, open paper, everything.Ethan [00:02:25]: It was end of twenty-four.Vibhu [00:02:28]: End of twenty-four.Ethan [00:02:30]: Then at mid twenty-five, I moved to xAI. At that time-- I joined about the time when xAI was about to build video models and in multi-model models. There were no infra, no data, and no model, and it just-- as a few engineers, we built it in three months and released the first model, Grok Imagine zero point nine.Ethan [00:02:55]: And since then, I keep working on video models and move more from training and to post-training of the video models. For example, like a reference to videos, kind of like the cameo feature and, video extensions. And, before I left, I worked on a world model, leading a small team to focus on the real-time long horizon video generation.Building Grok Imagine From Scratch in Three MonthsSwyx [00:03:24]: Can you give like a rough roadmap of okay, you're on a brand-new team. Grok previously was only text, or they partnered with BFL for their image gen stuff. What do you-- what are the building blocks, right? You have compute, data you can procure somewhere. Like just what are like the sequence of things that people should think about when you're setting up a new team?Vibhu [00:03:43]: actually even deeper, not just data you can procure. You guys had to go through getting the data too, right? So you shipped it pretty fast, but yeahSwyx [00:03:51]: three months is likeVibhu [00:03:52]: From everythingSwyx [00:03:52]: actually like very surprisingly fast.Ethan [00:03:55]: One thing I say like thanks to my experience at NVIDIA, ‘cause first time when we were building Kosmos together, we built it, for about a year. So this is like the second time I do it. Roughly have an idea, what to do. I say the most important thing is the talent. Everyone were very strong and clever, very close with each other towards a common goal. So that speed up things a lot. So you reduce the communication bandwidth among people, and everyone can work towards the same goal. It's, it's like every day there's not that much meetings on the calendar, like maybe like a, like a sync a day, and after that it's, it's just all building. It was pretty fun at that time.Ethan [00:04:47]: And another thing is that xAI has very strong foundations of like data inference, model inference, and the supporting there can help the model develop a lot. When I look at, training models, I don't so actually the top important thing is like how many, how many iterations can you do, per day? and the more iteration can you do, you can, you can train the model much faster. So if you have very strong infra and you have a lot of compute, you can, you can train these models in very short period of time. That can give you a much larger buffer to, for errors, and it also gives you the opportunity to spot more bugs.Iteration Speed, Compute, and Debugging Model PipelinesSwyx [00:05:46]: What is an iteration? Is it like a few hundred steps or what are youEthan [00:05:50]: Let's say just the train-training the model, like from acquire new data and maybe design new algorithms and train a new model, maybe at smaller scale orSwyx [00:06:01]: So cycle time for like any hyperparam that you're searching.Ethan [00:06:04]: Cycle time and tune to like eval this model. Is this model better than my previous iteration?Ethan [00:06:11]: SoSwyx [00:06:11]: So it's like before you, someone had already set this up that you can iterate very quickly.Ethan [00:06:15]: I think the foundation there is extremely good forDeveloping and research models.Ethan [00:06:23]: And often I find is it-- this is kind of boring, but like a lot of the improvements does not come from new algorithms. It comes from finding small bugs here and there in the data pipeline, in the, in the model training pipeline. Those give, those give the biggest boost to the model quality.Vibhu [00:06:46]: It's interesting, right? So you say it's like small team, less communication bandwidth, but also a lot of quality is like find little bugs. It seems counterintuitive, right? You have a lot of people, you can iron out more of those, but it's interesting to see the other side, right?Swyx [00:07:00]: I also wonder, have you-- do you try using LLMs to look for bugs? I don't know.Ethan [00:07:05]: I remember at that time it was mid two thousand and twenty-five, so it's the coding model wasn't quite there yet. I remem- I remember like December two thousand and twenty-five, it was extremely good. Yeah, I've been, I've been using it at that time. It's, it's helpful. sometimes it produce codes that are kind of difficult to maintain, even though like the first time it built something extremely fast. But it gave the, like a spaghetti code, thousands of lines that I couldn't maintain, and the LLM itself couldn't figure out what's, what's wrong and how to improve on top of it. But now I find it much better. Yeah, I want to bring up another point here is now coding models are much more efficient and can help us implement stuff much faster. Compute might become a bottleneck again because previously, like if you want to train a new model, say you want to generate new synthetic data and then or write a new algorithm, it might take a few weeks. And during that period of time, you don't-- you might not have experiments to run. But now you can build that thing within a few hours, then you can immediately train a model.Ethan [00:08:24]: Now you have to have enough compute to try all of the ideas. So compute might be the bottleneck of iterating speed again.Swyx [00:08:36]: yeah, I actually, honestly, I think it's like kind of a stressful job because you're “Well, I should be trying everything, and if I'm not, then I'm not doing my job well.”Vibhu [00:08:48]: there's also the stress of you're eating thousands of GPUs per hour, which is very expensive and, compute can go to other researchers.Swyx [00:08:56]: You got the daddy Elon toVibhu [00:08:57]: You got daddy Elon.Ethan [00:08:59]: It wasVibhu [00:09:00]: But there's still finite amount of compute, like you want to use it, you want to use it well, you want more of it.Ethan [00:09:06]: That was quite stressful indeed. Yeah, I think one thing is the-- with coding models now, like a lot of these jobs can be automated, which is much better. A second, it's a, it's a marathon, so you got to maintain good health and, a regular schedule.Vibhu [00:09:28]: It's, it's hard to hear that when you shift from zero to nothing in two months.Swyx [00:09:32]: and, I think obviously the culture at xAI is very famously, people work very hard. one thing I did want to dive into, in our-- in the notes that you, that you sent ahead of time, you had specific comments about the cost of Video Gen training. presumably this is on the Colossus-1, right? the two hundred megawatt cluster. Any whatever you want to just share on that.Vibhu [00:09:54]: I think there's, there's three things we're talking about, right? So there's Video Gen, there's also the Image Gen model that you put out. Do you want to like complete the, okay, so zero to one, you have a few months. Just what are the stages of create Image Gen model?Swyx [00:10:06]: Oh, yeah, maybe I got distracted.How Image and Video Models Are Trained: Synthetic Captions, Tokenizers, and VAEsVibhu [00:10:07]: Sorry. and then, from there's Video Gen, there's Audio Gen. Would love to get into those next. But what is that first few months like? So small team, a lot of bugs, iterations, but what does it look like? Do we take something off the shelf? Do we just get data compute? What's, what's the few months like? How do you go to state-art Image Gen model? How do you just start?Ethan [00:10:28]: I cannot comment specifically how xAI did, but it's, it's a quite standard process. I can draw some, examples from Cosmos. So mainly it's building a video model, you actually need to build a image model first. And building these two models, the data you need is a hundred percent synthetic pair of language and image or language to video. Because on the, on the internet, actually, the videos don't naturally associate with text. So you can say, oh, like on YouTube, you have the title and you have the description and the commentsSwyx [00:11:11]: TitleEthan [00:11:11]: of a video, but usually they're not relevant to the video itself. And say maybe like the video is a natural scene of mountains or something, and the title is, I'm so happy today.Ethan [00:11:26]: So they have they have no correlation at all. So the first step is to, you have to generate synthetic pair of language with the videos. So you gather videos from the internet, and you use a VLM to caption the videos. So that part, here's a question, like how do you, how do you gather VLM to begin with? So if there's noSwyx [00:11:55]: You, so you fuse the model, right? LikeEthan [00:11:57]: Say if there's no like VLM exists, like how do you generate the text to the beginning, right? It's, it's impossible.Swyx [00:12:04]: I see.Ethan [00:12:05]: In the beginning, it's like you ask human to describe the video as detailed as possible.For example, you ask them to describe everything, like all objects, all characters, and all interaction and dialogues in the, in the videos. So that's in the protocol of Cosmos labeling. We require the objective we give to the labelers was that you have to describe the video as detailed as possible, such that a blind person hears a blob of text can reconstruct what the video is like from their head.Swyx [00:12:43]: Video or image? You're talking about images.Ethan [00:12:44]: Video or image, either one of them.Vibhu [00:12:47]: This was pretty common when we went from clip and DALL-E, right?Vibhu [00:12:51]: It's all training on really detailed captioning of images. So same is applied to video, but insteadEthan [00:12:57]: same appliedVibhu [00:12:57]: of using multimodal model to pass in video images and write rich descriptions, you can alsoSwyx [00:13:04]: I think there's this traditional perspective of supervised, or, very highly human curated thing. I feel like there's a unlock with unsupervised, right? Where like you have enough to bootstrap that you can just throw common corpus on it or, whatever. like unsupervised vision and language pairing, right? Like where you just have, interspersed image and text and it just learns. To me, that is the VLM breakthrough that is different from the clip, different from the LM era.Ethan [00:13:36]: It's interesting to see that you kind of need both data.Ethan [00:13:41]: For example, for theSwyx [00:13:41]: You need it to bootstrap it up. YeahEthan [00:13:43]: for the generative model training, there's also usually like a small percentage of unlabeled data. So the model is instructed to generate a video without any text instruction. That can also help the model generalize. So after this stage of generative synthetic pair, so, one important common step is to train a compressor or a tokenizer of the image or videos. So because, if you train-- If you can technically, theoretically train image or video models on pure pixels, but the problem is that the, it's, it's a lot of tokens. So like one image, it's, a thousand by a thousand, it's like one million tokens, one million pixels. It's impossible to train transformer on that. So it's, you need to train a tokenizer, which can go from image to latent space and latent space back to image.Swyx [00:14:45]: That's why we named the podcast.Swyx [00:14:48]: But, basically, you're talking about vocabulary science.Ethan [00:14:50]: so vocab.Swyx [00:14:51]: And so, what is, what is imp-- like a million is impossible?Ethan [00:14:54]: In generative models, the vocab is continuous. It's a continuous space. We can think about like you map an image to a vector. It's a, it's a fixed length vector. It's sixteen or forty-eight, something like that. And then you map that vector back to the image space. And the mapping is, has-- The mapping is patch-based. So you say you haveEthan [00:15:22]: a sixteen by sixteen patch and you match, you map that patch of pixels into this latent space.Swyx [00:15:29]: We've covered thisVibhu [00:15:30]: This is like the vision transformersSwyx [00:15:32]: VAEs,Ethan [00:15:33]: VAEs.Vibhu [00:15:34]: You basically compress your input, you do your generation, you're reasoning all that generation in smaller dimension, and then you project back out.Swyx [00:15:43]: VAE is a form compression, but I think the for me, the patching thing is from VIT, right?Ethan [00:15:48]: You can make those.Swyx [00:15:49]: Literally the, yeah, the paper is titled like sixteen by sixteen is all you need. something like that. and then I think also, people make a lot of comparisons with this kind of patching with convolutions.Swyx [00:16:02]: Which is you're, you're kind of re- reconstructing the old paradigm with the new.Ethan [00:16:05]: Actually, in VAEs, there are, there are both convolution networks and transformers. You can actually do both.Ethan [00:16:14]: After this VAE, so what you've got is you've got latent space tokens and you've got the language tokens. So now the training of the diffusion transformer, usually generative models use diffusion transformers. It is actually quite standard. It's, it's very similar to how you train a language transformer models. It's not that much difference. It's just the tokens, the visual tokens in, visual tokens out. The only difference is there's a denoising process. So you train the model to unmask some of the noise. So you add, you add random noise to the visual tokens, and then you train the model to remove those noise to generate the clean tokens. Any inference, the model can iteratively remove noise from a hundred percent noise.Swyx [00:17:12]: And then there's also, to speed things along on the tech tree of diffusion, there's CFG, and then there's, there's also, latent diffusion that, there's, there's someone in there. I think, somewhere along the line, obviously, like stability and all these other guys, pioneered a lot of this, architecture. I don't know if you want to get into that or just, or do the video side up to you.Bootstrapping Video from Image Models and Temporal CompressionEthan [00:17:37]: After you train such model, such image model, the reason it's a, it's a foundation for video models is that image models are cheaper to train, and they have much denser connection between language and text. So, sorry, language and images. For example, you train a billion, you train on a billion images, and there's a mapping from the text to the image. And the cost to train the same, like the, a billion, a billion text to a billion videos, that's much more expensive because videosNaturally have more tokens than images. Because the diffusion models, their understanding of, language purely come from this mapping. So if you don't have enough mapping, so if you only train on like a ten million videos or something, there-- you might not see enough language tokens in your training, so your model does not understand human intention enough. So that's why you really-- you train-- you first train this image diffusion models, and then you bootstrap the video model from there.Swyx [00:18:53]: One thing I did want to ask, because I-- actually, I think you're, you're the first per-- video model person I've ever talked to, I think. we've, we've like talked to Luma and all those folks. There's all these tricks in video compression where basically frame by frame there's not that much difference, so actually you don't have to regenerate or save the whole frame, right? but I think MP4 compression or something else like that.Swyx [00:19:16]: is it tempting to use that? Or as far as I can tell, everyone just treats it as, “No, we would just generate every frame.” Is that roughly the state-art?Ethan [00:19:27]: There are a few different approaches. Let's say first, like you want to just directly use MP4 compression and use that as the tokens for the transformers to train, right? So people actually have tried that, but the main challenge is the latent space for the MP4 tokens were not, were not very comprehensible for the models. It's, it's extremely hard to train on that. And there's aEthan [00:20:01]: So that's why they created VAEs, which creates more continuous, latent space, so the models can understand that latent space and learn from it much easier. Even within the VAEs, there are different difficulties of the latent space. So you can imagine something the simplest, the most naive VAE is like you have an image, and you just shuffle all of the images into a, into a vector. So you don't need to train any VAEs, right? But that latent space is extremely hard for models to train on top of. That's why there are some debate on like how do you compress the tokens. So you mentioned like you can compress frame by frame. Also, you can compress, the temporal dimension.Ethan [00:20:52]: The difference is if you compress the temporal dimension, you get a much higher compression rate. Because there's temporal redundancy between frames, because, this frame and the last frame, likely they are mostly similar, so there's only some small difference. for example, I think in 12.1 VAE, they have like a eight by eight by four compression rate. So the four temporal tokens are compressed into one tokens. That can save a lot of, save a lot of the context length. If you do it frame by frame, you have to do maybe like eight by eight by one. Your context length will be four times larger. That being said, the benefit of the frame-- per frame compression, we might come back to this later, is, real-timeness and interactivity. ‘Cause if you, if you strain the output of the model, frame by frame, you can-- the model can respond to any user request immediately. So if you have like a temporal four compression, four times compression, thenSwyx [00:22:06]: It might be laggyEthan [00:22:07]: there's a lag there in nature.Swyx [00:22:10]: So you're very pilled on this. let's just go ahead and bring it up ‘cause we have the visual prepared anyway. There's some frontier applications of real-time video gen. So Flipbook is one of the examples that went viral recently, right? What is Flipbook?Real-Time Generative UI: Flipbook, Neural OS, and Diffusion Front EndsEthan [00:22:23]: Flipbook is kind of like a web brow- web browser. You can see like it has the web bro- browser UI on top. The difference is all of the UIs are generated by generative image model in real time, and anything here are fake. But you can, you can explore inside this wor- this imaginary world. Say like we-- here we have engineering the Great Pyramid. Like the model generates this for us to understand how it works, and if we want to navigate around and understand further, we can click on some of the, some of the description here, and the model will generate a new page, new subpage describing the details we want to know about.Swyx [00:23:14]: So it's basically kind of we're playing a video, but it's pausing for our next interaction, and then it just plays the next thing based on our interaction.Swyx [00:23:23]: Which is kind of cool.Vibhu [00:23:25]: and you kind of decide your story. So this was, how do you make a pyramid? levering technique seemed interesting, right? It shows how do you take Okay, I want to know what is thisSwyx [00:23:35]: The demo, the demo tweet had more animation between frames.Vibhu [00:23:38]: I think it's just skipping,Swyx [00:23:39]: Oh, it's just skipping a lot of frames.Ethan [00:23:40]: they also have a video modeVibhu [00:23:42]: It takes a lot. There's a lot of peopleEthan [00:23:42]: but, a lot of people are using it.Ethan [00:23:45]: So it's not available.Vibhu [00:23:46]: There's a live video stream. We can try,Swyx [00:23:50]: So this is an example of the kind of future that you see at the extreme. We don't-- we're obviously not in it today.Swyx [00:23:56]: But in a world where inference is completely free this is better than generating code and text?Ethan [00:24:02]: So this is, this is a final state of where Viva will be at for word model, I think. Imagine internet doesn't exist, and then you type in google.com. Like what should, what should, what should a model show you?the model can imagine something, and this is what the model imagine. And these web pages, they completely do not exist. So I think as the inference costs come down, we are going to have generative UI for everything. If you think about how the coding model works, so they write code for a web page, and they render the code might be con- converted into binary, and the binary render the pixels on the screen. So we in machine learning, every time we have some breakthrough, obviously it's, it's more intuit. So why don't we have like user instruction to the pixel directly? So the generative UI will be user intention to the pixels directly. And say like even if I want email, let's say everyone have the same interface, but I want, I want it slightly different. I want the email to show to me like a TikTok, so I can swipe left and right for the emails. And or maybe you want something else. We can have completely different things. Or like I have I'm looking at, Instagram stories, and I don't like the Like button. I always may click it. And, generative UI resolved it. So it's going to be a revolutionary replacement of the interface. So in the future, we might have much more powerfulEthan [00:25:50]: LLMs and coding models running behind the scene. And in the, in the front-end, the diffusion model will actually be the front-end to show stuff to you. That's how I imagine it.Swyx [00:26:02]: Diffusion front-end, deterministic back-end.Swyx [00:26:04]: Something like that. I find that very expensive, but,Vibhu [00:26:08]: I find it interesting you called LLMs writing code on the back end deterministic, but okay.Swyx [00:26:14]: you write it onceVibhu [00:26:15]: Compare it toSwyx [00:26:16]: And then you execute.Ethan [00:26:17]: If you think about the cost, say, let's say H100 costs $1 per hour, and if you use this eight hours a day and thirty days, so, every month you're paying this two forty, you'll actually not wanna pay for that. That's even more expensive than Cloud Code Max. But if you think about the compute costs come down like two times every year, and I think the future will likely arrive like within few years.Vibhu [00:26:49]: It's everything, right? compute cost comes down, compute gets faster, model gets smarterEthan [00:26:54]: More efficientVibhu [00:26:54]: model gets smaller.Swyx [00:26:55]: I don't know why you say two times, ‘cause I think it's like 100 times. In language models, it is roughly one hundred to a thousand times every twelve to eighteen months, for the same given level of LMSys, ELO.Vibhu [00:27:08]: That's a net of everything, right? That's model performance alongside compute. So different than just compute costs come down. But, a very interesting future.Swyx [00:27:19]: So the web designers will have to shout out that accessibility is an issue, right? how do you deal with screen readers or whatever. But yes, this is higher bandwidth storytelling than anything you can possibly generate with code, right? So I think that's the rough idea.Ethan [00:27:34]: And I'd like to add a little bit that so human naturally have the maximum bandwidth when we are looking at things, look at videos, and we also have maximum output bandwidth when we are talking. So in the future, it might be something like we talk to AI models, and the AI model responds back with a generative UI. So that would be the maximum input and output bandwidth to interact with AI models before neural link happens.Vibhu [00:28:06]: And it's also very custom, right? Some people are very visual, some people are not as visual, right? They prefer the text. But the best thing about generative UI, right, it can also be text.Swyx [00:28:17]: There's another project that we wanted to highlight, which is the Neural OS. Kinda similar idea, but here you're literally operating, simulating an operating system with a video model.Swyx [00:28:27]: and you can play Doom, you can do Firefox. I find this like mildly less impressive, obviously, because it's an OS that I can run.Swyx [00:28:37]: But here everything is imagined.Vibhu [00:28:40]: I was, used to the Command+W to close the Firefox tab. It didn't crash. That's why I saidSwyx [00:28:45]: It's too immersive.Vibhu [00:28:46]: It's, it's too immersive for me.Swyx [00:28:47]: Too immersive.Vibhu [00:28:48]: I wanted to close the tab.Vibhu [00:28:49]: But yes, I can play generated diffusion.Swyx [00:28:51]: this is shockingly fast.Swyx [00:28:54]: Because I remember there was a demo about like maybe one to two years ago. Someone tried to do the first-person shooter with a image model. There was no consistency. It was very slow. But here it looks like realistically it's-- this is Doom.Vibhu [00:29:07]: I think there's two sides to that, right? There's okay, what is running a game? The heavy part of it is actually the game engine, all the lighting, all that stuff, the graphics. This is just kind of video, right? Like we've solved consistency. This is still, it looks like a few years old image generation. There's some temporal consistency, but it's, it's kind of just images stitched together as frame video. But it's a good visual representation to pi- to picture the future you wanna see, right? that's, that's what I see in these more so.Ethan [00:29:38]: This reminds me of how the video models gets better and better. So Neural OS is kinda if you just look at it feels like it's just a crappy version of the, like the Windows we could have, right? And, but the difference is, so the model, this model is overfitted on the existing operating systems. It can generate nothing different than that. But it's actually also similar to video models. So when we are training these video model, image model, we train them on internet. There's no imaginary supernatural stuff on the internet. But once we train this model, you can prompt the model to generate something supernatural that have never existed in the data set. So if you train your Neural OS or neural computer on the standard screen recordings on the entire internet. The model can imagine completely new interface to interact with the computer.Swyx [00:30:43]: This is one of those things that is magical to me. usually generalizing out of distribution is bad, but somehow we have learned some kind of internal world model that you say, this plus, but it looks like rainbows and butterflies, it'll do it and it will kind of make sense.Swyx [00:31:03]: So yeah, that's kind of cool. Yeah, I don't know if there's any comment more on there. I do, I do wanted to, I did wanted to touch a little bit more on the model architecture stuff, which I think you were getting. It's, really fascinating. We don't get a chance to talk about this enough. So one of the papers that we covered, we've covered every annual, segment anything release. and I don't know if you follow-- you're a computer vision guy, so youEthan [00:31:26]: I knowSwyx [00:31:27]: . So they did memory attention, which is kind of interesting. And I always think, anything where you can, across the temporal dimension, keep some consistency, I think it's, very fascinating, and I don't know if Basically, does that-- the CV side bleeding into video gen side, I think is underexplored, right? we talk about it for labeling, but actually you can borrow the architecture itself.Ethan [00:31:50]: There's, there's also complete different approaches, right? you brought up the term world model, so we went from video model to world model. There is diffusion, but there's also other approaches that people are doing. So maybe we get into those after as well,?Swyx [00:32:03]: He has a whole definition of world models and stuff. I feel like we threw a lot at you. Whatever you want to comment on.Why Video Models Are Expensive: Storage, I/O, and Training ScaleEthan [00:32:10]: I think one thing that we should actually comment back on is okay, so we were talking about the steps to train image gen to video model. One thing we don't see as much of is okay, you brought up the delta in training data, right? SoEthan [00:32:24]: you won't have as much a video model might not generalize, but what is the cost of training a large video model? So we know for LLMs roughly, okay, even like the poolside thing that came out today, right? It's a Gemma level model trained on roughly forty trillion tokens at this many H200s over this much time, right? You can see what is the exact cost of that. So how many GPU hours over how much H200 costs? So how do we do the back-end math of, same thing for video models, image models. How do you, how do you kind of break that down? I can share some back-envelope calculation. So surprisingly, video models is-- the cost is very-- is comparable to language models and obviously the largest scale is language model, maybe like a medium scale to language models. I said just storing the videos alone, it costs a lot. You can, you can maybe look up on AWS or something.Ethan [00:33:20]: You really, say if you have a billion videos and let's say, let's just say like each video, like five megabyte, then you need five petabyte to just store those videos. And also remember we talk about you use a VAE to compress the videos, and you also need to store, typically you need to store those continuous feature, in-- also in your storage. That's also comparable size with the videos themselves. So just storing these videos and the features is tens of petabytes alone. And,Swyx [00:33:58]: I just, I just looked up the calculation. Five petabytes on S3 Standard is one hundred K per month.Ethan [00:34:05]: AndSwyx [00:34:05]: It's comparableEthan [00:34:05]: and you needSwyx [00:34:06]: AndEthan [00:34:06]: And then like tens of petabytes, two hundred K. And even more expensive is you have the ingress and egress.Swyx [00:34:13]: Oh, yeah.Ethan [00:34:14]: Like you-- through the internet. You have to just to download those videos, I believe it's, it's more expensive on AWS than just storing those videos.Swyx [00:34:25]: Storing, yeah.Ethan [00:34:25]: And each training runs, you probably need to pull them once. If you train multiple times, it's, it's even more than that. So it's like just storing the network, those costs is just, it would be a few, a few millions per month to just storing everything, not to mention the GPU cost.Ethan [00:34:45]: AndSwyx [00:34:45]: my side tangent, the compute rental, like GPU rental is very efficient. There's one side, okay, you can be XAI and build your data center. Should we not just build our, storage compute as well? LikeEthan [00:34:57]: Of courseSwyx [00:34:57]: cloud cost compared to just,Ethan [00:34:59]: You save so muchSwyx [00:35:00]: store. Yeah, exactly.Swyx [00:35:01]: Especially with like egress and stuff. So.Ethan [00:35:04]: That's a good idea, but it also comes to-- there are some of its own challenges.Swyx [00:35:09]: Of course, of course.Ethan [00:35:10]: like people who build the GPU data centers, they might not expect this much, storage. And yeah, people build storage, typically they just build it somewhere with just CPUs.Swyx [00:35:23]: I just looked it up. Five-- AWS only charges for egress, not ingress. Tier five for five petabytes is two hundred and thirty K.Ethan [00:35:32]: Even more expensive than the storage.Swyx [00:35:34]: But storing is per month, right? You check in, then you cannot check out. so it's so cool. It's okay. So there's that side.Ethan [00:35:41]: So the TLDR, my backhand mathSwyx [00:35:42]: Data is larger than you think. Yes.Ethan [00:35:44]: my backhand math of GPU hours times GPU cost is also very much, I'm missing some storage.Swyx [00:35:49]: You're also-- you're basically like also more IO bound than normal training.Swyx [00:35:55]: Yes. ‘Cause like data loading, so caching everything, it becomes super important.Ethan [00:36:00]: So in Cosmos, we did a lot of optimizations to make it not IO bound. So, speaking of the training, actually training the model, the GPU cost, if you look up like the open source model, how big these video models are, I think like LTX has nineteen B parameters. That's a dense model. And people are also exploring, MoEs, so it might be twenty B active and, like a hun- hundreds B, total. So that's, that's even-- that's similar size as medium-sized LLM models. And if you, if you look at number of tokens-Uh, we disclose that in Cosmos. It's also like tens of trillions of tokens on the visual tokens. So putting this together, the cost of, training these video models, it's actually comparable with LLMs. Not to mention, the infra is slightly different from LLM, so it might be less efficient to train these models.Inference Speedups: Step Distillation, Consistency Models, and GANsSwyx [00:37:04]: Do you get the benefits of traditional diffusion speed-up? So for, images, there's LCM, LoRAs for, fine-tuning. There's, there's a lot of stuff that's beenEthan [00:37:15]: Flow matching.Swyx [00:37:16]: there's flow matching. There's a lot of stuff that's been done. there's some overlap that applies to diffusion on the inference side and stuff or?Ethan [00:37:23]: so the difference-- the inference side is a completely different story.Ethan [00:37:28]: I think for the training side, it might be a little bit hard to reduce that cost. And for the inference side, the biggest gain is from the distillation of these models. You can-- It's called step distillation, slightly different from knowledge distillation in LLMs. So you-- Typically, for flow matching models, you need like 100 steps or something. Like a distortion model even need even more, like 1,000 steps to generate a good image or video. A step distillation is try to learn to generate fewer step from the model itself. It's kind of like now we-- you use the full model to generate in 100 steps, and then you take a model that only generate 10 steps and let that model to learn from the perfect one.Ethan [00:38:25]: why this workSwyx [00:38:27]: Strong to weak seemingly.Ethan [00:38:28]: It is. It's kind ofSwyx [00:38:29]: DistillationEthan [00:38:29]: kind of like strong to weak. the-- from the modeling perspective, the strong model, the teacher model is trying to model the image and videos of inter-internet, and that distribution is extremely complex. But the step distilled model is just trying to learn from the teacher. The teacher is a model, and the size is fixed, as the distribution is much simpler than the whole internet. That's the intuition I have why step distillation can work. So usually these models serve in productions, they only run in a few steps. In Cosmos, I believe we have, we have like four step and eight steps. If you do some simpler task, image-image translation, it can even run in fewer step, like one step in Cosmos Transfer.Swyx [00:39:22]: I think this is the same intuition that guides a lot of the consistency model work. I sent you a link for, SCM. I don't know if you covered that. To me, that was actually one of, the most impressive papers I've ever seen from OpenAI.Swyx [00:39:34]: That this is the unifying grand concept of consistency models. I don't know if you have any comments on this.Ethan [00:39:41]: So there are, there are a few different approaches,Swyx [00:39:46]: Oh, yeah. Here it is.Swyx [00:39:47]: Two steps versus twenty or 100 steps, whatever. It's already done.Ethan [00:39:52]: So there are, there are a few different approaches, for example, consistency model, and there are also Actually, we shouldn't forget GAN. So GAN, actually, that was, that was the OG ofSwyx [00:40:05]: OGEthan [00:40:05]: step distillation ‘cause it trained just one step to begin with. So actually, a lot of, uh-- For example, there's a distribution matching distillation which use, which uses GAN, as one of the laws for distillation. It-- GAN just tells you, “Hey, generate an image,” and thenEthan [00:40:31]: it has a discriminator to tell, is this image real or not? So the model, the model just need to learn one of the distribution, not the full distribution. Because in training, the model is asked to reconstruct the ground truth image from the internet, which is extremely hard. And in-- When you're training GAN, it's a step process. It's just a, “Hey, you generate image. Does this image look as real as the image from the internet?” Which is a much simpler task. And, yeah, combining a lot of these approaches together, people typically do that, like consistency model and distribution matching and GAN, and we can get these few step models.Audio-Video Generation and Time AlignmentSwyx [00:41:21]: Then there's one step I wanted to add, which is audio and video.Ethan [00:41:26]: So, Grok Imagine zero point nine, I believe it's, it's a first audio video transmodel deployed at a large scale. SoSwyx [00:41:39]: And that was your first model?Ethan [00:41:40]: that was, Grok Imagine's first model. It's, it's audio video, joint generation. I think the hard part is, the modality alignment, ‘cause before this transmodel, we have, we have text to video alignment. We have this, correspondence between text and video. Typically, most of the VLMs, they understand images and videos. Video's very rare, and they don't understand audio mostly. And if you look at the audio generation on the LLM side, you can talk to them perfectly fine, but if you ask them to sing a song or something, it typically is not very good. Also, they don't have, they don't have music either. The hard part is thatUh, actually audio has two component. It has like a discrete component, a continuous component. The discrete component is like the language.Ethan [00:42:44]: So when we speak, it's just, someSwyx [00:42:47]: It's an ASR issue, yeah.Ethan [00:42:49]: It's, it's text token with some characteristics, I would say.Ethan [00:42:54]: But musicSwyx [00:42:56]: I think the speech guys would disagree with this.Swyx [00:42:57]: Like disfluencies and then,Vibhu [00:43:00]: There's tones you can get angry.Ethan [00:43:01]: Well, I say largely.Ethan [00:43:03]: the mu- but the music is completely different. It's, it's very continuous, and you cannot model them like discrete tokens in language models. this is like the hard part for models is, not to mention we have to align text, video, and audio together.Ethan [00:43:26]: SoVibhu [00:43:26]: How?Ethan [00:43:28]: So significant-- some significant challenges are like-- So first, like we talk about as the VLMs, they cannot understand most of them cannot understand audio.Ethan [00:43:39]: So you have to have some way to do the synthetic data generation for audio. You have to caption the model, and that involve, that involve synthetic data and human data effort a lot. And not just surprisingly, most of the LLMs are very bad at recognizing, like the beat, tone, and the details of the of music. They can, they can give some general prediction of which song is this, but it's very hard to describe the details of the music. like we mentioned in image generation, like you have to describe image as detailed as possible so that someone blind can reconstruct that. So here is like someoneVibhu [00:44:32]: DeafEthan [00:44:32]: someone deaf can reconstruct how the music sounds like without actually listening to it. Maybe you can think of it need to have the-- or they call the script.Vibhu [00:44:49]: Subtitles, yeah.Ethan [00:44:49]: You gotta have all the details of the music, and the dialogue.Vibhu [00:44:55]: So is the challenge there typically stuff like music and audio, or is it just Like is there a baseline? Okay, there's enough data where we can understand, narration, conversation, but there's nuances in audio that's where you hit all the data issues or is it just from stage zero, you just do it all right?Ethan [00:45:15]: So one important thing is like the alignment. So the model, the model has to know like the video and audio, the, uh-- it has to have a time-based alignment, like at which time step the video and the audio token correspond to each other. But we actually don't have this kind of alignment for most of the other modalities. If you think about like text and image, text and video, they are loosely aligned. So you can, you can have a description of what's going on in the video, but you don't have to exactly, You typically don't have exact description, oh, at, time step one second like what happened?Vibhu [00:46:02]: It's veryEthan [00:46:03]: At time step two second what happenedVibhu [00:46:03]: coarse. Yeah.Swyx [00:46:05]: So what was the ideal time step? You have to oblate it, and then it's like four seconds or something.Ethan [00:46:09]: So that comes down to how you design the model to, for the model to be aware of as a time, as a time modality. So the model is like a time aware. And that's something pretty unique if you think about LLMs. So if you ask LLM to complete a task, say they, uh-- you ask them and they will say, “Oh, this task will probably take twelve hours to complete,” and they come back in one hour. Say “I've already spent two days on this and I've exhausted everything.”Ethan [00:46:47]: So the LLMs them-themselves, they don't have a sense of time there.Vibhu [00:46:53]: I actually don't think that's just them not having a sense of time. I think it's somewhat based, right?Vibhu [00:46:58]: Like you tell someone, “Okay, go work on this feature. Go implement this,” there's a general understanding you would have of how long that would take without LLMs working at LLM speed, right? So you think back like two years ago, if I tell you to like build me like a new front end for latent space, have a search bar, have all this, you'll estimate that it'll take a few days, right?Vibhu [00:47:19]: So you tell an LLM, “Go build this.” It'll take me a few days. But I think it's somewhat grounded as opposed to them not having the best-- Not saying that they have a great understanding, but I think that example is like you can see where it comes from, right? You're trained on all over the text.Swyx [00:47:35]: They're, they're trying to estimate what a human would say.Vibhu [00:47:37]: because that's what the, that's what the data kind of represents. It's not themEthan [00:47:41]: It came from the corpus on the internet. People have a estimate of how much time.Vibhu [00:47:45]: And not even just in direct like training samples, right? Just your world understanding of tokens of how long stuff takes, right? Go read a book. It'll take you a while, right?Vibhu [00:47:56]: Even if you do nothing but read a book, it takes a few days. So yeah, LLM, I read it took me a few hours.Vibhu [00:48:01]: It'll take me a few hours to go through this research. But this is a tangent.Swyx [00:48:05]: Somewhat, yeah.Swyx [00:48:06]: This is a train of thought I haven't really expressed until now is, which is basically like a full world model must also be recursive, meaning that the participant in the world model must also be aware that they have a world model. which is like this whole recursive thing down the, down the line. but yes, and that the world model can be wrong and that they need to update it and blah. Yeah. We've, argued this on the, newsletter as well, that there needs to be sort of recursive or adversarial world models.World Models: Real-Time, Long-Horizon, Interactive VideoVibhu [00:48:34]: just, to ask, how do you define world model?Swyx [00:48:38]: Oh, yeah, let's go there.Ethan [00:48:40]: SoVibhu [00:48:40]: So just for context, we talked about, video generation, and then there's a-- if you say there's a distinction between world models, what's your, what's your definition? How do you see the two?Ethan [00:48:53]: So disclaimer, I'm not going to debate, what is world model. Yeah. there are many definitions, so I'll just talk about my definition. Since I came from the multi-model, multi-model domain, so mainly talking from video. So world model is like real-time interactive long horizon videos. So there are three parts. so we-- let's talk about them one by one. So the so interaction, so we just, we just look at Facebook and neural computer. So the interaction part of it, so you, world model can allow you to interact with them through keyboard, mouse, and maybe also voice. So these all is-- all is a modality. You can, you can interact with the model, and the model should respond reasonably. Second part is real time. So once you, once, say, you move your mouse, if, say, the world model generate a game, how fast can the game respond? So if you're like professional CS: GO players- -my say, oh, you have to respond- He's beginner within sub ten milliseconds or- Yeah even less. So that's not most of the- No, sixty FPS. Let's go. Oh, three hundred FPS. Oh, five hundred FPS. Wait. okay, yeah. I didn't do the math, but yeah, okay. Uh- Yeah, three hundred FPS, that's a three millisecond. So you have to respond- Oh, s**t. Okay. YeahEthan [00:50:29]: within a millisecond. Most of the video models cannot do that. Yeah. And, but if you, say, if you have a video model that is, say, like a digital human, the response time might be more generous. Maybe typically, for real-time voice interaction, it's like two hundred millisecond. So that's, that's much more generous. But even two hundred millisecond is pretty, it is pretty tricky, ‘cause remember we mentionedEthan [00:51:01]: you have this, temporal compression coming from the VAE. So if you, if you don't compress the temporal dimension, your sequence length is going to explode. So if you want to have this real-time, real-timeness in your model, you have to do is one context problem. And the third part is long horizon, ‘cause we-- if you're not going to just play with, video games just, a few seconds, most video models only a few seconds. We're going to play with minutes, hours. The model have to be able to generate long-form content.Ethan [00:51:42]: So putting these three together, it's, real-time, long horizon interactive videos. I think the final state will be, for example, like a video, a video version of Playbook, where you can, you can interact with, a neural computer. You move your mouse, and you click on the generative interface, and it will reply to you through pixels- generating in real time. But getting there, it's, it's a very long way to get there. So one of the first step, at Grok Imagine, where I led a small world model team there, was to build video extension. So, video extension- it's the first step of interactivity. Yeah. It's, it's the first step. Yeah. So it's the first step- You have it here, video editing, yeah. Yeah. Yeah. So the first step is because, this unlocks long horizon videos. Typically, for most of the video generation models, you give it a prompt or an image as an initial frame. You generate video, that's it. That's just, one time, done. And some creators would try to, use the last frame as a first frame for the second video. It can-- sometimes it works, but if you do it a few times, it says the quality would decrease. And- It doesn't have that context- Yeah over the full video, so the temporal- Yeah, exactly. Yeah, ‘cause you only gave it the last frame, of course, right? Yeah. Exactly. And- it's actually a pretty fun hack. if you've seen like- Oh, no, he's saying something better. Yeah. And for example, like Vue, I remember Vue 3 has like a second context of the last video. It is slightly better than using the last frame, but it has the same problem-- similar problem that it, the quality would decrease. if you extend a few times to, one minute, the video quality would look much worse than the first video. Second, another problem is that the model doesn't have long-range knowledge of, what's happening before. Say, if they generate some dialogue, some, two people speaking, and their voice might change, over some time, especially if the second conditioning, it does not cover the previous context. So these are the core challenges. So the Grok Imagine video extension, it has historical context of all of the previous generated videos. It can, It has, it has the context of, who is speaking and what objects have appeared and everything, having that to generate the next video. So if we naively do this, you can imagine, just, put all of the previous history video tokens into the context. The context lens will easily explode. Especially for video models, that can be like a few, a few million context, I would imagine- context lens. Yes.Yeah.Swyx [00:54:58]: Let's run with that.Ethan [00:54:59]: for example, like in Cosmos, I think just five seconds of video is like a fifty K or sixty K number of tokens. So like if you do, if you do fifty second, that's a five hundred K tokens. If you do longer than that, easily explode. This long horizon, problem was the first step we're trying to solve world model. It turns out people, yeah, people love video extension. Like a lot, a lot of the creators love using video extension to create longer form videos. This is the part I liked that you have a, you have an intermediate step toward the final goal instead of just a straight shot to the final version very much.Swyx [00:55:48]: But I can see you have a strong vision of where we want to end up.Long Context, Redundancy, and Efficient Interactive VideoVibhu [00:55:51]: Does it seem like it's an efficiency issue? okay, we're at a few million tokens context,. If you draw the parallel to language models, we had very short context, two thousand, eight thousand, then, you scale it up one million, ten million. sure, there's effective context, but at the end of the day, it's just what's it worth? sure, there's a whole training data side. In video, it might be slightly easier ‘cause we have a hundred million token video, right? Just take a movie with the full context there. Like is this efficiency from an inference standpoint that like it's expensive, but we know how to solve it? Or like why is this not the approach? So like my broader point was on your second point of world models, you say it needs to be interactive and live, right? You should be able to play a game and see the interaction live. So one thing I see with research is a lot of what you actually serve is different than what you build, right? So we talked about distillation. You train big model, you distill it, you do quantization, speculative decoding. We do all this stuff to serve it efficiently. Should we not just have a solution, like a world model that can interact well, do inference optimization, serve it, distill it secondary, so make it real time after you solve it? So like a-- another parallel is say, continual learning, right? What we need is someone to solve it and show it works inefficiently. Give it a few years, people will make it efficient. Same thing with regular attention, right? It worked. Over a few years, people have different forms of attention, and we've scaled it to be efficient at log context,? So kind of two things there, right? One is it seems like it works. You've scaled it. Can we not just scale it a lot more efficiently over time? Do we need a separate approach if this works? And same thing with interaction, right? if we can get it done, like if we can solve some way that it works, we can solve making it more efficient from an inference standpoint later.Ethan [00:57:53]: that's actually a very good point. So in videos, there's actually a lot of redundancies. So we solve a lot of the pixel redundancy from VE, but there's more redundancy in long range and long horizon videos. Say, if a character appear in the first clip and then it disappeared, it only reappear at the end of the video, you probably don't need the-- the context, like in the middle of the generation. So you only need that character, where you need. So that's why, I helped build another feature. It's a reference video.Vibhu [00:58:36]: Is it here?Swyx [00:58:36]: is it the same model release or different one?Ethan [00:58:39]: It's a different one.Ethan [00:58:41]: You probably need to search onSwyx [00:58:43]: I'll find itEthan [00:58:43]: X reference to video.Ethan [00:58:46]: So reference video allow you to like upload up to seven images as condition and generate the video. Say, if like I want-- it can, it can be characters or objects or even scenes. Say like I want, I want condition on, Sean's selfie and holding a bladeSwyx [00:59:07]: We have a dogEthan [00:59:08]: or whatever.Swyx [00:59:08]: We put the dog in the thing.Ethan [00:59:09]: you can put them there and the video models will generate the video from and copies the context over. So that can solve a lot of the problems there, like the long context problem. It doesn't need to have a very long context, but it's-- I feel like it's an intermediate solution. The modelSwyx [00:59:29]: It's cheating.Ethan [00:59:30]: the model should be able to like selectively know, where should I draw the references. So say if I want to generate a movie, I generate it autoregressive, like a ten second at a time or something. And now this character appear, I can look back to where it first appear and, bring that back. Yeah, this one, I put the references. Yeah, that's, Optimus, Einstein myself, Annie.Vibhu [01:00:02]: Oddly enough, I used Grok Search to find it, and it pulled your LinkedIn post. But yeah we found it.Ethan [01:00:08]: Interesting.Vibhu [01:00:10]: ButxAI's Underrated Work, Culture, and WatermarkingSwyx [01:00:11]: this is a problem. This is not your fault, but like XAI doesn't communicate all this work that you do very well because they just have the model release and then that's it. But actually, these details are very good.Swyx [01:00:22]: As far as I understand, everything you just described is state-art, like no one else has done it.Vibhu [01:00:30]: A lot of-- yeah, I have a lot moreSwyx [01:00:32]: And then, and then you just put this blog post with the cookies. I'm this is not enough,?Swyx [01:00:37]: but I, obviously this is like the high level numbers that people want to know. But no, okay, soVibhu [01:00:42]: And I wonder, like part of that is also some labs don't share research into what happens. And ifSwyx [01:00:50]: No, but this is literally bragging about how good they are, right?Swyx [01:00:54]: Like, why would you not say that you are capable of extending with full context? this is not a secret sauce. This is like we did the work. yeah, I don't know.Ethan [01:01:02]: different labs have slightly different communication styles.Swyx [01:01:07]: Anyway, if anyone from XAI is listening we are always happy to help you tell your story. Yeah, okay, so you did references, and I think, I think kind of the point you're, you're making is it is sort of like a kludge, right? this is-- you can do seven, but what about 100?Swyx [01:01:23]: Right? Then you need a completely different thing.Ethan [01:01:26]: So I think it's-- this is, a mechanism to, select the context from the history, and you might not put the entire history into the context. for example, there's a paper called Frame Pack, which haveEthan [01:01:41]: a heuristic that the latest history, the last one second, I put the entire history, and the history before that, I would, compress it and makes the video smaller. So they follow this pattern, this build overall pattern that the maximum sequence length is fixed. So the further you are from the current frame, you have a smaller image. So this is just a heuristic. I think it can be more automatic. The model is aware like which history part of it can be select. So this part of the research is actually being actively, worked on by a lot of people. It's also quite interesting. I feel this is actually, this part of long context is a little bit ahead of the LLM part.Ethan [01:02:31]: So for example, like in LLMs, if you-- so contexts keep growing. Let's say if you call tool and the tool call history is extremely long, that's still in context, and keep growing, keep growing. Even if you switch the topic to something else, the whole context was there. There are some agentic harnesses that help you to, say, prune the tool results and, prune Like when you, when you query a file, only show like the top 200 lines or something. Those were very heuristic-driven.Swyx [01:03:08]: For listeners, we did a write-up on the cloud code, leak where there are eight different kinds of pruning, including like you prune the tool results and all that. So you can, you can read up on that kind of thing.Ethan [01:03:17]: I think, one breakthrough in continual learning might be like a way to automatically, manage its own context.Swyx [01:03:27]: These are all heuristics, and they will be replaced by machine learning.Ethan [01:03:30]: InterestinglyVibhu [01:03:32]: TheEthan [01:03:32]: the same thing is being researched in both LLMs and video models.Vibhu [01:03:36]: The interesting thing is also like in the paper you showed, it's actually happening at the model level, right? Compared to like language models, sure, we have base attention, but we'll do our own compression, we'll do our own pruning, which is separate from model error.Vibhu [01:03:49]: Eventually, it all just boils in, hopefully.Swyx [01:03:52]: I think this is a form of like attention, but like also know sort of reasoning attention. I feel like that's different than normal attention.Swyx [01:04:03]: Does that, does that make sense?Ethan [01:04:04]: It's, it's different in the sense that attention, not to mention, set sparse attention aside,
Thank you for tuning in to Episode 321 of the Down Cellar Studio Podcast. Full show notes with photos can be found on my website. This week's segments included: Off the Needles, Hook or Bobbins On the Needles, Hook or Bobbins From the Armchair In my Travels KAL News Contest, News & Notes Life in Focus On a Happy Note Quote of the Week Off the Needles, Hook or Bobbins Inclinations Cowl Inclinations Cowl by Andrea Mowry ($7.00 Knitting Pattern available on Ravelry & her website. Needles: US 2 (2.75 mm) Yarn: 2 skeins of handspun Color A: Fiber Addict Designs 100% Merino in the Wild Plum Colorway- Ravelry link. Color B: Candombe, I think the fiber is from Malabrigo- Ravelry link. My Ravelry Project Page Sunday Brunch Socks Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Yarn: Woolens & Nosh Targhee Sock in the Sunday Brunch at the Breakfast Club colorway; club colorway Ravelry Project Page About the yarn: mini skein in a medium denim blue. Self striping- tan, navy, mustard, pink, coffee w/ milk brown. On the Needles, Hook or Bobbins Pucker Brush Farm BFL Sweater Spin Fiber: 16 oz of multi colored BFL roving from Pucker Brush Farm (purchased at Rhinebeck 2025), 4 oz Merino in a mustard color & 20 ounces of Grey Shetland from Forever in Fiber on Etsy Ravelry Project Page I am planning to knit a Traveler sweater inspired by Emily Curtis' handmade version- click here for her Ravelry Project Page. I was thrilled to see a recent post on Emily's Instagram that she made a YouTube video about this spin/knit. Plied 5 bobbins over Memorial Day weekend. and have since finished and washed 5 skeins of yarn! If my math is right, I have 224g of fiber and 352 yards. Jelly Roll Blanket Pattern: Crocheted Jelly Roll Blanket by Kay F Jones ($6.70 US on Ravelry) Hook: H (5.0 mm) Yarn: Legacy Fiber Artz Steel Toes Mini Skeins + other minis from stash Ravelry Project Page I was inspired by KnitwithNat's blanket- check it out on Instagram. Progress: I finished my 7th strip Midnight Orchid Socks Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Yarn: Patons Kroy Stripes in the Midnight Orchid colorway Ravelry Project Page About the yarn: skinny stripes of cream with contrast colors- greens, ochre and mauvy purples. Progress: First sock is finished. The second is just beyond the heel. Merry Christmas Kevin Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Yarn: Legacy Fiber Artz, Steel Toes in the Merry Christmas, Kevin colorway Ravelry Project Page Progress: finished first sock. Finished cuff of second in Portland. No specific rush on these so they're just hanging out in my purse Goldwing Sweater Pattern: Goldwing by Jennifer Steingass ($8 knitting pattern available on Ravelry) Needles: US 6 (4.0mm) for body and US 5 (3.75 mm) for rolled neck Yarn: Valley Superwash DK in Sand (MC) and handspun from Wound Up Fiber Arts for CC (Ravelry page for handspun details) Ravelry Project Page Handspun is all different yellows, mustards, peach, pink orange, rusts. Progress: I'm working on the colorwork yoke From the Armchair The Great Alone by Kristin Hannah. Amazon Affiliate Link. Famesick by Lena Dunham. Amazon Affiliate Link. Into the Blue by Emma Brodie. Amazon Affiliate Link. Musical: Something Rotten playing at the Lyric Stage, Boston through June 7, 2026 Note: Some links are listed as Amazon Affiliate Links. If you click those, please know that I am an Amazon Associate and I earn money from qualifying purchases. In My Travels Dan and I spent a weekend in Portland, MA Yarn stores visited: The Purling Pigeon, Knit Wit Yarn Shop, Port Fiber Coffee: Buzz Coffee Breweries: Rising Tide Brewing, Batson River Brewing & Distillery, Orange Bike Brewing (Gluten Free), Apres (seltzers!), Lone Pine Brewing Restaurant: Isa Bistro KAL News Splash Pad Party '26 Details Event runs 5/22-7/31 Splash Pad Party Registration is open View Stats and/or Verify Registration here. Check out our Sponsor List Splash Pad '26 Official Rules Enter your FOs using the Summer Celebration Form. Then come over to this Ravelry Thread to share pics and let us ooh and ahh with you! Submit something incorrectly? Need help? Fill out this Support Form & we'll be in touch. Find official SPP'26 images you can use on social media in this Google folder. Splash Pad RAVELRY Links Start Here Thread Pro Shop Exclusive Items Thread Coupon Codes Thread Questions Thread Contest, News & Notes I was so sad to hear of Gigi Knitmore's passing. Sending so much love and support to their whole family. Haven't listened? Check out the Knitmore Girls Podcast back catalog. On a Happy Note We had Gabriella and Zach for another sleepover and it was a blast! We all enjoyed seeing Hattie in Seussical. Dad, Jeff and I all went to one of Garret's last lacrosse games of the year. Normal Mammogram! Reminder to get checked if you're due for this or any other health screening. Anniversary weekend in Portland with Dan Jury Duty Presents- Company Retreat (on Prime). Patreon Zoom- always love hanging out with you. Getting salads back in the rotation + watermelon! All of the Splash Pad Mojo! My fav Two Strangers (Carry a Cake Across New York) musical got picked up for a national tour. It starts in Providence in fall of 2027! They also got nominated for 8 Tony's! I'm so excited for them. Quote of the Week An artist is a sort of emotional or spiritual historian. His role is to make you realize the doom and glory of knowing who you are and what you are. He has to tell, because nobody else in the world can tell, what it is like to be alive. -James Baldwin ------ Thank you for tuning in! Contact Information: Check out the Down Cellar Studio Patreon! Ravelry: BostonJen & Down Cellar Studio Podcast Ravelry Group Instagram: BostonJen1 YouTube: Down Cellar Studio Facebook: https://www.facebook.com/downcellarstudio Sign up for my email newsletter to get the latest on everything happening in the Down Cellar Studio Check out my Down Cellar Studio YouTube Channel Knit Picks Affiliate Link Bookshop Affiliate Link Yarnable Subscription Box Affiliate Link FearLESS Living Fund to benefit the Blind Center of Nevada Music -"Soft Orange Glow" by Josh Woodward. Free download: http://joshwoodward.com/ Note: Some links are listed as Amazon Affiliate Links. If you click those, please know that I am an Amazon Associate and I earn money from qualifying purchases.
On this exciting episode of Fishing the DMV, I'm joined by Chris Decker after his BIG BFL WIN on Kerr Lake (Buggs Island Reservoir)! Chris breaks down the exact spinnerbait fishing pattern that helped him win against a stacked field on one of the best bass fishing lakes in the country.If you've been searching for a Kerr Lake fishing report, Buggs Island bass fishing tips, spring bass fishing patterns, or tournament-winning spinnerbait techniques, this episode is packed with information that can help you catch more bass right now.Chris explains how he used a power fishing approach from start to finish, targeting largemouth bass from ultra-shallow water all the way out to deeper transition areas in 10 feet of water. Instead of constantly changing baits, Chris stayed committed to a chartreuse and white spinnerbait pattern and adjusted throughout the day based on weather, water clarity, and changing lake conditions.In this episode we cover: • Kerr Lake (Buggs Island) BFL Winning Pattern • Spinnerbait Fishing for Big Bass • Spring Bass Fishing Techniques • Power Fishing Strategies That Win Tournaments • Bass Fishing Shallow Water vs Deep Water • How to Fish Changing Conditions During a Tournament • BFL Tournament Fishing Breakdown • Bass Fishing Lure Selection & Adjustments • How to Cover Water Efficiently for Tournament Bass Fishing • Virginia & North Carolina Bass Fishing PatternsWhether you fish Kerr Lake, Buggs Island Reservoir, Lake Gaston, Smith Mountain Lake, Chickahominy River, the James River, or tidal fisheries across Virginia and North Carolina, this episode is loaded with tournament bass fishing knowledge and real-world tactics that are producing fish RIGHT NOW.Topics Covered: Kerr Lake fishing report, Buggs Island fishing report, spinnerbait bass fishing, BFL tournament fishing, largemouth bass fishing, spring bass fishing, bass fishing tips, bass tournament strategy, MLF BFL, power fishing for bass, reaction bait fishing, tournament bass anglers, Virginia bass fishing, North Carolina bass fishing, shallow water bass fishing, offshore bass fishing, bass fishing patterns 2026.
We Sit Down With Mark Motiuk of Motiuk Manufacturing, to talk about his Journey into Gunsmithing adn getting a BFL. The Production and Certification of the R85A1 a Semi Auto L85 Clone. As well as its possible production. Dealing with the RCMP Firearms Lab. Sourceing Parts. building a 7.62 Nato SKS. Modelo A and G3 builds. Other ideas for Legal Guns. and Much more !
Thank you for tuning in to Episode 319 of the Down Cellar Studio Podcast. Full show notes with photos can be found on my website. This week's segments included: On the Needles, Hook or Bobbins Brainstorming From the Armchair Knitting in Passing In my Travels KAL News Events Life in Focus On a Happy Note Quote of the Week Thank you to this episode's sponsors: Stitched by Jessalu- Check out all of Jessalu's bags and accessories at NH Sheep and Wool - May 9 & 10 in Deerfield NH & at the Webs Tent Sale- May 15-17 in Northampton, MA, Massachusetts Sheep & Wool- May 23 & 24 in Cummington, MA On the Needles, Hook or Bobbins Log Cabin Blanket Pattern: Log Cabin Square by Julie Harrison. Free crochet pattern available on Ravelry. Video tutorial available on the Little Woollie Makes YouTube Channel Yarn: Legacy Fiber Artz Minis (mostly from Advent calendars 2023 & 2024) Hook: I (5.5 mm) Ravelry Project Page Inspired by Rachel (treehousefiberarts on Instagram) and Sue & Chelsea (Legacy Fiber Artz on Instagram). Check out the Floss Toss Ravelry Group for details on their Scrappy Blanket CAL. Ends December 21st (but you don't have to finish. 2 prize drawings will be done). My color placement is inspired by this project/pattern available on Ravelry. Inspired to pick it back up after see Sue (from Legacy Fiber Artz)'s version on their latest podcast episode. She bordered with cream before seaming. I love it. You can see a peek in this Instagram post. I bordered one square with a worsted weight Cascade 220 black yarn which I didn't like. Tune in to hear my tale of woe after I decided to machine wash squares before weaving in all of the ends. 23 squares (I think) Jelly Roll Blanket Pattern: Crocheted Jelly Roll Blanket by Kay F Jones Hook: H (5.0 mm) Yarn: Legacy Fiber Artz Steel Toes Mini Skeins + other minis from stash Ravelry Project Page I was inspired by KnitwithNat's blanket- check it out on Instagram. Progress: I finished 2 columns and nearly done with the third Inclinations Cowl Inclinations Cowl by Andrea Mowry ($7.00 Knitting Pattern available on Ravelry & her website. Needles: US 2 (2.75 mm) Yarn: 2 skeins of handspun Color A: Fiber Addict Designs 100% Merino in the Wild Plum Colorway- Ravelry link. Color B: Candombe, I think the fiber is from Malabrigo- Ravelry link. My Ravelry Project Page Progress, I am finally onto the decrease section. Pucker Brush Farm BFL Sweater Spin Fiber: 16 oz of multi colored BFL roving from Pucker Brush Farm (purchased at Rhinebeck 2025), 4 oz Merino in a mustard color & 20 ounces of Grey Shetland from Forever in Fiber on Etsy Ravelry Project Page I am planning to knit a Traveler sweater inspired by Emily Curtis' handmade version- click here for her Ravelry Project Page. I was thrilled to see a recent post on Emily's Instagram that she made a YouTube video about this spin/knit. Finished spinning the first 4 oz of Shetland and started spinning another. I wound off 2 bobbins of the Pucker Brush onto storage bobbins and then wound off the Shetland onto storage bobbins. Midnight Orchid Socks Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Yarn: Patons Kroy Stripes in the Midnight Orchid colorway Ravelry Project Page About the yarn: skinny stripes of cream with contrast colors- greens, ochre and mauvy purples. Progress: Cast on both socks on two separate needles. Sunday Brunch Socks Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Yarn: Woolens & Nosh Targhee Sock in the Sunday Brunch at the Breakfast Club colorway; club colorway Ravelry Project Page About the yarn: mini skein in a medium denim blue. Self striping- tan, navy, mustard, pink, coffee w/ milk brown. Progress: several inches into the first sock's foot Merry Christmas Kevin Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Yarn: Legacy Fiber Artz, Steel Toes in the Merry Christmas, Kevin colorway Ravelry Project Page Progress: a few inches to the first leg. Knit on these in Saturday in NYC, during Book of Mormon. Brainstorming I knit a swatch out of DK cream yarn I had in stash with colorwork in handspun. I haven't taken the time to check gauge after washing it, but that may be my next colorwork yoke sweater. I love using the Ravelry advanced search to search by gauge. DK Tank & similar fingering weight version (DK) Top Sol by Mochi Knits $9.77 US knitting pattern available on Ravelry or the designer's website. (Fingering weight yarn) the Claire vest- available on Ravelry or the designer's website. Summer Raffia Clutch Bag by Anna Ushakova -$4 crochet pattern available on Ravelry or $7.50 on Etsy From the Armchair Books Good People by Patmeena Sabit. Amazon Affiliate Link. Buckeye by Patrick Ryan. Amazon Affiliate Link. River is Waiting by Wally Lamb. Amazon Affiliate Link. Musicals Beauty and the Beast- this show is touring through next November. Two Strangers Carry a Cake Across New York- check out our video set to the opening song. Book of Mormon (this show is also touring if you want to see it in a city near you) Note: Some links are listed as Amazon Affiliate Links. If you click those, please know that I am an Amazon Associate and I earn money from qualifying purchases. Knitting in Passing I had a nice chat with a little boy and his grandmother on the train during MA school vacation week. He was absolutely mesmerized. In My Travels NYC for Riley & Aila's birthdays! Friday: Thrifting, shopping, coffee, FAO Schwartz (for JellyCat Cafe but they didn't have any openings). We met Laura for dinner at Serendipity in Times Square. Saturday: we scored Rush tickets for Two Strangers Carry a Cake Across New York, did a little more shopping and eating (got in some NYC pizza of course) then to see the show at 2p which Laura joined us for. Then we all had dinner at Dos Caminos before our 7p Book of Mormon Show. At home, we heated up a cinnamon roll Laura went all the way downtown to get us from Losers. Sunday: we got bagels and then coffee, finished the TikTok video to the Two Strangers opening song and then hit the road. Stay tuned for a YouTube video of our adventures. KAL News Splash Pad Party '26 Details Event runs 5/22-7/31 Splash Pad Party Registration is open as of 5/1 View Stats and/or Verify Registration here. Check out our Sponsor List Splash Pad '26 Official Rules Enter your FOs using the Summer Celebration Form. Then come over to this Ravelry Thread to share pics and let us ooh and ahh with you! Submit something incorrectly? Need help? Fill out this Support Form & we'll be in touch. Find official SPP'26 images you can use on social media in this Google folder. Splash Pad RAVELRY Links Start Here Thread Pro Shop Exclusive Items Thread Coupon Codes Thread Questions Thread Events NH Sheep and Wool - May 9 & 10 in Deerfield NH Coggeshall Farm Fiber Festival- May 16 in Bristol, RI Webs Tent Sale- May 15-17 in Northampton, MA Massachusetts Sheep & Wool- May 23 & 24 in Cummington, MA Life in Focus 26 in 2026 List E- Events- go to at least 26 ticketed events (17 as of 4/25!) L- Literary pursuit- read at least 65 books (24 as of 4/27) N- NYC- go visit Laura at least once (scheduled for April) Q-Quarterly review of calendar/photos & goals (to make Year in Review easier and faster)- calendar it! March done S- Socks- knit 26 pair- 6 done so far. W- Wheel- sit down at my spinning wheel every month (put reminders on my calendar at the beginning of each month to help remind me) Jan, Feb, March, April done On a Happy Note During a short spell of what actually felt like Spring weather, Dan and I went to our friend's daughter's high school lacrosse game and then out for dinner after. I joined Dan for his weekly card game. We played Five Crowns, which I really enjoy. We had dinner with Dan's cousins who we don't see often and then with an old high school friend of Dan's who he hasn't seen in over 25 years! He and his wife were lovely. Fun chat. We brought Hattie to Beauty and the Beast, looking all beautiful in her Belle dress. She had an absolute blast. My work friends were reminiscing about this funny old cell phone commercial video we used to love watching it. Check out show notes for link to the video Quote of the Week " I think one of the things that makes theater special is first of all, it's one of the last places you put your phone away." - Lin-Manuel Miranda " I know the world is filled with troubles and many injustices. But reality is as beautiful as it is ugly. I think it is just as important to sing about beautiful mornings as it is to talk about slums. I just couldn't write anything without hope in it." - Oscar Hammerstein ------ Thank you for tuning in! Contact Information: Check out the Down Cellar Studio Patreon! Ravelry: BostonJen & Down Cellar Studio Podcast Ravelry Group Instagram: BostonJen1 YouTube: Down Cellar Studio Facebook: https://www.facebook.com/downcellarstudio Sign up for my email newsletter to get the latest on everything happening in the Down Cellar Studio Check out my Down Cellar Studio YouTube Channel Knit Picks Affiliate Link Bookshop Affiliate Link Yarnable Subscription Box Affiliate Link FearLESS Living Fund to benefit the Blind Center of Nevada Music -"Soft Orange Glow" by Josh Woodward. Free download: http://joshwoodward.com/ Note: Some links are listed as Amazon Affiliate Links. If you click those, please know that I am an Amazon Associate and I earn money from qualifying purchases.
Thank you for tuning in to Episode 318 of the Down Cellar Studio Podcast. Full show notes with photos can be found on my website. This week's segments included: Off the Needles, Hook or Bobbins On the Needles, Hook or Bobbins From the Armchair Crafty Adventures KAL News Events On a Happy Note Quote of the Week Off the Needles, Hook or Bobbins Northern Lights Socks Yarn: Patons Kroy in the Northern Lights Colorway Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Ravelry Project Page Started November 2024, but I don't think I've ever mentioned them on the podcast. About the yarn- thin stripes of cream broken up 3 shades of teal/light blue, 2 grays and 1 deep purple. October 2025 Sock Club Socks Yarn: agirlandherwool Sock Yarn in the October 2025 Colorway Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Ravelry Project Page Mystery self-striping sock yarn club- stripes of peach, orange, yellow and green. On the Needles, Hook or Bobbins Log Cabin Blanket Pattern: Log Cabin Square by Julie Harrison. Free crochet pattern available on Ravelry. Video tutorial available on the Little Woollie Makes YouTube Channel Yarn: Legacy Fiber Artz Minis (mostly from Advent calendars 2023 & 2024) Hook: I (5.5 mm) Ravelry Project Page Inspired by Rachel (treehousefiberarts on Instagram) and Sue & Chelsea (Legacy Fiber Artz on Instagram). Check out the Floss Toss Ravelry Group for details on their Scrappy Blanket CAL. Ends December 21st (but you don't have to finish. 2 prize drawings will be done). My color placement is inspired by this project/pattern available on Ravelry. Inspired to pick it back up after see Sue (from Legacy Fiber Artz)'s version on their podcast episode. She bordered with cream before seaming. I love it. You can see a peek in this Instagram post. Progress- 23 squares Inclinations Cowl Inclinations Cowl by Andrea Mowry ($7.00 Knitting Pattern available on Ravelry & her website. Needles: US 2 (2.75 mm) Yarn: 2 skeins of handspun Color A: Fiber Addict Designs 100% Merino in the Wild Plum Colorway- Ravelry link. Color B: Candombe, I think the fiber is from Malabrigo- Ravelry link. My Ravelry Project Page Progress: Nearly done with the increase section! Midnight Orchid Socks Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Yarn: Patons Kroy Stripes in the Midnight Orchid colorway Ravelry Project Page About the yarn: skinny stripes of cream with contrast colors- greens, ochre and mauvy purples. Progress: Cast on both socks on two separate needles. Pollen Party Socks Yarn: Hypnotic Yarn Plush Sock in the Pollen Party colorway + 20g mini (I think it's Legacy Fiber Artz mini) Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Ravelry Project Page Progress: I am nearly done with sock 1 Pucker Brush Farm BFL Sweater Spin Fiber: 16 oz of multi colored BFL roving from Pucker Brush Farm (purchased at Rhinebeck 2025), 4 oz Merino in a mustard color & 20 ounces of Grey Shetland from Forever in Fiber on Etsy Ravelry Project Page I am planning to knit a Traveler sweater inspired by Emily Curtis' handmade version- click here for her Ravelry Project Page. I was thrilled to see a recent post on Emily's Instagram that she made a YouTube video about this spin/knit. I started spinning the Shetland and its so dreamy. I'm still working on the first 4 oz bump. From the Armchair Books So Old, So Young by Grant Ginder. Amazon Affiliate Link. Intermezzo by Sally Rooney. Amazon Affiliate Link. There's a great review of Intermezzo by Alexandra Harris (with some potential spoilers) on the Guardian's website. Bring the House Down by Charlotte Runcie. Amazon Affiliate Link. Musical: The Outsiders Note: Some links are listed as Amazon Affiliate Links. If you click those, please know that I am an Amazon Associate and I earn money from qualifying purchases. Crafty Adventures Making a flower arrangement to put under the headstone/bench at the cemetery for Mom. KAL News Splash Pad Party will start Friday May 22nd and run through July 31st. Sponsor call has gone out to email subscribers. Will share on social soon. Click here to learn more about sponsor options for Splash Pad '26. Events Fiber Witch Festival- April 24-26th in Salem, MA Connecticut Sheep & Wool- April 25 in North Haven, CT NH Sheep and Wool - May 9 & 10 in Deerfield NH Coggeshall Farm Fiber Festival- May 16 in Bristol, RI Webs Tent Sale- May 15-17 in Northampton, MA Massachusetts Sheep & Wool- May 23 & 24 in Cummington, MA On a Happy Note Connecting with our nephew Oisin over a re-watch of West Wing. Seeing Rent- but especially how much Riley enjoys it. The show fell on Eme's 22nd birthday so that was fun too! Riley turned 18! So proud of that kid! Katie's Randomness (Pigskin sponsor) was having a winter sale. I splurged on two winter bags- one Gilmore Girls themed and the other Christmas chickens! I checked out a new to our area secondhand shop- Uptown Cheapskate. Despite cooler temps and rain, we had a lovely Easter dinner at my Dad's. A text from my SIL after Easter dinner saying that Zach (who turns 4 in May) went to bed Easter night asking if my dad was coming to his birthday party. I inadvertently made a ridiculously large batch of Superhero muffins because I added too much salt. Turns out I can make 94 muffins in about 3 hours. Not too shabby! Good thing they freeze well. Warming temps and quieter weekends after a stressful work week. My Monday morning workout turned into a country music jam! Such a fun way to start the week. Quote of the Week Feeling gratitude and not expressing it is like wrapping a present and not giving it. -William Arthur Ward ------ Thank you for tuning in! Contact Information: Check out the Down Cellar Studio Patreon! Ravelry: BostonJen & Down Cellar Studio Podcast Ravelry Group Instagram: BostonJen1 YouTube: Down Cellar Studio Facebook: https://www.facebook.com/downcellarstudio Sign up for my email newsletter to get the latest on everything happening in the Down Cellar Studio Check out my Down Cellar Studio YouTube Channel Knit Picks Affiliate Link Bookshop Affiliate Link Yarnable Subscription Box Affiliate Link FearLESS Living Fund to benefit the Blind Center of Nevada Music -"Soft Orange Glow" by Josh Woodward. Free download: http://joshwoodward.com/ Note: Some links are listed as Amazon Affiliate Links. If you click those, please know that I am an Amazon Associate and I earn money from qualifying purchases.
Thank you for tuning in to Episode 317 of the Down Cellar Studio Podcast. Full show notes with photos can be found on my website. This week's segments included: Off the Needles, Hook or Bobbins On the Needles, Hook or Bobbins Brainstorming From the Armchair Knitting in Passing In my Travels Events Life in Focus On a Happy Note Quote of the Week Thank you to this episode's sponsor: Stitched by Jessalu & shop with them at the Fiber Witch Festival- April 24-26th in Salem, MA Thank you to this episode's sponsor The Yarn Sellar & check out details for their Fiber Marketplace (April 11, 2026) here Off the Needles, Hook or Bobbins Spectrum Socks Yarn: Woolens & Nosh Targhee Sock in the Spectrum Colorway Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Ravelry Project Page Back to the Future Socks Yarn: Legacy Fiber Artz Steel Toes. Micro-Sock Kit in the Back to the Future Colorway Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Ravelry Project Page Back to the Future Sock set- gifted to me by Sue & Chelsea- part of their 4 Sundays of Advent yarn in 2025. Treysta Pattern: Treysta by Jennifer Steingass $8.50 knitting pattern available on Ravelry & the Laine publishing website Yarn: MC- Lion Brand Fishermen's Wool in Oatmeal. CC1: Handspun (Ravelry Project Page) dark blue. CC2: Harrisville Designs New England Highland in #34 High Aster (pink). CC3: Brown Sheep Company Prairie Spun DK in Rain Cloud (gray) Needles: US 5 (3.75 mm) & US 6 (4.0 mm) Ravelry Project Page On the Needles, Hook or Bobbins October 2025 Sock Club Socks Yarn: agirlandherwool Sock Yarn in the October 2025 Colorway Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Ravelry Project Page Mystery self-striping sock yarn club- stripes of peach, orange, yellow and green. Progress: finished sock 1 and cast on sock 2. I'm a few inches into the leg. Pollen Party Socks Yarn: Hypnotic Yarn Plush Sock in the Pollen Party colorway + 20g mini (I think it's Legacy Fiber Artz mini) Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Ravelry Project Page Progress: I've knit most of the leg of the first sock. Pucker Brush Farm BFL Sweater Spin Fiber: 16 oz of multi colored BFL roving from Pucker Brush Farm (purchased at Rhinebeck 2025), 4 oz Merino in a mustard color & 20 ounces of Grey Shetland from Forever in Fiber on Etsy Ravelry Project Page I am planning to knit a Traveler sweater inspired by Emily Curtis' handmade version- click here for her Ravelry Project Page. I was thrilled to see a recent post on Emily's Instagram that she made a YouTube video about this spin/knit. Progress: I started spinning the Shetland and its so dreamy. I'm about half way through the first 4 oz bump. Brainstorming Cream DK weight yarn from Aunt Florence will pair well with mustard handspun for another colorwork yoke sweater! I received the latest subscription yarn from Woolens & Nosh in the mail this weekend and I'm itching to cast it on. The colorway is called Sunday Brunch at the Breakfast Club From the Armchair Books Meet Me At the Lake by Carley Fortune. Amazon Affiliate Link. Theo of Golden by Allen Levi. Amazon Affiliate Link. Project Hail Mary by Andy Weir. Amazon Affiliate Link. Movie: Project Hail Mary Musical: Suffs Check out this Time Magazine article. Note: Some links are listed as Amazon Affiliate Links. If you click those, please know that I am an Amazon Associate and I earn money from qualifying purchases. Knitting in Passing I got a lot of great compliments on the new flower granny square ski balaclava (Ravelry Project Page) I crocheted last month. I wore it skiing at Sunday River. In My Travels I shared about our recent ski trip to Sunday River in Maine. We enjoyed dinner at the Brick & Stone Tavern in Rumford on Friday night, Dance party at VRBO house Friday night, Steam Mill Brewing in Bethel (right near the mountain) on Saturday night and breakfast at Terry & Maxine's in Turner, ME Riley and I visited the Boston Public Market's 2026 Fiberfest on March 22. I think they had about 20 vendors there, some free demos, and a great atmosphere. Parking is only $3 for 3 hours. It was my first real outing wearing my Traveler Sweater! Events Fiber Marketplace- April 11 from 10a-3p in York Beach, ME. Fiber Witch Festival- April 24-26th in Salem, MA Connecticut Sheep & Wool- April 25 in North Haven, CT NH Sheep and Wool - May 9 & 10 in Deerfield NH Coggeshall Farm Fiber Festival- May 16 in Bristol, RI Webs Tent Sale- May 15-17 in Northampton, MA Massachusetts Sheep & Wool- May 23 & 24 in Cummington, MA Life in Focus A few updates 26 in 2026 Updates B- Blood- donate at least 4 times (1/20, 3/17) D- Declutter 26+ items- delivered a trunk full in February E- Events- go to at least 26 ticketed events 9 as of now) F-Find 2-6 new things and try them out! 1) Live music at The Cottage J- Journal- Write 365 entries in my I Remember Journal about Mom (inspired by Liz Craft who talked about it on Ep 451 of Happier in Hollywood podcast) K- Knit at least 2 projects with handspun (Treysta sweater, Inclinations Cowl in progress) L- Literary pursuit- read at least 65 books (18 as of March) N- NYC- go visit Laura at least once (scheduled for April) R- Restaurant- try at least 1 new local restaurant (Blu in Theater District 3/26) S- Socks- knit 26 pair- 6 done so far. W- Wheel- sit down at my spinning wheel every month ---Jan, Feb, March done On a Happy Note Ski weekend at Sunday River. At the igloo we ordered a chocolate chip cookie from the gluten free food truck and it was HUGE (and delicious). There was a very low ceiling in our rental house- and I just looked back at photos to get ready for to record and there's a funny one of Riley and me touching the ceiling- I knew Hattie jumped in for the last one but I didn't realize she was holding a kids sized pool cue to touch the ceiling too! Hilarious. Jeff, Megg, Riley and I all did a word search on the breakfast menu after skiing- we all took it so seriously which was just so fun! Lost power after a big wind storm, but it came back on earlier than expected- Dan and I still went out to dinner at fav local Italian restaurants (pro tip- it was a great choice on St. Patrick's Day) Broadway soundtrack for Two Strangers Carry a Cake Across New York came out on the SAME day as the Project Hail Mary movie released in theater (yes, we went opening day). Megg and I renewed our Broadway in Boston subscription for 2027! It's a great line up- Hell's Kitchen, Phantom of the Opera, A Beautiful Noise, Tommy, Death Becomes Her, Maybe Happy Ending, Operation Mincemeat & The Notebook. There are a few other shows available that we may add on. My friend Marta booked her plane tickets to come visit from Barcelona this summer! Going out for Live Irish music at a local pub My friend Nancy Kelley's second book just came out! The Courage of Two: Anne Hutchinson, Mary Dyer and the Fight for Freedom of Conscience in Early America. Quote of the Week "The beautiful spring came; and when Nature resumes her loveliness, the human soul is apt to revive also." -Harriet Jacobs ------ Thank you for tuning in! Contact Information: Check out the Down Cellar Studio Patreon! Ravelry: BostonJen & Down Cellar Studio Podcast Ravelry Group Instagram: BostonJen1 YouTube: Down Cellar Studio Facebook: https://www.facebook.com/downcellarstudio Sign up for my email newsletter to get the latest on everything happening in the Down Cellar Studio Check out my Down Cellar Studio YouTube Channel Knit Picks Affiliate Link Bookshop Affiliate Link Yarnable Subscription Box Affiliate Link FearLESS Living Fund to benefit the Blind Center of Nevada Music -"Soft Orange Glow" by Josh Woodward. Free download: http://joshwoodward.com/ Note: Some links are listed as Amazon Affiliate Links. If you click those, please know that I am an Amazon Associate and I earn money from qualifying purchases.
On this week's episode of “Da” Podcast, Steve is joined by mixed martial artist Adam Posener as they talk about fighting for the BFL, the “Primetime” nickname, winning a title for the first time, disciplines, good grappling, type of fans, submissions, entertaining fighters, match-ups, weight classes, judging, eye poking, evolution of the sport, golfing and so much more! If you're looking for “Da” Podcast merchandise, and want to support the show directly, please visit http://tee.pub/lic/KrIMP441400 We have tees, hoodies, onesies, phone cases, pillows, mugs and more! If you're into wrestling collectables, autographs, comic books, action figures, sports cards and more, make sure to visit www.firstrow.ca and use promo code: DAPODCAST20 to receive 20% off! Looking for something new to read and also into video games? Please visit www.bossfightbooks.com for great books on classic video games! You can follow Steve on all the socials, @fingastylz Send your questions and comments to dapodcastdap@gmail.com Make sure to subscribe, rate, like, follow or review on ApplePodcasts, TuneIn, SoundCloud, Spotify and iHeartRadio!
Let us know what's on your mindWhen Texas Christian University runs out at the Aviva Stadium on August 29th for the 2026 Aer Lingus College Football Classic, it will mark more than just Week Zero of a new season.For Athletic Director Mike Buddie, it will be a statement about identity, ambition and education — on and off the field.Buddie was in Dublin yesterday tidying up some of the elements that will lead towards the big game this summer. The game itself is much more, leading out into areas of business, leadership, academic opportunity and a significant tourism boost not only for Dublin but across the country.16,000 are expected to travel from the US to see the Tar Heels of the University of North Carolina take on the Horned Frogs of TCU, with the balance made up of European and Irish based fans of the sport, spurred by four sell out years since 2022 and boosted by last year's extravaganza from the BFL of the Pittsburgh Steelers and the Minnesota Vikings. General ticket sales will begin on March 12th, with Group bookings and a presale period open now.We had an opportunity to sit with Buddie for a half hour overlooking the stadium yesterday, the result of which will drop later today in the Sport for Business podcast. Find out more about what we do day in day out at Sportforbusiness.comWe publish a daily news bulletin and host regular live events on a wide range of sporting subjects. Subscribe to the podcast wherever you get your podcasts from, and look forward to more upcoming chats on leadership and the business of sport.Our upcoming live events, including our League of Ireland Breakfast at Grant Thornton on February 4th, as well as plenty more, are live on the Sport for Business website, and we'd love to have you join us.
Thank you for tuning in to Episode 314 of the Down Cellar Studio Podcast. Full show notes with photos can be found on my website. This week's segments included: Off the Needles, Hook or Bobbins On the Needles, Hook or Bobbins Brainstorming From the Armchair Knitting in Passing KAL News Contest, News & Notes Life in Focus On a Happy Note Quote of the Week Off the Needles, Hook or Bobbins Hattie's Rainbow Mittens Pattern: Little Waiting for Winter Mittens by Susan B. Anderson- $4 Knitting Pattern available on Ravelry Yarn: Knit Picks Felici Worsted in the Vegas Baby colorway Needles: US 7 (4.5 mm) Ravelry Project Page About the colorway- stripes of gray, blue, green, mustard, red and pink. Hattie's Sparkly Mittens Pattern: Little Waiting for Winter Mittens by Susan B. Anderson- $4 Knitting Pattern available on Ravelry Yarn: Fingering yarn held double- 1 sparkle & 1 non-sparkle base (sparkles are 20g minis from Legacy Fiber Artz Advent calendars of years past) Needles: US 7 (4.5 mm) Ravelry Project Page Traveler Sweater Pattern: The Traveler by Andrea Mowry ($9 pattern available on Ravelry & the designer's website) Yarn: Hazel Knits Small Batch Sport (90/10 SW/Nylon) in a sage green Needles: US 3 (3.25 mm) & US 4 (3.5 mm) Ravelry Project Page Size: 3 Drawstring- fingering weight yarn- US 6 DPNs. I washed it several times, because it was bleeding yellow. I had to wash it several times before all of the rest of the dye let go. Finished. Washed it. Sleeves were too big. I had 28 purl ridges on the sleeves, I ripped back 7 and then worked the ribbing. Wore to Hattie's birthday dinner. Very comfy cozy. I am finding the weight of the hood wants to pull it back on my neck which I'm not sure I love. Have you found this? Woolens & Nosh 2025 Advent Socks Yarn: Woolens & Nosh, 75/25 Superwash Wool/Nylon 2025 Advent Colorway Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Ravelry Project Page Finished right after I finished the last episode. Love these so much! Dory Pattern: Mega Ray & Sea Friends by Theresa's Crochet Shop- $15.50 pattern on website or Etsy Yarn: Knit Picks Brava minis in Celestial, Custard, Black & White Hook: C (2.75 mm) Ravelry Project Page Gus the Dino Pattern: Gus the Dino by KP Crochet Patterns. $8.50 US Pattern on Etsy (on sale right now) Yarn: Bernat Blanket in Misty Green & Parfait Chunky in White Hook: J (6.0 mm) Ravelry Project Page 35 mm eyes were too big! I bought smaller ones, beheaded Gus and gave him a new head with new eyes! On the Needles, Hook or Bobbins Back to the Future Socks Yarn: Legacy Fiber Artz Steel Toes. Micro-Sock Kit in the Back to the Future Colorway Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Back to the Future Sock set- gifted to me by Sue & Chelsea- part of their 4 Sundays of Advent yarn in 2025. About the Colorway- speckles of pink, orange, yellow purple and blue with a blue/purple mini. Progress- just about to toe of sock 1 Arielle's Socks Yarn: Edelweiss Fibres Standard Sock (75% SW Merino/25% Nylon), 425m for 100g in the Hillside Heather Colorway Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Ravelry Project Page About the colorway- maroons, browns and greens. Cast on both on separate needles. Progress- a few inches into leg on one sock, ready to work the toe on the other US 6 shoe. 7.25 inches before toe. About 8.5 inches total foot length. Kirby Wirby 2025 Advent Socks Yarn: Kirby Wirby 75/25 Superwash Merino/Nylon in the 2025 Advent Christmas Toys from the 80s 24 Stripe Colorway Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Ravelry Project Page Yarn theme: Christmas Toys from the 80s Progress- turned heel on sock 2 Pucker Brush Farm BFL Sweater Spin Fiber: 16 oz of multi colored BFL roving from Pucker Brush Farm (purchased at Rhinebeck 2025), 4 oz Merino in a mustard color Ravelry Project Page I am planning to knit a Traveler sweater inspired by Emily Curtis' handmade version- click here for her Ravelry Project Page. I was thrilled to see a recent post on Emily's Instagram that she made a YouTube video about this spin/knit. I plied up about 8.5grams of the BFL with the Finnsheep. 23 wraps (690 inches/19 yards) .3 ounces / around 8.5 grams I've been keeping my wheel next to my spot on the couch and spinning if not every day, then more days than not. Handspun documentation I went through nearly all of my handspun skeins of yarn. I made updates in each page on Ravelry to add skein information. You can enter length and weight and it add that to your stash. I also ended up changing the names of the finished projects to include the weight and length! I wrote yarn weight (dk sport etc) on physical tags i have on the yarn. So much easier for me to work with. Brainstorming I have 3 skeins of Lion Brand Fisherman's Wool that I used to start a Waverly Cardigan (but the gauge is just too tight)- click here for my Ravelry Project Page. I think it might be good for the Lakes Pullover by Ozetta (Ravelry Pattern- $8 knitting pattern). I found this by searching the yarn on ravelry then doing the advance pattern search to look for sweaters people knit with this yarn. Related- Eileen recently asked if someone in our group had knit a certain pattern she had questions about before purchasing/committing to. If you look at the pattern on Rav and click the Projects Tab. You can use the filters there to select "Made by Group Members" and then click on the Rav group you want to look in. You can use that to see who you want to chat w/ about it. ElizabethisKnitting (on Instagram- shared her Winter Soul Sweater in this post. Its so beautiful! Why are you not all knitting this? Great question. You can find this pattern on Ravelry. From the Armchair Greenwich by Kate Broad. Amazon Affiliate Link. Best Offer Wins by Marisa Kashino. Amazon Affiliate Link. The Maid by Nita Prose. Amazon Affiliate Link. Little One by Olivia Muenter. Amazon Affiliate Link Heated Rivalry by Rachel Reid. Amazon Affiliate Link. The Widow's Husband's Secret Lie (A Satirical Novella) by Freida McFadden. Amazon Affiliate Link. Note: Some links are listed as Amazon Affiliate Links. If you click those, please know that I am an Amazon Associate and I earn money from qualifying purchases. Knitting in Passing At Hattie's birthday dinner, Emelyn asked for help crocheting a circle. They were making a stuffed animal to look like a stage like and had everything done but the center bulk part. Aila also ended up working on it with us. OMG Sock Classes are finished! All of my students turned their heels, some did both socks. Many did their toes and kitchenered. They all had fun and were far more successful than they anticipated so that was very exciting. KAL News Pigskin Party '25 is over! Event Dates: KAL Dates- Thursday September 4, 2025- Monday February 9, 2026 Updates In This Episode Official Sponsor for Quarter 4 (January)- Yarnaceous Fibers- winner announced Commentary from Mary January Participation Prize Winners Announced Grand Prize winners will be announced in the next episode. Commentator Update Thanks to everyone for another fantastic season! The February huddle has been full of chatter about all the projects people rushed to finish before the deadline. However, one of my favorite conversations has been in response to beachsideknits2's question: What is weirdest/most random thing you've ever made? Here are some fantastic answers (prepare to be wowed!) Beachsideknit2's succulent pillow- Ravelry Project Page Tanksoup's Tiktaalik (in case you are like me and had no idea what a tiktaalik is, it "is a 375 million year old fossil fish that was discovered in the Canadian Arctic in 2004" according to this site. Check out Tanksoup's Ravelry Project Page Leahbothe's nose sweaters- Ravelry Project Page And socalknitgirl's top hat—Ravelry Project Page I hope everyone has as much fun as I did this season! See you all this summer for splash pad party! Mary Contest, News & Notes Ross Farm fire Check out this news article with details about the fire. Click here if you're interested in donating or consider purchasing yarn, fiber etc and letting these sheep live on even after they're gone. On a Happy Note I bought a new car! I went to see Sleepwalker at a local theater. Here's a link to a review that sums up some of my thoughts. I went to see Some Like it Hot in Boston. Megg & I got a fabulous dinner beforehand at Yvonne's. Our waitress even brought over a delicious dumpling dish for us to try (sans lobster). Friday date nights with Dan Running into Riley & her bestie Ellie at Lucky Finn, my current local favorite coffee shop- after the gym on a Saturday morning. It was so hilarious! Very much enjoyed Pluribus on Apple TV+. Seeing Millie in Finding Nemo Jr. and an early dinner after with family. Mani/pedis with Megg, Eme & Hattie for Hattie's birthday. Super Bowl- while we lost it's always fun to watch. I enjoyed the commercials, and had fun cheering on the Seahawks kicker Jason Myers who played football at Marist where I went to college (now Marist University) Hattie's 8th birthday dinner. Dad and I did a Zoom beforehand in celebration of what would have been Mom's 70th with a few of her cousins. Quote of the Week Love and compassion are necessities, not luxuries. Without them humanity cannot survive. -Dalai Lama ------ Thank you for tuning in! Contact Information: Check out the Down Cellar Studio Patreon! Ravelry: BostonJen & Down Cellar Studio Podcast Ravelry Group Instagram: BostonJen1 YouTube: Down Cellar Studio Facebook: https://www.facebook.com/downcellarstudio Sign up for my email newsletter to get the latest on everything happening in the Down Cellar Studio Check out my Down Cellar Studio YouTube Channel Knit Picks Affiliate Link Bookshop Affiliate Link Yarnable Subscription Box Affiliate Link FearLESS Living Fund to benefit the Blind Center of Nevada Music -"Soft Orange Glow" by Josh Woodward. Free download: http://joshwoodward.com/ Note: Some links are listed as Amazon Affiliate Links. If you click those, please know that I am an Amazon Associate and I earn money from qualifying purchases.
Thank you for tuning in to Episode 313 of the Down Cellar Studio Podcast. Full show notes with photos can be found on my website. This week's segments included: Off the Needles, Hook or Bobbins On the Needles, Hook or Bobbins From the Armchair Some Years Later Knitting in Passing KAL News Events Life in Focus On a Happy Note Quote of the Week Off the Needles, Hook or Bobbins I mended Hattie's mittens (store bought) and added snaps to her mermaid's removable tail. Granny Square Ski Helmet Balaclava Pattern: none Hook: I (5.5 mm) Yarn: Knit Picks Brava in Dove Heather & Marina, Big Twist Value Solids in Aqua, Vanna's Choice in Charcoal Gray + 1 unknown blue worsted weight acrylic yarn. Ravelry Project Page I did one square to practice and see how I liked the colors together. Originally had a pop of a lime green in there. Liked the colors but didn't love the square. I also used that square to see for the smaller skeins (~30g) would I have enough yarn. I made a second square and that one I really enjoyed. 7 colors- from center out- light gray, medium/bright blue, white, aqua, charcoal, marina (teal), white I made 8 squares. Check out this Instagram post from Grandma.era on how to seam them together. Chroma Twist Bulky in Cousteau for trim around the face and along the bottom edge. It was riding on the train with me in my AdoreKnit Pigskin Party bag. Did you see that Steph from Adoreknit donated 10% of her Down Cellar Studio KAL items to our FearLESS Living Fund? With your help she donated $613 in 2025! On the Needles, Hook or Bobbins Back to the Future Socks Yarn: Legacy Fiber Artz Steel Toes. Micro-Sock Kit in the Back to the Future Colorway Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Back to the Future Sock set- gifted to me by Sue & Chelsea- part of their 4 Sundays of Advent yarn in 2025. About the Colorway- speckles of pink, orange, yellow purple and blue with a blue/purple mini. I cast these on before day trip up to Loon Mountain. I am almost to the heel of sock 1. Traveler Sweater Pattern: The Traveler by Andrea Mowry ($9 pattern available on Ravelry & the designer's website) Yarn: Hazel Knits Small Batch Sport (90/10 SW/Nylon) in a sage green Needles: US 3 (3.25 mm) & US 4 (3.5 mm) Ravelry Project Page Size: 3 Drawstring- fingering weight yarn- US 6 DPNs. I washed it several times, because it was bleeding yellow. I had to wash it several times before all of the rest of the dye let go. Pucker Brush Farm BFL Sweater Spin Fiber: 16 oz of multi colored BFL roving from Pucker Brush Farm (purchased at Rhinebeck 2025), 4 oz Merino in a mustard color Ravelry Project Page I am planning to knit a Traveler sweater inspired by Emily Curtis' handmade version- click here for her Ravelry Project Page. I was thrilled to see a recent post on Emily's Instagram that she made a YouTube video about this spin/knit. I plied up about 8.5 grams of the BFL with the Finnsheep. 23 wraps (690 inches/19 yards) Knit up a swatch on a US 4 and got gauge almost exactly To knit another size 3 Traveler I think I need approximately 19 ounces of each fiber. I did a lot of spinning during the big snowstorm we got last weekend. I am so into it! I cleaned my wheel and wound off fiber onto storage bobbins. Woolens & Nosh 2025 Advent Socks Yarn: Woolens & Nosh, 75/25 Superwash Wool/Nylon 2025 Advent Colorway Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Ravelry Project Page Progress: worked on the foot of the second sock during game night at home Log Cabin Blanket Pattern: Log Cabin Square by Julie Harrison. Free crochet pattern available on Ravelry. Video tutorial available on the Little Woollie Makes YouTube Channel Yarn: Legacy Fiber Artz Minis (mostly from Advent calendars 2023 & 2024) Hook: I (5.5 mm) Ravelry Project Page Inspired by Rachel (treehousefiberarts on Instagram) and Sue & Chelsea (Legacy Fiber Artz on Instagram). Check out the Floss Toss Ravelry Group for details on their Scrappy Blanket CAL. Ends December 21st (but you don't have to finish. 2 prize drawings will be done). My color placement is inspired by this project/pattern available on Ravelry. Inspired to pick it back up after see Sue (from Legacy Fiber Artz)'s version on their latest podcast episode. She bordered with cream before seaming. I love it. You can see a peek in this Instagram post. Progress- made one more. Total to date: 12 Hattie's Rainbow Mittens Pattern: Little Waiting for Winter Mittens by Susan B. Anderson Yarn: Knit Picks Felici Worsted in the Vegas Baby colorway Needles: US 7 (4.5 mm) Cast on at Fiber Club at my library. The next morning my train was slow so I finished all but the thumb on the first mitten. Cast on second About the colorway- stripes of gray, blue, green, mustard, red and pink. From the Armchair Podcast: The Walkers- The real Salt Path (Tortoise Investigates/The Observer) The Lost Bookshop by Evie Woods. Amazon Affiliate Link Beyond That, The Sea by Laura Spence-Ash. Amazon Affiliate Link. (recommended by Paige) Note: Some links are listed as Amazon Affiliate Links. If you click those, please know that I am an Amazon Associate and I earn money from qualifying purchases. Some Years Later A look back my 2025 fiber crafting and podcast related items. 60 projects- click here to see these projects in Ravelry. 47 gifts/ 13 for me 34 knit/ 26 crochet No finished spinning projects 1 bag 3 blankets 6 cozies 8 hats 25 socks 1 Christmas stocking 1 sweater 2 tops 13 toys Other fun numbers: Podcast Episodes- 23 Videos on YouTube- 33 BostonJen1- Instagram Followers-10,275 - I finally hit 10k!!!!!!! Ravelry Group Members: 3137 (up from 2981 in 2024) 1 Interview for Love in Stitches Group Podcaster Meet-ups: 1 with Natalie at Flock; 1 at Rhinebeck I was paid to do social media for the Cape & South Shore Yarn Haul Knitting in Passing I am teaching classes on the OMG Sock at Staci's Stitches, my LYS and enjoying seeing my students progress! My friend Mara texted me from the Celtics game the other night saying she was fairly sure one of the other fans in her section was wearing an Ice Time Hat (one of my designs)- you can find the pattern on Ravelry & LoveCrafts KAL News Pigskin Party '25 Event Dates: KAL Dates- Thursday September 4, 2025- Monday February 9, 2026 Find everything you need in the Start Here Thread in the Ravelry Group Official Rules Registration Form (you must be Registered to be eligible for prizes) Enter your projects using the Point Tally Form Find the full list of Sponsors in this Google Doc. Coupon Codes are listed in this Ravelry Thread Exclusive Items from our Pro Shop Sponsors are listed in this Ravelry Thread Questions- ask them in this Ravelry Thread or email Jen at downcellarstudio @ gmail.com Updates In This Episode Official Sponsor for Quarter 4 (January)- Yarnaceous Fibers. Check out this Ravelry Thread for 4th & Goal with Yarnaceous Fibers Challenge Details Wild Card WIP Bonus- check out this Ravelry thread for details (ran 1/5/26 through 1/16/26)- 43 projects finished. Check out this view of the Ravelry chat thread which shows all of the Projects mentioned. A few highlights: ScrapperChris made a beautiful snowflake cardigan (started in 2020)- Ravelry Project Page TXHeather crocheted a 2k+ meter Christmas Tree skirt (also started in 2020)- Ravelry Project Page IWillKnitUaSock- finished knitting a beautiful Angel's Eyes cabled cardigan sweater by Thea Colman that she started in 2022- Ravelry Project Page ImaginedLandscapes finished not 1 but 2 beautiful sweaters, the Diona Pullover (Ravelry Project Page) & the Sonrae (Ravelry Project Page) Commentator Update We are in the home stretch of the Pigskin Party and players are working hard to finish their projects before the clock expires! I wandered over to the end zone dance thread to see what players have finished recently. Here are some amazing projects that caught my eye: Adrie9 finished a knitted knockers blitz! Some of them are specific requests and others for general donation. https://www.ravelry.com/discuss/down-cellar-studio-podcast/4375943/951-975#965 Katanorand finished an amazing spinning project! 26 oz of beautiful 3-ply yarn! https://www.ravelry.com/discuss/down-cellar-studio-podcast/4375943/951-975#960 Players have also completed some beautiful intricate socks! Rosberrycrafts completed some beautiful Christmas colorwork socks https://www.ravelry.com/discuss/down-cellar-studio-podcast/4375943/951-975#962 Fgcreations posted a picture of her second completed pair of socks for 2026! Amazing! They are another beautiful colorwork pattern and the colors she chose are beautiful https://www.ravelry.com/discuss/down-cellar-studio-podcast/4375943/951-975#955 Sandima finished a lovely pair of mosaic socks that used 4 colors for the q4 challenge. So pretty! https://www.ravelry.com/discuss/down-cellar-studio-podcast/4375943/951-975#954 There's been a lot of conversation in the January huddle about laundry…yep, you heard that right. It's actually pretty fascinating. I've learned a lot. But whether you are into laundry or not, come on over to the friendliest place on the internet before the PSP is over! Events New England Farm & Fiber Festival- Sunday February 8 from 10a-4p in Boston, MA Fiberfest at the Boston Public Market- March 21 & 22nd from 10a-5p in Boston, MA Fiber Witch Festival- April 24-26th in Salem, MA NH Sheep and Wool - May 9 & 10 in Deerfield NH Life in Focus 26 in 2026 List A-Aim for one night at week at the pool in July and August- make it regular and invite friends to pop over B- Blood- donate at least 5 times C- Christmas Sleepover D- Declutter 26+ items E- Events- go to at least 26 ticketed events F-Find 2-6 new things and try them out! G-Go on a trip with Dan (just us) H- Headshots for Hattie I- Isabella Stewart Gardner Museum- GO! J- Journal- Write 365 entries in my I Remember Journal about Mom (inspired by Liz Craft who talked about it on Ep 451 of Happier in Hollywood podcast) K- Knit at least 2 projects with handspun L- Literary pursuit- read at least 65 books M- Museum- go to at least 1 N- NYC- go visit Laura at least once O- Organize a FearLESS Living Fundraiser P- Puzzle- do at least 1 with Dan Q-Quarterly review of calendar/photos & goals (to make Year in Review easier and faster)- calendar it! R- Restaurant- try at least 1 new local restaurant S- Socks- knit 26 pair T- Tattoo U- Up the amount of muscle in my body- at least 1 pound by end of the year. V- Vlogmas- take the year off (even if you're tempted) W- Wheel- sit down at my spinning wheel every month (put reminders on my calendar at the beginning of each month to help remind me) X- Cross 1 thing off this list that no longer serves me Y-Yoga at least 2-6 times Z- Create Zone to keep important papers 2026 Word of the Year: Fresh (think: fresh start, fresh foods, fresh powder, fresh air, etc new & therefore interesting or exciting recently made, done etc & especially not yet changed by time in a natural condition rather than artificially preserved by a process such as freezing clean and pleasant energetic, enthusiastic, and not tired: (of a face) natural, healthy, and young looking (of air) clean and cool; found outside rather than in a room: recently done On a Happy Note Wonder at ART- extended through 2/5. Check out their website for tickets. Sound of Music at the Boston Opera House Game night with Liz, Jay, Riley and Dan. A snowy slow MLK weekend. Car shopping. I've been able to hack 3 classes a week at my gym. A cold walk with Megg at Wompatuck. A cute message about Miles enjoying his Christmas gifts- "emotional support calendar" A pipe broke while I was washing woolies on Sunday during snowstorm. Silverlining was that Dan had the part we needed on hand and was able to fix it so quickly. Quote of the Week "Happiness is a butterfly, which when pursued, is always just beyond your grasp, but which, if you will sit down quietly, may alight upon you." -Nathaniel Hawthorne ---- Thank you for tuning in! Contact Information: Check out the Down Cellar Studio Patreon! Ravelry: BostonJen & Down Cellar Studio Podcast Ravelry Group Instagram: BostonJen1 YouTube: Down Cellar Studio Facebook: https://www.facebook.com/downcellarstudio Sign up for my email newsletter to get the latest on everything happening in the Down Cellar Studio Check out my Down Cellar Studio YouTube Channel Knit Picks Affiliate Link Bookshop Affiliate Link Yarnable Subscription Box Affiliate Link FearLESS Living Fund to benefit the Blind Center of Nevada Music -"Soft Orange Glow" by Josh Woodward. Free download: http://joshwoodward.com/ Note: Some links are listed as Amazon Affiliate Links. If you click those, please know that I am an Amazon Associate and I earn money from qualifying purchases.
This week I'm calling out something I'm seeing everywhere right now in the online business world, and honestly, it's feeling like an epidemic. Coaches are hearing they should differentiate themselves by being vulnerable, so they're sharing their struggles, their breakdowns, their trauma in real time. And look, it works at first - engagement goes through the roof, people respond, you feel seen. But here's the problem: they end up building their entire brand around their worst moments. Every post becomes a wound on display. And then they can't figure out why they're attracting clients who are drowning, not clients who are ready to actually do the work and move forward. When your brand is built on unprocessed trauma, you're positioning yourself as a peer in struggle rather than a guide through it, and that fundamentally undermines your authority.There's a massive difference between real vulnerability and performance vulnerability. Real vulnerability is when you're sharing something you've processed and metabolised. You're offering wisdom, not an open wound. It feels clean because you're not searching for validation, you're genuinely serving your audience's transformation. Performance vulnerability? That's when you're sharing trauma because it gets clicks and comments, when you're still in it and you need people to tell you you're brave. It's extractive, not generous. So here's my invitation: stop sharing trauma in real time, audit your content to see how much centres on pain rather than insight, and reposition your brand around transformation instead of empathy. The people who truly value you don't need you to perform your pain, they value your wisdom, your authority, your frameworks because you're on the other side and can show them the way. Mentioned in this episode: This is the LinkedIn post I mention about my late husband: https://www.linkedin.com/posts/gillmoakes_its-7-years-ago-today-that-my-husband-phill-activity-7143208724856270849-BFL-?utm_source=share&utm_medium=member_desktop&rcm=ACoAACuEtlUBCBw8uMiKIFcrgf3Kt-Gpw6nq80o If you'd like to explore working together, book a call with me here: https://go.oncehub.com/alignment-call
Thank you for tuning in to Episode 312 of the Down Cellar Studio Podcast. Full show notes with photos can be found on my website. This week's segments included: Off the Needles, Hook or Bobbins On the Needles, Hook or Bobbins Brainstorming Knitting in Passing From the Armchair KAL News Events Contest, News & Notes Life in Focus On a Happy Note Quote of the Week Off the Needles, Hook or Bobbins Sheri's Christmas Socks Yarn: Gusto Wool Echos in Colorway 1515 (blue to purple gradient in 2-50g skeins) Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Ravelry Project Page Gus the Dino Pattern: Gus the Dino by KP Crochet Patterns. $8.50 US Pattern on Etsy (on sale right now) Yarn: Bernat Blanket in Misty Green & Parfait Chunky in White Hook: J (6.0 mm) Ravelry Project Page I got 35 mm eyes from Amazon Very Hungry Caterpillar Socks Yarn: Teal Torch Knits Splendid Sock (100% SW Merino) in the Emerald Colorway, Murky Depths Deep Sock in the Age of Aquarium Colorway & Legacy Fiber Artz Steel Toes in the Vanilla Bean colorway Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) and US 2 Ravelry Project Page The first sock is a colorwork leg sock with things the Very Hungry Caterpillar I measured from another socks- 12 rounds per inch. Goal is a 5 inch leg (after cuff), so ~60 rounds Cast on 56 sts with US 1.5 for cuff. After cuff, knit a few rounds before doing 4 sets of increases (4 increases each time) to get to 72 sts. Then changed to US 2 needles and tested for stretchiness after first block of colorwork. Using that I plotted out the colorwork for one sock based on Pacific Knit Co's Garden Doodle set. The second sock is has 12 round stripes of the 2 green colorways with a red toe to look like the caterpillar. Miles Penguin Pattern: Penguin by Lion Brand Yarn- free crochet pattern on the Lion Brand website Yarn: Knit Picks Brava Worsted minis in Black, Clarity, White and Orange colorways Hook: C (2.75 mm) Ravelry Project Page For this one I used two black circles bordered by white so I could skip the safety eyes (Miles is under 2 years old). Dirty Crayon Box Socks Yarn: Fiber Stash Strong Toes Sock (80% SW Merino/ 20% Nylon) in the Dirty Crayon Box Colorway Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Ravelry Project Page I started these socks in October 2024 and finished on January 5, 2026 On the Needles, Hook or Bobbins Woolens & Nosh 2025 Advent Socks Yarn: Woolens & Nosh, 75/25 Superwash Wool/Nylon 2025 Advent Colorway Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Ravelry Project Page Kirby Wirby 2025 Advent Socks Yarn: Kirby Wirby 75/25 Superwash Merino/Nylon in the 2025 Advent Christmas Toys from the 80s 24 Stripe Colorway Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Ravelry Project Page Yarn theme: Christmas Toys from the 80s Traveler Sweater Pattern: The Traveler by Andrea Mowry ($9 pattern available on Ravelry & the designer's website) Yarn: Hazel Knits Small Batch Sport (90/10 SW/Nylon) in a sage green Needles: US 3 (3.25 mm) & US 4 (3.5 mm) Ravelry Project Page Progress: finished the first sleeve and I'm at the cuff of the the second. Pucker Brush Farm BFL Sweater Spin Fiber: 16 oz of multi colored BFL roving from Pucker Brush Farm (purchased at Rhinebeck 2025), 4 oz Merino in a mustard color Ravelry Project Page I am planning to knit a Traveler sweater inspired by Emily Curtis' handmade version- click here for her Ravelry Project Page. I was thrilled to see a recent post on Emily's Instagram that she made a YouTube video about this spin/knit. I found 4oz of Ironwood Hill Farm Roving- Finnsheep combed top that I purchased in April 2021. Unfortunately I can't find more of this on Cece's Wool site or Ironwood's etsy shop, but I think it will give me the idea for a tan/brown color plied with the colorful yarn, so I spun enough to make a sample yarn to swatch with. Brainstorming Crochet Ski Helmet Balaclava available on Etsy for $7.36 Knitting in Passing Millie finished the hat she was knitting for her dad with yarn from Plied Yarn Co. Aila loved her goose purse! Her reaction was priceless Eme loved their Very Hungry Caterpillar socks My dad bought me a set of 2 organizers for socks. Each holds 30 pair. Great for my handknits. They sit on the shelf in our closet and are a gray cotton/linen that matches our hampers! Here's an Amazon Affiliate Link in case you're interested in checking them out. From the Armchair The Correspondent by Virginia Evans. Amazon Affiliate Link. Tilt by Emma Pattee. Amazon Affiliate Link. Note: Some links are listed as Amazon Affiliate Links. If you click those, please know that I am an Amazon Associate and I earn money from qualifying purchases. KAL News Pigskin Party '25 Event Dates: KAL Dates- Thursday September 4, 2025- Monday February 9, 2026 Find everything you need in the Start Here Thread in the Ravelry Group Official Rules Registration Form (you must be Registered to be eligible for prizes) Enter your projects using the Point Tally Form Find the full list of Sponsors in this Google Doc. Coupon Codes are listed in this Ravelry Thread Exclusive Items from our Pro Shop Sponsors are listed in this Ravelry Thread Questions- ask them in this Ravelry Thread or email Jen at downcellarstudio @ gmail.com Updates In This Episode Official Sponsor for Quarter 3 (December)- Suburban Stitcher Mini Maker's Merry Month See details in this Ravelry Thread. Winner announced Official Sponsor for Quarter 4 (January)- Yarnaceous Fibers. Check out this Ravelry Thread for 4th & Goal with Yarnaceous Fibers Challenge Details December Participation Winners Announced Wild Card WIP Bonus- check out this Ravelry thread for details Commentator Update Happy new year pigskin partiers! The January huddle is abuzz with conversation. Several players have posted a list of everything that they made in 2025. We have some really prolific players in the group! The best thing about the conversation is that no one is competitive about it. Just lots of celebrations! I find it kind of inspiring to see what others have accomplished. For example, hikesandbikes finished 54 knitted knockers! What a great cause! It inspires me to try knitting some this year. Come on over and join the chat if you want to get inspired too! A few players have decided that they want to make sweaters in 2026. If you want to join in the fun, hop on over to a new Sweater MAL thread: https://www.ravelry.com/discuss/down-cellar-studio-podcast/4390076/1-25 Another interesting topic of conversation in the January huddle stemmed from the unfortunate injury of one of our players. Sadly, she sprained her wrist. The group came through with lots of ideas for what to do when you can't knit and crochet, including needle felting, doing puzzles, watercolors, playing with art supplies, journaling and as MrsQuilt put it, "whining, reading, and actually paying attention to what is on the TV" I am wishing you all health, happiness, and strong crafting mojo in the new year! Mary Events Farm Fiber Days at Russell's Garden Center- January 18th & March 8th in Wayland, MA Sunkissed Fiber Festival: January 24-25, 2026- just outside Tampa, FL New England Farm & Fiber Festival- Sunday February 8 from 10a-4p in Boston, MA Fiber Witch Festival- April 24-26th in Salem, MA Contest, News & Notes Check out my Vlogmas videos if you haven't already- click here for the full playlist. Thanks to Nellsknitting for starting a thread in the Ravelry Group about a Sweater KAL 2026. (Danielle in MA)- great chatter about WIPs, planning etc. Want to cast on and need some encouragement? check it out. Life in Focus In this episode I reviewed my 2025 word of the year and 25 in 25 list. My Word of the Year for 2025: Welcome 25 in 2025 Donate Blood at least 4 times (January, March, May, Sept) Go shopping for plants with Dan 4 times in the year (my Christmas gift from him) Buy new ski boots Go camping (scheduled for June) Kayak 2-5 times (Saco- 2 days) Do at least 5 walks with others (Megg 3/30) bike riding with Dan twice in March. Walked with Megg (April), hike Mount Monument (Dan, Megg, Tom, Aila), Laura in 2 National Parks in Washington State Take 2-5 yoga classes (outside of the house)--- option- https://balancestudiocohasset.com/book-a-class/ Do at least 30 lessons in Mondly (had 25 done in 2024)- does not include daily lessons Spend a day at Raffa Life- September 21 with Laura and Megg Record 2-5 things I'm grateful for each day before bed (more days than not counts)- fallen off. Read all of Simple Abundance (ideally daily or close to)(10) Read at least 60 books- all books count (even poetry etc) Get at least 2 massages at Oasis (1 in April, 1 in June, 1 in September) See 2-5 movies in the theater (Paddington in Peru, The Long Walk, Blue Moon, Wicked for Good) Knit 2-5 garments for me (Aurealis - WIPs-Monsoonee Sweaters, granny stripe tank, Bayside tank) Granny tank, Bayside Shirt Finish and enjoy my Christmas Granny Square Blanket Crochet at least 5 toys (1: hedgehog 2& 3: Love Bugs, 4 pop-tart, 5 butterfly- another butterfly WIP, and TRex) Use my spinning wheel at least once a month (Jan, Feb & March, April, July, August, September, Oct, Nov (forgot May & June) Have a crafty day with Emelie Knit a slouchy hat for myself Try out 3 new to me podcasts (Conan O'Brien Needs a Friend, White Lotus official podcast, severance official podcast, Cramped) Watch White Christmas with Jenny & Kara (bringing the tradition back) Buy a firebox and put important papers inside (working with Dan on list of things to put in it) https://www.thenokbox.com (Debbie, deafelis recommended) Create a list of things to pack in case of an evacuation https://www.thenokbox.com/ -deafelis- Debbie told me about it Purge at least 20 items of clothing/accessories/shoes On a Happy Note Dad's knee replacement was a big success! I stayed with him from December 5-21. Dad and I had a lovely visit from our friend Merry who came with an unexpected gift- a bracelet with beads made from my mom's funeral flowers in red (ruby slipper), yellow (yellow brick road) and white for home. Dan and I had a lovely double date night at the Irish pub with friends. I was able to see my 7 year old niece Hattie as Gretl in Sound of Music (twice!!!) Making Aunt Milly's cookies with Riley and Millie (and having a sleepover with them). Christmas Eve & Christmas Day were both lovely. Definitely different without my Mom and grandmother there but it was still a joy to be together. Our friend Gail joined us as she usually does and brought all sorts of fun games for us to play. The Sunday after Christmas, I was able to spend all afternoon with my grandmother, some of that alone. My friend Megg came over because she wanted to visit and say goodbye. We had dinner together after. My friend Laura came in for NYE. Small get together with friends at my Dad's turned into a real party, though most didn't stay until midnight. Megg wanted it to be a sparkly kind of night so Laura and I got outfits for the three of us at the consignment shop on the way over! Very silly fun. My cousin Mike and his husband Kyle came up from Florida. My grandmother's services were beautiful with contributions from lots of family members. While it was more stressful than mom's, and it was the worst form of deja vu having the same schedule for that exact same Thur/Fri two years in a row- my grandmother would be happy with how it all turned out. Skiing on Saturday after the funeral. 7 of us, impromptu trip, icy conditions but we still had a blast. Quote of the Week "Amidst the normal hard stuff is the abnormal hard stuff. You may be doing great, but no one great always had it great. At the end of each day, as you prepare for the next, I hope you take an inventory of your life, your thoughts and where you're headed. The wind can take you some cool places, but so can your paddle." ― Richie Norton ------ Contact Information: Check out the Down Cellar Studio Patreon! Ravelry: BostonJen & Down Cellar Studio Podcast Ravelry Group Instagram: BostonJen1 YouTube: Down Cellar Studio Facebook: https://www.facebook.com/downcellarstudio Sign up for my email newsletter to get the latest on everything happening in the Down Cellar Studio Check out my Down Cellar Studio YouTube Channel Knit Picks Affiliate Link Bookshop Affiliate Link Yarnable Subscription Box Affiliate Link FearLESS Living Fund to benefit the Blind Center of Nevada Music -"Soft Orange Glow" by Josh Woodward. Free download: http://joshwoodward.com/ Note: Some links are listed as Amazon Affiliate Links. If you click those, please know that I am an Amazon Associate and I earn money from qualifying purchases.
On this episode of The Bogota Boys we are pleased to have Mr Andy Morgan and Billy Schroeder on the podcast. These guys are what true outdoorsman are all about. Andy is still traveling the country chasing whitetails, and Bass but they both have had very successful careers in professional bass fishing with Andy having 3 angler of the year titles and the most top 10s. Billy has 19 BFL wins and tons of top 10 finishes also. Just like the passion for fishing, Andy and Billy love waterfowling and sure put in the work to be great at it. We hope you enjoy listening to how they made it to Bogota!
We're back together after head colds and busy lives delayed recording. We have lots to catch up on including project updates and upcoming adventures. Full notes with photos and links can be found in the podcast section of our shop website: TwoEwesFiberAdventures.com Join the community on Ravelry or become a patron and support the show on our Patreon Page. Subscribe on Apple Podcasts or Subscribe on Android. Marsha's Projects Mountain High: Finished! Heidi Kirrmaier. Used my handspun Flowers From My Garden. Socks: Using The Humming Bird Moon Full Moon BFL Sock in the colorway Eye of Newt. Finished first sock. Sheridan Flats Spinning: Purchased 24 oz of 80/15/6 wool/mohair/silk roving in the colorway Kaleidoscope. The owner said to spin at a worsted weight for best results. Mill is Olympic Yarn & Fiber located in Cosmopolis, WA. Plied three singles but somehow I over plied it. Rag Rugs: Warped loom in 4" and 6" stripes in royal blue, green, and orange. Cut three colors of fabric strip so far and started weaving. Nicholas Slouch Hat: by Kyle Kunnecke. Using Sincere Sheep Terroir worsted in rust and Full Circle Wool worsted in natural cream. Bought Sincere Sheep at Stitches in 2017 and Full Circle Wool at Navarro Winery near Mendocino, CA. The wool is from the sheep that keep weeds down between the vines. Weaving Studio: It's a work in progress. Garden Redesign: I've created a project page. Novus Knit Pouch I will be in Oaxaca, Mexico on a fiber tour called Color Explosion of Oaxacan Culture and Folk Artists with Rowan Tree Travel. Kelly's Projects Chenille Rugs Part 2 Finished tying on the warp and started weaving the second pad of chenille . Planning for two rugs again. Continuing my Sleeveless Vest by Lone Kjeldsen with handspun from Jazzman's " perfect fleece." Started the front yoke but haven't gotten to the horizontal stitch yet. Three more hats finished. The mostly handspun one went to my niece's boyfriend for Christmas. The other is a charity hat. The third is still on the needles and is also made of handspun. A darker BFL that was overdyed blue, red, and yellow. Can't recall the dyer, but I bought the braid at the Stitches in Sacramento. Winter Weave-a-long Now through March 31 Home-A-Long Ends December 31st.
Thank you for tuning in to Episode 309 of the Down Cellar Studio Podcast. Full show notes with photos can be found on my website. This week's segments included: Off the Needles, Hook or Bobbins On the Needles, Hook or Bobbins Brainstorming From the Armchair Crafty Adventures Knitting in Passing In my Travels KAL News On a Happy Note Quote of the Week Thank you to this episode's sponsors: Fibernymph Dye Works & Imagined Landscapes Off the Needles, Hook or Bobbins Gary's LeHigh Hat Pattern: Turn a Square by Jared Flood. $5 knitting pattern available on Ravelry & Brooklyn Tweed Site Yarn: Cesium Yarn Strong DK ( 75% SW Merino/25% Nylon) in the One More Sleep Colorway Needles: US 5 (3.75 mm) & US 7 (4.5 mm) Ravelry Project Page Project Notes & Mods: did not increase after ribbing as called for. Knit 7 inches before working decreases. I used 52g of yarn and have 56g remaining so I can make another hat with this yarn. Gary's Delaware Hat Pattern: Turn a Square by Jared Flood. $5 knitting pattern available on Ravelry & Brooklyn Tweed Site Yarn: Robin's Promise Yarn Co, Two Birds in the Hand (DK 4ply 100% SW Merino) in the White-Tailed Robin Feather Colorway Needles: US 5 (3.75 mm) & US 7 (4.5 mm) Ravelry Project Page About the Yarn- purchased Rhinebeck Weekend at CAKEpalooza. Its a mostly solid royal blue. This project is living in my new Stitched by Jessalu Rhinebeck 2025 bag. I think this will be my fall/winter hat project and I'll just keep the needles in here and keep replacing the yarn. Yarn Cozy Lite Yarn: Cascade Heritage Yarn (75% SW Merino 25% Nylon) in the Highlighter Guava colorway Pattern: Yarn Cozy Lite by Knitty Natty- $6 pattern available on Ravelry Needles: US 1 (2.25 mm) Ravelry Project Page Natalie's video support for the stretchy i-cord bind off is great. Vivienne's Christmas Stocking Pattern: Christmas Stockings to Knit and Crochet from Family Circle Magazine. Available in this web archive link. I've also saved it to my podcast Gmail Google Drive in case it disappears! Yarn: Red Heart Super Saver in Cherry Red, Hunter Green and White Hook: G (4.0 mm) On the Needles, Hook or Bobbins Pucker Brush Farm BFL Sweater Spin Fiber: 16 oz of multi colored BFL roving from Pucker Brush Farm (purchased at Rhinebeck 2025), 4 oz Merino in a mustard color Ravelry Project Page I am planning to knit a Traveler sweater inspired by Emily Curtis' handmade version- click here for her Ravelry Project Page. I was thrilled to see a recent post on Emily's Instagram that she made a YouTube video about this spin/knit. I found 4oz of Ironwood Hill Farm Roving- Finnsheep combed top that I purchased in April 2021. Unfortunately I can't find more of this on Cece's Wool site or Ironwood's etsy shop, but I think it will give me the idea for a tan/brown color plied with the colorful yarn, so I'll spin just enough to make a sample yarn-- but this Finn is spinning like a dream. Where could I get more? Send suggestions my way Spectrum Socks Yarn: Woolens & Nosh Targhee Sock in the Spectrum Colorway Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Ravelry Project Page About the colorway- skinny stripes of color with 1 round of black between. Colors include Red, Orange, Yellow, Green, 3 shades of Blue, Pink + Purple. Progress: I've passed the heel on the first sock Game Day Party Socks Yarn: Mandi's Makings SW Merino Fingering Weight Yarn in the Pigskin '25 Exclusive Game Day Party Colorway. Green mini skein for heel from Goosey Fibers (Wizard of Oz Advent Calendar yarn) Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Ravelry Project Page Yarn: Pigskin '25 Exclusive- 60 points Progress: First sock done. Onto the leg of the second sock. Hattie knit on them at her uncle's birthday party. Traveler Sweater Pattern: The Traveler by Andrea Mowry ($9 pattern available on Ravelry & the designer's website) Yarn: Hazel Knits Small Batch Sport (90/10 SW/Nylon) Needles: US 3 (3.25 mm) & US 4 (3.5 mm) Ravelry Project Page Sleeve progress- knit a few more sets of decreases on the first sleeve. Still have a second sleeve to go and the whole hood. Focusing a bit more on Christmas gifts coming up so this one will be taking a backseat. Brainstorming Queen Elsa Amigurumi by Chiara Cremon. Free crochet pattern available on Ravelry. You can find lots of cute character patterns on her Instagram account. Zach- maybe something spiderman From the Armchair Heart the Lover by Lily King. Amazon Affiliate Link. Check out the October Book Club Episode of the Bad on Paper Podcast where they talk about this book. Sandwich by Catherine Newman. Amazon Affiliate Link. Three Days in June by Anne Tyler. Amazon Affiliate Link. Note: Some links are listed as Amazon Affiliate Links. If you click those, please know that I am an Amazon Associate and I earn money from qualifying purchases. Crafty Adventures During Gabriella & Zachary's sleepover we pained and made plastic ornaments with spiraled pipe cleaners inside. So cute and easy! Knitting in Passing A cute preteen girl came over when I was crocheting on the train to ask what kind of hook I was using and then asked if I was making a stocking for Christmas. I asked if she crocheted. She said yes but didn't offer more. When she went back to the grown up she was with, they gave her a big high five. So cute. Then the gentleman across from me who saw me counting rows then asked what happened if I lose count. Told him I could read the stitches. He congratulated me onto who new addition to our family. In My Travels I shared highlights from a recent trip to New York City. I spent a wonderful morning at the MET Aida Silvestri- artist from Eritrea who had a triptych of pieces on display. Her work is motivated by social concern, but it also explores the camera's ability to connect people to a place. In these portraits of immigrant women, the artist strategically blurs her subjects' faces. This gesture, born of a need for protective anonymity, seems to evoke a greater enigma of the self. Mapping the course of migration to London are lines of thread stitched into the surfaces of the print- permanent, identity-altering interventions. Silvestri regards her series as a documentary project dedicated to those travelers who never reached their destination. Two embroidery samplers from Bostonian women from the late 1700s that were just beautiful. We visited the Chelsea Flea- I got a cool pair of earrings We got cookies from Levain Bakery We made a quick trip to Knitty City and Laura picked out yarn for a hat Musical- Two Strangers Carry a Cake Across New York We also saw Blue Moon at the movies. Tells the story of Lorenz Hart's struggles with alcoholism and mental health as he tries to save face during the opening of "Oklahoma!". KAL News Pigskin Party '25 Event Dates: KAL Dates- Thursday September 4, 2025- Monday February 9, 2026 Find everything you need in the Start Here Thread in the Ravelry Group Official Rules Registration Form (you must be Registered to be eligible for prizes) Enter your projects using the Point Tally Form Find the full list of Sponsors in this Google Doc. Coupon Codes are listed in this Ravelry Thread Exclusive Items from our Pro Shop Sponsors are listed in this Ravelry Thread Questions- ask them in this Ravelry Thread or email Jen at downcellarstudio @ gmail.com Check out this Ravelry Thread with helpful tips for the event, crowd sourced from our incredible players. Updates In This Episode Our Official Sponsor for Quarter 1 (October): Love in Stitches with Knitty Natty- Winner Announced julicorn.makes made a Maxine Hot Water Bottle Cozy by Laura Penrose (fair isle snowflakes)- Ravelry Project Page MrsZoom made Knitty Natty's Yarn Cozy Lite with the new football exclusive pattern in Colts colors- Ravelry Project Page Random number generator chose yesthatshelby as our winner! Pink Challenge is over- details in this Ravelry Thread. Winner Announced! CinderGA made Defying Gravity Socks by Lisa Ross- Paper Daisy Creations- Ravelry page Wizabef knit the Elinor Mittens by Irene Nielson- Ravelry Project Page Random number generator picked Alice Ortega who knit the Barn Swallow Socks by Cheryl Toy- Ravelry Project Page Count On It Challenge hosted by Twice Sheared Sheep, Official Sponsor for Quarter 2 (November). Details in this Ravelry thread. Official Sponsor for Quarter 3 (December)- Suburban Stitcher Details announced. See details in this Ravelry Thread. Stay tuned for more about our Official Sponsor for Quarter 4 (January)- Yarnaceous Fibers Charity Challenge (runs through Thanksgiving)- details in this Ravelry Thread (36 of you have already asked for the address to mail in items! THANK YOU). Please email me to request the address. Commentator Update (links in this section go to Ravelry) Quarter 2 is in full swing and, when I looked today, 9 players had already submitted for points for the Q2 challenge! Are you still thinking of what you can make that is at least 60 rows, using a row counter? Here are some ideas! Hats! Many of our early Q2 finishers completed hats. Neferetri, Hollyelyse and Janknitdun completed beautiful cabled hats...I bet the row counter came in handy for those projects! Kimbuktu7 completed a lovely colorwork hat Adrie9 completed a lovely two colored musselburgh hat Neckwear is also a popular choice among our early Q2 finishers Mikkaelab completed a lovely crocheted cowl and a knit bandana! Sandyrlevin also completed a cowl in steelers colors (note--she used a pattern by PSP Knitty Natty too)--Way to rack up those points! There's still plenty of time for you to get your projects in for Q2. These finishers have definitely demonstrated that there are plenty of patterns with at least 60 rows that work up in a flash! PepperRN added in Pigskin Party Tips Thread on Ravelry If you are budgeting but still want to support sponsors buy something re usable. Stitch markers can be used in 1 project and then when finished in the next. I like knitting hats for charity so I bought a hat pattern from a sponsor. I put that pattern with a sponsor bag and sponsor stitch markers and can knit it over and over during the PSP. On a Happy Note New York City! I took the train this time which was a great option. Laura and I had dinner with two of her pilates clients. We all enjoyed Gabriella and Zachary's first sleepover. We watched the KPOP Demon Hunters movie and after going to bed early and reading the Hot Air Balloon book, wehad fun hunting for the orange eyed monster! Dan made the kids pancakes and we'll put their photos on the collage wall in the guest room. Gabriella asked for a unicorn and a ghost Spiderman. Zach wanted Spiderman. I received a really nice message from my cousin Gayle who was visiting her friend in NH and let me know that Mom's shawl that she chose was keeping her warm. Love you Gayle! My childhood friend Maribeth has shared a few photos of things her family has found when cleaning out her parents' attic- costumes and things my mom made. It was sweet of her to send me those photos so we could reminisce. I finally got to join Beth's Karaoke Night Zoom (part of the Love in Stitches Membership). Dad is recovering from a back injury but doing better. We successfully moved my grandmother into the Memory Care side of the independent living home she's lived at for 5 years. Hope this will be a good fit for her. I got a massage this week! Quote of the Week "In November, the earth is growing quiet. It is making its bed, a winter bed for flowers and small creatures. The bed is white and silent, and much life can hide beneath its blankets." ― Cynthia Rylant, In November ------ Thank you for tuning in! Contact Information: Check out the Down Cellar Studio Patreon! Ravelry: BostonJen & Down Cellar Studio Podcast Ravelry Group Instagram: BostonJen1 YouTube: Down Cellar Studio Facebook: https://www.facebook.com/downcellarstudio Sign up for my email newsletter to get the latest on everything happening in the Down Cellar Studio Check out my Down Cellar Studio YouTube Channel Knit Picks Affiliate Link Bookshop Affiliate Link Yarnable Subscription Box Affiliate Link FearLESS Living Fund to benefit the Blind Center of Nevada Music -"Soft Orange Glow" by Josh Woodward. Free download: http://joshwoodward.com/ Note: Some links are listed as Amazon Affiliate Links. If you click those, please know that I am an Amazon Associate and I earn money from qualifying purchases.
Thank you for tuning in to Episode 308 of the Down Cellar Studio Podcast. Full show notes with photos can be found on my website. This week's segments included: Off the Needles, Hook or Bobbins On the Needles, Hook or Bobbins From the Armchair In my Travels KAL News Events Life in Focus On a Happy Note Quote of the Week Thank you to this episode's sponsors: Stitched by Jessalu, Suburban Stitcher, The Wandering Purl & agirlandherwool Off the Needles, Hook or Bobbins Born to Be Mild Socks Yarn: Hypnotic Yarn Plush Sock in the Born to Be Mild Colorway Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Ravelry Project Page Granny Square Chicken Yarn: Knit Picks Felici Worsted in the Palm Springs Colorway Pattern: Granny Square Chicken by Sweet Softies- $3.99 crochet pattern on Ravelry. Hook: G (4.0 mm) Yarn- self striping with cream, rust, peach, dusty pink, dusty orange. I didn't change color between rounds- I just let the self striping yarn do its thing. I used an organza bag to put the polyfill in. Put the tortoise shell glasses I bought at Another Yarn on her but they're a little big. Essex Beanie Pattern: Essex Beanie by Justine Walley (AlyseCrochet). $5 crochet pattern available on Ravelry Yarn: Berroco Ultra Wool in colorway 3361 Kale (used 68g/ 148 yards for the hat, before the pom pom) Hook: I (5.5 mm) Ravelry Project Page On the Needles, Hook or Bobbins Sheri's Christmas Socks Yarn: Gusto Wool Echos in Colorway 1515 Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Needles: US 1.5 (2.5 mm) Ravelry Project Page I cast this on to bring to Rhinebeck on my Lemonwood Mini Minder (I have this Art Deco one) so I could walk and knit. Traveler Sweater Pattern: The Traveler by Andrea Mowry ($9 pattern available on Ravelry & the designer's website) Yarn: Hazel Knits Small Batch Sport (90/10 SW/Nylon) Needles: US 3 (3.25 mm) & US 4 (3.5 mm) Ravelry Project Page Body was done and seamed before I left for Rhinebeck but I had to rip back the sleeve twice because I mis-read the instructions. Finally on track now. Yarn Cozy Lite Yarn: Cascade Heritage Yarn (75% SW Merino 25% Nylon) in the Highlighter Guava colorway Pattern: Yarn Cozy Lite by Knitty Natty- $6 pattern available on Ravelry Needles: US 1 (2.25 mm) Progress: I have about 1 inch of knitting left. Game Day Party Socks Yarn: Mandi's Makings SW Merino Fingering Weight Yarn in the Pigskin '25 Exclusive Game Day Party Colorway. Green mini skein for heel from Goosey Fibers (Wizard of Oz Advent Calendar yarn) Pattern: OMG Heel Socks by Megan Williams ($5 knitting pattern available on Ravelry) Ravelry Project Page Pucker Brush Farm BFL Sweater Spin Fiber: 16 oz of multi colored BFL roving from Pucker Brush Farm (purchased at Rhinebeck 2025), 4 oz Merino in a mustard color Ravelry Project Page I am planning to knit a Traveler sweater inspired by Emily Curtis' handmade version- click here for her Ravelry Project Page. I was thrilled to see a recent post on Emily's Instagram that she made a YouTube video about this spin/knit. Emily made a 2-ply where Gary's LeHigh Hat Pattern: Turn a Square by Jared Flood. $5 knitting pattern available on Ravelry & Brooklyn Tweed Site Yarn: Cesium Yarn Strong DK ( 75% SW Merino/25% Nylon) in the One More Sleep Colorway Needles: US 5 (3.75 mm) & US 7 (4.5 mm) Ravelry Project Page From the Armchair The Names by Florence Knapp. Amazon Affiliate Link. Note: Some links are listed as Amazon Affiliate Links. If you click those, please know that I am an Amazon Associate and I earn money from qualifying purchases. In My Travels Rhinebeck 2025 Friday Highlights: Seeing Kacey of Kacey Knits in person at Indie Untangled Seeing Maggie of Yarnaceous Fibers, Emily of Fan Girl Fibers & Jamie of Pacific Knit Co Seeing Christy of Yarn Cafe Creations (she signed up as a Snack Shack Sponsor and donated a skein of yarn)- she also had these cool trinket dishes. I bought 3 for gifts! Love them. Of Dust and Dew had beautiful pottery. I waited too long and didn't get the chicken vase I had my heart set on. It was my first time at A Woolen Affair. Ran into Lori & Justine of Skein Yarn Shop in RI & co-hosts of the Skein Scoop Podcast on Youtube. and their friend Hope of Hope Made Yarn Co. I was thrilled to bump into friend Sarah- themartiniknitter and Katie from Twice Sheared Sheep They had a beautiful art installation called Tributary- "A collective art installation as a celebration of community, creativity and collective power." Saturday & Sunday Highlights: Saturday- we met up with our friend Lauren (lbeth21) and we spent the day together. Lauren kindly gifted me two bars of her homemade soap. Check out her Instagram- Happy Cat Suds (website coming soon) One our first stops was to see Jess and Roger of Stitched by Jessalu. It was an emotional visit and we didn't get a photo together. Across the barn, we saw Beth (mdquilter) along with Pigskin Sponsor Kim Shaffir. 2p Meet-up: Thank you to everyone who came out. Sunday morning we started with breakfast at a diner before heading to the fairgrounds. We made it over to see Amy of Ross Farm. I ran into Hope again and she gifted me a beautiful sock set from her yarn store-Hope Made Yarn Co. Sunday we left around 3/3:30p drove through Saugerties to get dinner so we popped into The Perfect Blend yarn store before we ate. KAL News Pigskin Party '25 Event Dates: KAL Dates- Thursday September 4, 2025- Monday February 9, 2026 Find everything you need in the Start Here Thread in the Ravelry Group Official Rules Registration Form (you must be Registered to be eligible for prizes) Enter your projects using the Point Tally Form Find the full list of Sponsors in this Google Doc. Coupon Codes are listed in this Ravelry Thread Exclusive Items from our Pro Shop Sponsors are listed in this Ravelry Thread Questions- ask them in this Ravelry Thread or email Jen at downcellarstudio @ gmail.com Updates In This Episode Our Official Sponsor for Quarter 1 (October): Love in Stitches with Knitty Natty is hosting a Cozy Up Challenge. Check out the details in this Ravelry Thread. Remember, projects need to be finished by 10/31 but you can enter for points until 11/5/25. Official Sponsor for Quarter 2 (November)- Twice Sheared Sheep is hosting the Count On It Challenge. Details in this Ravelry thread. Official Sponsor for Quarter 3 (December)- Suburban Stitcher (minis will be involved) Official Sponsor for Quarter 4 (January)- Yarnaceous Fibers Charity Challenge (runs through Thanksgiving)- details in this Ravelry Thread (21 of you have already asked for the address to mail in items! THANK YOU). Please email me to request the address. Pink Challenge (runs through 10/31)- details in this Ravelry Thread. Commentator Update There's been a lot of activity in the huddle thread recently. Players have been discussing a range of interesting topics such as: * strategy for shopping at fiber festivals, which was partially inspired by Rhinebeck but certainly applies to any festival * suggestions for patterns to use up mini-skeins * recommendations for cruises * board game recommendations * how to balance manicures with crafting time * ideas for handmade gifts for someone going into memory care * and what to do when you've simply lost interest in a project As usual, if you can't keep up--just jump in! I also wandered over to the endzone dance thread today. Unsurprisingly, there are a lot of pink projects, cozies, and pink cozies! But players have also recently finished a few Halloween themed projects Links below go to Ravelry: * Karen805 finished a Spiders in the House MKAL Shawl that is super cool! It even includes a colorwork spider motif! *Chiamira finished a Halloween Party Cowl that is all over colorwork and includes cats dressed up like pumpkins! * Cbass and Adrie9 finished Gnettle and Gnumpkin gnomes (from sponsor Imagined Landscapes) * and following up on a previous report, Sandima finished the Wednesday costume for her porch goose...so cute! I am always amazed by the huge variety of projects that pigskin partiers complete! It is so fun to see what everyone likes to create! Events The Fiber Festival of New England. November 1 & 2 Sunkissed Fiber Festival: January 24-25, 2026- just outside Tampa, FL Life in Focus I shared a bit about my recent fibromyalgia pain flare. On a Happy Note 300 Paintings at ART Bethany of the Wandering Purl sent me 2 of her Pigskin exclusive bags with notions pouches! Dad and I went to my nephew Garret's hockey game together. The foliage is gorgeous this year. I signed up for Lauren (agirlandherwool) self striping club and got my first skein! Its great! Love is Blind Season 9- it was a wild and crazy season. I enjoy chatting about it with my friend Laura and am thrilled that the reunion will air while I'll be in NYC with her. So many deer in the yard in the last week and even a buck who has made a few appearances. We had fun at a friends' movie night watching Young Frankenstein. Quote of the Week "When I despair, I remember that all through history the way of truth and love have always won. There have been tyrants and murderers, and for a time, they can seem invincible, but in the end, they always fall. Think of it--always." ― Mahatma Gandhi ------ Thank you for tuning in! Contact Information: Check out the Down Cellar Studio Patreon! Ravelry: BostonJen & Down Cellar Studio Podcast Ravelry Group Instagram: BostonJen1 YouTube: Down Cellar Studio Facebook: https://www.facebook.com/downcellarstudio Sign up for my email newsletter to get the latest on everything happening in the Down Cellar Studio Check out my Down Cellar Studio YouTube Channel Knit Picks Affiliate Link Bookshop Affiliate Link Yarnable Subscription Box Affiliate Link FearLESS Living Fund to benefit the Blind Center of Nevada Music -"Soft Orange Glow" by Josh Woodward. Free download: http://joshwoodward.com/ Note: Some links are listed as Amazon Affiliate Links. If you click those, please know that I am an Amazon Associate and I earn money from qualifying purchases.
This week on Ike Live, we're coming to you LIVE from the bar! Ike and Becky are back from an unforgettable trip through Spain and Portugal, and they're sharing stories, fishing insights, and all the wild moments from the road. But that's just the beginning… We're also diving into two massive breaking updates in the tournament bass fishing world: Bassmaster's shocking new rule banning anglers from livestreaming their tournament days – what does this mean for anglers, sponsors, and fans? Major League Fishing's new forward-facing sonar rule at the BFL level – anglers are now limited to just 3 hours of using FFS and 360 sonar during tournament days. Is this the start of a sport-wide shift? Join Mike and Becky for real talk, strong opinions, and unfiltered takes on where the sport is headed. Grab a drink, settle in, and let's talk fishing. #IkeLive #MikeIaconelli #BassFishingPodcast #MLF #Bassmaster #LivestreamBan #ForwardFacingSonar #BFL #FishingControversy #FishingNews #ProFishing #TournamentFishing #FFS #FishingRules #FishingCommunity
WINGED C IS BACK!"Mighty" Demetrious Johnson welcomes controversial StreetBeefs star "Winged C" on the latest edition of 'The Mightycast'!Timecodes 0:00 Intro 1:04 PrizePicks CODE MIGHTYCAST 2:09 Welcome Winged C 3:14 Winged C has a FIGHT SOON! 3:35 Winged C's BIG WIN at BFL 6:54 Winged C's Intro into MMA 10:25 Winged C's First STREETBEEFS Fight 11:57 Winged C has a GREAT Record 12:26 Winged C Almost Tore DJ's ACL 14:27 How Death Sentence and Winged C Became Friends 15:42 1STPHORM.COM/MIGHTYCAST 17:13 The Mission of Death Squad Requiem 18:19 Winged C's FAVORITE Anime 18:58 How Winged C Got His Name 20:43 How Winged C Picks His Wings 21:16 Winged C's Next Fight 22:12 When Will Winged C Go Pro? 23:13 How Does Winged C Make Money? 23:53 Winged C Doesn't Want to Go Pro? 28:01 Winged C Doesn't Listen to Coaches 29:44 Did Winged C Graduate High School? 30:50 Will Winged C Ever Get a Job? 34:06 Winged C's Mom's Reaction to His Head Tattoo 37:18 Does Winged C Get Girls? 39:13 Winged C's Unique Fighting Style Explained 39:48 Death Sentence is the FUTURE of MMA 42:58 Why Does Winged C Always Say “Chat” 45:03 How Will Winged C Be Remembered? 47:30 Winged C Wants to Release a Manga 48:54 The Infamous DJ HEAD KICK on Winged C 51:32 DEATH SENTENCE JOINS THE SHOW 52:12 Death Sentence's VISION for DSR 52:56 Mr. Death's NEXT FIGHT 53:56 Winged C and Death's Suits 56:57 Where to Follow Winged C! 57:54 Winged C Asks Mighty About His Ligma 58:27 MIGHTYRECAP! 58:39 Winged C is A LOT… 58:57 DJ is Helping Winged C Go Pro! 1:01:37 Winged C Pulls BIG Numbers 1:02:14 DSR is a Strong Team 1:03:04 DJ's Reaction to Dropping Winged C 1:05:10 What is Next for Winged C?
Did They Just Kill BFLs? The Shocking 2026 Phoenix Bass Fishing League Changes!On this explosive episode of Fishing the DMV, we break down Major League Fishing's massive announcement about the 2026 Phoenix Bass Fishing League (BFL) — a complete overhaul of one of the most iconic tournament trails in bass fishing. MLF just dropped a bombshell: Forward-Facing Sonar will be restricted to a 3 hour time period for any and all BFL events!! What this could mean for the future of grassroots tournament fishing Tune in for a deep dive into the numbers, the changes, and the real impact these updates could have on anglers across the country. Please support Fishing the DMV on Patreon!!! Patreon: https://patreon.com/FishingtheDMVPodcast If you are interested in being on the show or a sponsorship opportunity, please reach out to me at fishingtheDMV@gmail.com Follow Hunter on his social media accounts below: Instagram- https://www.instagram.com/hpsfishing/ Facebook- https://www.facebook.com/profile.php Youtube- https://www.youtube.com/channel/UCcYT38BxL_yFHkbb977e_Hw Help support hunter by checking out his sponsors down below: Fishing Pro Tech https://www.facebook.com/FishingProTech Please Checkout our Patreon Sponsors Jake's bait & Tackle Website: http://www.jakesbaitandtackle.com/ Fishing the DMV Facebook page: https://www.facebook.com/Arensbassin/?ref=pages_you_manage Fishing the DMV Instagram page: https://www.instagram.com/fishingthedmv/?utm_medium=copy_link #bassfishing #fishingtheDMV #fishingtips Support the show
Benvingudes i benvinguts al desè episodi de la novena temporada de Tots al Blitz! El primer programa en català dedicat a l’NFL. Avui és dia de prèvia. Avui comença la jornada 4 de l’NFL. Sempre diem el mateix, però hi ha teòrics favorits que hi arriben amb urgències de l’alçada d’un campanar i no poden esperar més a guanyar, que després et trobes que han canviat el teu retrat de l’avinguda dels campions pel d’un bolígraf que signa sol i, a sobre, encara els hi has de riure les gràcies. També és la setmana on comencen els partits internacionals de l’BFL a Europa, amb el primer partit de la història de Dublín que enfrontarà els Pittsburgh Steelers i els Minnesota Vikings i on nosaltres també hi serem. Vols la nostra samarreta? Aquí: https://nfl-en-catala.aixeta.cat/ca/campaigns#LDFNNH Apunta't al pick'em d'NFL en català: https://fantasy.espn.com/games/nfl-pigskin-pickem-2025/group?id=2f576645-7bd5-4980-b626-bd3b96da84ae&joining=true Recordeu que trobareu el programa a totes les plataformes de podcàsting habituals, i que ens podeu seguir a les xarxes socials a: Bluesky: https://bsky.app/profile/nflencatala.bsky.social Instagram: https://www.instagram.com/nfl_encatala/ TikTok: https://www.tiktok.com/@nfl_encatala YouTube: https://www.youtube.com/@nfl_encatala Twitch: https://www.twitch.tv/catalunyaradio I també el feed de programes: https://t.co/ZGvItz3DQn I no oblideu subscriure-us al nostre canal de Youtube per estar al dia de totes les novetats!
This year in Phoenix Bass Fishing League Presented by T-H Marine events, Brody Luckey has put a bow on four wins, most recently in the Super Tournament on the James River. It's the best BFL season since Terry Thomas blitzed through the Ozarks in 1999, and Luckey stopped by the show for a full breakdown.
Our 219th episode with a summary and discussion of last week's big AI news! Recorded on 08/08/2025 Check out Andrey's work over at Astrocade , sign up to be an ambassador here Hosted by Andrey Kurenkov and Jeremie Harris. Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai Read out our text newsletter and comment on the podcast at https://lastweekin.ai/ In this episode: OpenAI reveals GPT-5, a consolidated model combining all previous versions, marking notable improvements and introducing a new infrastructure and product update. Multiple major releases from leading AI labs, including OpenAI, Anthropic, and Google reflect the ongoing competitive landscape with significant business updates and new model capabilities. Discussions on geopolitical influences in AI development highlight China's evolving stance on AI safety and governance, contrasting with U.S. approaches and raising concerns over export bans and international cooperation. Papers from leading AI entities such as OpenAI and Anthropic delve into the complexities of AI alignment and safety, proposing new methodologies for auditing and mitigating risks in model behaviors. Timestamps + Links: (00:00:10) Intro / Banter (00:02:14) Plug: Astrocade rolls out AI agent-powered game creation experience so anyone can create games Tools & Apps (00:03:07) OpenAI's GPT-5 is here (00:17:02) Anthropic Releases Claude Opus 4.1 With Agentic, Coding and Reasoning Upgrades (00:21:06) Google rolls out Gemini Deep Think AI, a reasoning model that tests multiple ideas in parallel | TechCrunch (00:24:04) Grok Imagine, xAI's new AI image and video generator, lets you make NSFW content | TechCrunch Applications & Business (00:26:35) Meta, Microsoft stocks rise on strong earnings and AI spending boom (00:29:17) OpenAI to Establish Stargate Norway With 230MW Data Center - Bloomberg (00:32:12) Anthropic Revenue Pace Nears $5 Billion in Run-Up to Mega Round — The Information (00:37:18) OpenAI Hits $12 Billion Annualized Revenue (00:40:06) Noma Security raises $100 million to defend against AI agent vulnerabilities | Ctech Projects & Open Source (00:42:13) OpenAI Just Released Its First Open-Weight Models Since GPT-2 (00:53:13) Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance (00:57:39) Meta CLIP 2: A Worldwide Scaling Recipe (01:01:12) BFL and Krea release FLUX.1 Krea: Open image model designed for realism Research & Advancements (01:02:33) Google's Newest AI Model Acts like a Satellite to Track Climate Change | WIRED (01:04:50) Google's new AI model creates video game worlds in real time (01:10:55) AlphaGo Moment for Model Architecture Discovery (01:17:22) METR evaluates Grok 4 Policy & Safety (01:20:05) Estimating Worst-Case Frontier Risks of Open-Weight LLMs (01:23:14) Anthropic's AI 'Vaccine': Train It With Evil to Make It Good - Business Insider (01:27:26) Anthropic unveils 'auditing agents' to test for AI misalignment | VentureBeat (01:28:31) Optimizing The Final Output Can Obfuscate CoT (Research Note) (01:31:23) Why China isn't about to leap ahead of the West on compute (01:33:15) Inside the Summit Where China Pitched Its AI Agenda to the World | WIRED (01:38:47) Nvidia H20 GPUs reportedly caught up in U.S. Commerce Department's worst export license backlog in 30 years — billions of dollars worth of GPUs and other products in limbo due to staffing cuts, communication issues | Tom's Hardware (01:42:35) Response to listener comments
Nick Earnshaw and former Kansas City Chiefs wide receiver Dave Klemic join me on the Beach in Wildwood NJ. 2X Super Bowl Champion Tully Banta-Cain stops by. Plus former Eagles wide receiver Rashard Davis drops by to talk about the BFL event and he lets us try on his Super Bowl ring. Plus the Beach Patrol Report.
Producer Danny Ryan's last show!! We go "On the Mound " with former Phillies Pitcher Tommy Greene. Plus 2X Super Bowl Champion with the Patriots Tully Banta-Cain about the BFL in Wildwood NJ.
We switch from movies to the stage to talk about SING STREET: THE MUSICAL. Anna speaks with iconic producer Barbara Broccoli about her approach in adapting the film into a stage show. Barbara came on our 100th episode of Girls On Film to talk about her work, the Time's Up movement, and No Time To Die. As well as producing the Bond films at Eon Productions, she has produced female-led movies such as Film Stars Don't Die In Liverpool, Nancy, Till, and Blue Road: The Edna O'Brien Story. Anna also chats with the show's director, Rebecca Taichman, about approaching the correct tone and staging for the show. Rebecca is one of only six women to win the TONY Award for Best Direction of a Play, which she took home in 2017 for "INDECENT," by Paula Vogel. With a diverse repertoire spanning Shakespeare, contemporary plays, opera, and musicals, Taichman is a visionary director who enjoys conceiving of and co-creating new work. We're also joined by John Carney who is known for music-led films such as Once and Begin Again, and who directed and co-wrote the original feature film Sing Street. SING STREET: THE MUSICAL is running from July 8 - August 23 2025 at the Hammersmith Theatre, London. Check out the website for more details: https://lyric.co.uk/shows/sing-street/ . Sign up to the Girls On Film newsletter here: http://eepurl.com/iEKaM-/ . Or email girlsonfilmsocial@gmail.com to be signed up. Visit our new website www.girlsonfilm.org.uk Become a patron of Girls On Film on Patreon here:www.patreon.com/girlsonfilmpodcast Follow us on socials: www.instagram.com/girlsonfilm_podcast / www.facebook.com/ girlsonfilmpodcast / https://bsky.app/profile/girlsonfilmpodcast.bsky.social https://bsky.app/profile/annasmithjourno.bsky.social Watch Girls On Film on the BFl's YouTube channel: www.youtube.com/playlist?list=PLX...L89QKZsN5Tgr3vn7z Girls On Film is an HLA production. Host: Anna Smith Executive Producer: Hedda Lornie Archbold Producer: Charlotte Matheson Audio Editor: Emma Butt. This episode is supported by Lilac Grove Entertainment. Principal Partners: Vanessa Smith and Peter Brewer © HLA Agency
Nick Earnshaw joins me as we recap the week in Philly Sports. We go "On the Mound" with former Phillies Pitcher Tommy Greene. 2X Super Bowl Champion Tully Banta-Cain on the BFL in Wildwood. High School Athletes in the Spotlight with Fran Mclaughlin.
*THIS WAS A PREVIOUSLY RECORDED EPISODE* Charlotte McKinney joins Brittany Furlan Lee while Brittany Schmitt is out of town! The duo dives into juicy topics like comparing yourself to others, voodoo dolls and 2000 tumblr days. Then, they break down red flags in men while reacting to your craziest red flag stories! Follow Charlotte McKinney at https://www.instagram.com/charlottemckinney/ ---------------------------------------------------------------- SUBSCRIBE ON PATREON - patreon.com/ThisIsTheWorstPodcast - A place for the Worsties to be even more feral! We'll be doing exclusive content, bonus episodes and SO much more! SHOP OUR MERCH HERE: https://shop.justmediahouse.com/collections/this-is-the-worst ---------------------------------------------------------------- Thank you to our sponsors this week: Presented by Olipop: https://drinkolipop.com/BRITT & Tru Fru: https://trufru.com/ #Olipoppartner #trufrupartner ---------------------------------------------------------------- Stay connected and follow us: • Instagram - https://www.instagram.com/thisistheworstpod/ • TikTok - https://www.tiktok.com/@thisistheworstpod • Facebook - https://www.facebook.com/thisistheworstpod/ What's YOUR worst? Want our BADvice? Email us at thisistheworstpod@justmediahouse.com ---------------------------------------------------------------- Time Stamps: 00:00:00 Welcome back WORSTIES! 00:00:25 BFL & Mike chat red flags 00:26:10 Interview with Charlotte McKinney00:57:42 The girls worst ‘RED FLAG' stories 01:03:47 YOUR worst ‘RED FLAG' stories 01:12:22 BADvice 01:15:23 LOVE YOU WORSTIES! Powered by: Just Media House -- https://www.justmediahouse.com/ Hosted and Executive Produced by: Brittany Furlan Lee and Brittany Schmitt Studio: Kandoo Films -- https://www.kandoofilms.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
In this week's episode, Brittany Schmitt and Brittany Furlan Lee discuss their love for ChatGPT, a waxing gone wrong and their experiences with a magic man. Then, the Britts share their worst pooping their pants stories while reacting to yours! ---------------------------------------------------------------- SUBSCRIBE ON PATREON - patreon.com/ThisIsTheWorstPodcast - A place for the Worsties to be even more feral! We'll be doing exclusive content, bonus episodes and SO much more! SHOP OUR MERCH HERE: https://shop.justmediahouse.com/collections/this-is-the-worst ---------------------------------------------------------------- Thank you to our sponsors this week: Presented by Olipop: https://drinkolipop.com/BRITT & Tru Fru: https://trufru.com/ #Olipoppartner #trufrupartner ---------------------------------------------------------------- Stay connected and follow us: • Instagram - https://www.instagram.com/thisistheworstpod/ • TikTok - https://www.tiktok.com/@thisistheworstpod • Facebook - https://www.facebook.com/thisistheworstpod/ What's YOUR worst? Want our BADvice? Email us at thisistheworstpod@justmediahouse.com ---------------------------------------------------------------- Time Stamps: 00:00:00 Welcome back WORSTIES! 00:01:20 Tommy & The Britts 00:05:20 ChatGPT 00:12:34 BFL's worsts of the week 00:25:24 BS's worsts of the week 00:30:46 Waxing gone wrong 00:37:24 BFL's wins of the week 00:54:54 BS's wins of the week 01:00:30 The Britts worst POOPING THEIR PANTS stories 01:11:20 Your worst POOPING YOUR PANTS stories 01:21:50 BADvice 01:27:05 LOVE YOU WORSTIES! Powered by: Just Media House -- https://www.justmediahouse.com/ Hosted and Executive Produced by: Brittany Furlan Lee and Brittany Schmitt Studio: Kandoo Films -- https://www.kandoofilms.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
HEADLINES:- Mark Zuckerberg Has Launched the Standalone App for Meta AI- UAE Entrepreneur Raises Inclusivity Questions about AI- Dubai's Skyline Gets a New Addition - Trump International Hotel and Tower- BFL's Toufic: Retail in GCC is Changing- British Wealth Firm Azura Swaps Monaco for Abu Dhabi After Lunate Deal
In this week's episode, Brittany Schmitt and Brittany Furlan Lee discuss single men and all the annoying things they do before they break up with you, why Millennials are aging better than most generations, and BFL shares more period advice! Then, the Britts reveal their worst road rage stories while reacting to yours! ---------------------------------------------------------------- SUBSCRIBE ON PATREON - patreon.com/ThisIsTheWorstPodcast - A place for the Worsties to be even more feral! We'll be doing exclusive content, bonus episodes and SO much more! SHOP OUR MERCH HERE: https://shop.justmediahouse.com/collections/this-is-the-worst ---------------------------------------------------------------- Thank you to our sponsors this week: Presented by Olipop: https://drinkolipop.com/BRITT & Tru Fru: https://trufru.com/ #Olipoppartner #TruFruPartner ---------------------------------------------------------------- Stay connected and follow us: • Instagram - https://www.instagram.com/thisistheworstpod/ • TikTok - https://www.tiktok.com/@thisistheworstpod • Facebook - https://www.facebook.com/thisistheworstpod/ What's YOUR worst? Want our BADvice? Email us at thisistheworstpod@justmediahouse.com ---------------------------------------------------------------- Time Stamps: 00:00:00 Welcome back WORSTIES! 00:05:41 Mike went on a date! 00:09:01 Millennials are aging best 00:18:10 BS's dating updates 00:26:21 BFL's period advice 00:28:38 THE BROILER 00:45:22 Men aint sh*t 00:53:17 The Britts worst 'ROAD RAGE' stories 01:01:06 YOUR worst 'ROAD RAGE' stories 01:11:30 BADvice 01:21:09 LOVE YOU WORSTIES! Powered by: Just Media House -- https://www.justmediahouse.com/ Hosted and Executive Produced by: Brittany Furlan Lee and Brittany Schmitt Studio: Kandoo Films -- https://www.kandoofilms.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
Episode Description: On this action-packed episode of Fishing the DMV, I sit down with Hunter Tibbetts, fresh off an incredible showing at the BFL Piedmont Division event on Buggs Island—also known as Kerr Lake. Hunter weighed in an impressive 19 pounds, 14 ounces to take 2nd place and he's here to break it all down. We dive deep into how he tackled the lake, the patterns that put him on fish, and what it takes to succeed at one of the most dynamic fisheries in the region. Whether you're a weekend warrior or a tournament angler, this episode is full of valuable insights and next-level tactics straight from Hunter. Please support Fishing the DMV on Patreon!!! https://patreon.com/FishingtheDMVPodcast Fishing the DMV now has a website: https://www.fishingthedmv.com/ If you are interested in being on the show or a sponsorship opportunity, please reach out to me at fishingtheDMV@gmail.com Hunter Tibbets on Instagram: https://www.instagram.com/hunter.tibbets/ Hunter Tibbets on Facebook: https://www.facebook.com/profile.php?id=100062907912741 About This Video: In this video, How to Win on Kerr Reservoir this Spring | Tournament Tactics REVEALED! we sit down with Hunter Tibbetts to break down exactly how he landed nearly 20 pounds of bass during the BFL Piedmont Division event on Kerr Lake, also known as Buggs Island. This is a MUST-WATCH for anyone passionate about Fishing the DMV, spring bass fishing, kayak bass fishing, or tournament fishing.We dive deep into Hunter's winning strategies, how he located the right fish, and the exact techniques he used to dominate Kerr Lake during a tough spring bite. Whether you're a tournament angler, kayak fisherman, or just love Virginia bass fishing, this episode will give you actionable tips to level up your game this spring!If you're gearing up for BFL tournaments, targeting big spring bass on rivers or lakes, or even prepping for kayak fishing events, you'll find next-level advice here. Make sure to like, comment, and subscribe to stay up to date on Fishing the DMV content, including more in-depth tournament breakdowns, Bugs Island fishing reports, Kerr Lake Fishing Report, and bass strategies from the region's top anglers!Please checkout our Patreon Sponsors Jake's bait & Tackle website: http://www.jakesbaitandtackle.com/ Catoctin Creek Custom Rods: https://www.facebook.com/CatoctinCreekCustomRods Tiger Crankbaits on Facebook!! https://www.facebook.com/tigercrankbaits Fishing the DMV Facebook page: https://www.facebook.com/Arensbassin/?ref=pages_you_manage Fishing the DMV Instagram page: https://www.instagram.com/fishingthedmv/?utm_medium=copy_linkSupport the show
In this week's episode, Brittany Schmitt and Brittany Furlan Lee discuss men who don't pay on first dates, BFL's wild love for taxidermy, and the time BS held a funeral for a dead crow (lol). The girls also chat about annoying neighbors, prison, and death. ---------------------------------------------------------------- SUBSCRIBE ON PATREON - patreon.com/ThisIsTheWorstPodcast - A place for the Worsties to be even more feral! We'll be doing exclusive content, bonus episodes and SO much more! SHOP OUR MERCH HERE: https://shop.justmediahouse.com/collections/this-is-the-worst ---------------------------------------------------------------- Thank you to our sponsors this week: Presented by Olipop: https://drinkolipop.com/BRITT & Tru Fru: https://trufru.com/ #Olipoppartner #TruFruPartner Factor: Get started at https://www.factormeals.com/britts50off and use code britts50off to get 50% off your first box plus free shipping. Cleveland Kitchen: Find Cleveland Kitchen's fresh, fermented foods in the refrigerated section of your local grocery store, or have them delivered straight to your door via Instacart AND for our listeners get $4 off - head over to https://www.clevelandkitchen.com/podcast. ---------------------------------------------------------------- Stay connected and follow us: • Instagram - https://www.instagram.com/thisistheworstpod/ • TikTok - https://www.tiktok.com/@thisistheworstpod • Facebook - https://www.facebook.com/thisistheworstpod/ What's YOUR worst? Want our BADvice? Email us at thisistheworstpod@justmediahouse.com ---------------------------------------------------------------- Time Stamps: 00:00:00 Welcome back WORSTIES! 00:05:00 BS's win of the week 00:11:53 BS's crow funeral 00:18:07 BFL's love for taxidermy 00:30:37 Child actors 00:39:30 BS's apartment update 00:43:28 Annoying neighbors 00:53:11 Bad first dates 01:02:48 Cognify 01:10:42 BADvice 01:18:55 LOVE YOU WORSTIES! Powered by: Just Media House -- https://www.justmediahouse.com/ Hosted and Executive Produced by: Brittany Furlan Lee and Brittany Schmitt Studio: Kandoo Films -- https://www.kandoofilms.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
In this week's episode, Brittany Schmitt and Brittany Furlan Lee discuss going to jail, bougie psych wards, and why everyone is missing a side tooth. Then, the Britts share their worst dream stories while reacting to yours! ---------------------------------------------------------------- SUBSCRIBE ON PATREON - patreon.com/ThisIsTheWorstPodcast - A place for the Worsties to be even more feral! We'll be doing exclusive content, bonus episodes and SO much more! SHOP OUR MERCH HERE: https://shop.justmediahouse.com/collections/this-is-the-worst ---------------------------------------------------------------- Thank you to our sponsors this week: Presented by Olipop: https://drinkolipop.com/BRITT & Tru Fru: https://trufru.com/ #Olipoppartner #TruFruPartner Green Chef: Go to https://www.GreenChef.com/theworstfree and use code theworstfree to get started with FREE Salads for two months plus 50% off your first box. ---------------------------------------------------------------- Stay connected and follow us: • Instagram - https://www.instagram.com/thisistheworstpod/ • TikTok - https://www.tiktok.com/@thisistheworstpod • Facebook - https://www.facebook.com/thisistheworstpod/ What's YOUR worst? Want our BADvice? Email us at thisistheworstpod@justmediahouse.com ---------------------------------------------------------------- Time Stamps: 00:00:00 Welcome back WORSTIES! 00:03:36 BFL's worst of the week 00:05:20 BS's mini win of the week 00:10:44 BS's worst of the week 00:19:20 Bougie psych wards 00:21:08 That time I went to jail 00:31:18 Wild news stories 00:41:03 The girls worst ‘DREAM' stories 00:53:38 YOUR worst ‘DREAM' stories 01:10:03 BADvice 01:14:36 LOVE YOU WORSTIES! Powered by: Just Media House -- https://www.justmediahouse.com/ Hosted and Executive Produced by: Brittany Furlan Lee and Brittany Schmitt Studio: Kandoo Films -- https://www.kandoofilms.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
In this week's episode, Brittany Schmitt and Brittany Furlan Lee discuss witchcraft, antidepressants, and generational trauma. The Britts also chat about BFL's revelation with antihistamines, BS's taking a little trip, and the sad truth about GoFundMe. ---------------------------------------------------------------- SUBSCRIBE ON PATREON - patreon.com/ThisIsTheWorstPodcast - A place for the Worsties to be even more feral! We'll be doing exclusive content, bonus episodes and SO much more! SHOP OUR MERCH HERE: https://shop.justmediahouse.com/collections/this-is-the-worst ---------------------------------------------------------------- Thank you to our sponsors this week: Presented by Olipop: https://drinkolipop.com/BRITT & Tru Fru: https://trufru.com/ #olipoppartner #trufrupartner ---------------------------------------------------------------- Stay connected and follow us: • Instagram - https://www.instagram.com/thisistheworstpod/ • TikTok - https://www.tiktok.com/@thisistheworstpod • Facebook - https://www.facebook.com/thisistheworstpod/ What's YOUR worst? Want our BADvice? Email us at thisistheworstpod@justmediahouse.com ---------------------------------------------------------------- Time Stamps: 00:00:00 Welcome back WORSTIES! 00:04:46 Antihistamines revelation 00:16:30 GoFundMe gone wrong 00:20:12 Working with a witch 00:27:17 Chatting about antidepressants 00:31:50 Blake Lively & Ryan Reynolds 00:36:56 BS's little trip 00:44:42 Generational trauma 00:56:53 BADvice 01:00:03 LOVE YOU WORSTIES! Powered by: Just Media House -- https://www.justmediahouse.com/ Hosted and Executive Produced by: Brittany Furlan Lee and Brittany Schmitt Studio: Kandoo Films -- https://www.kandoofilms.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
In this week's episode, Brittany Schmitt and Brittany Furlan Lee discuss the struggles with people invading your space, scammers, and so much more! Then, the Britts share their worst style stories while reacting to yours! ---------------------------------------------------------------- SUBSCRIBE ON PATREON - patreon.com/ThisIsTheWorstPodcast - A place for the Worsties to be even more feral! We'll be doing exclusive content, bonus episodes and SO much more! SHOP OUR MERCH HERE: https://shop.justmediahouse.com/collections/this-is-the-worst ---------------------------------------------------------------- Thank you to our sponsors this week: Presented by Olipop: https://drinkolipop.com/BRITT & Tru Fru: https://trufru.com/ #Olipoppartner #TruFruPartner Factor: Get started at https://www.factormeals.com/britts50off and use code britts50off to get 50% off your first box plus free shipping. Sono Bello: Save big during their Winter Savings event – SCHEDULE YOUR FREE CONSULTATION NOW AT https://www.sonobello.com/worst ---------------------------------------------------------------- Stay connected and follow us: • Instagram - https://www.instagram.com/thisistheworstpod/ • TikTok - https://www.tiktok.com/@thisistheworstpod • Facebook - https://www.facebook.com/thisistheworstpod/ What's YOUR worst? Want our BADvice? Email us at thisistheworstpod@justmediahouse.com ---------------------------------------------------------------- Time Stamps: 00:00:00 Welcome back WORSTIES! 00:00:18 Drake & Kendrick beef recap 00:04:22 BFL's worsts of the week 00:08:35 BS's worsts of the week 00:18:06 The girls wins of the week 00:31:37 Scammers 00:38:32 The girls worst ‘STYLE' stories 00:45:46 YOUR worst ‘STYLE' stories 00:52:28 BADvice 00:56:20 LOVE YOU WORSTIES! Powered by: Just Media House -- https://www.justmediahouse.com/ Hosted and Executive Produced by: Brittany Furlan Lee and Brittany Schmitt Studio: Kandoo Films -- https://www.kandoofilms.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
In this week's episode, Brittany Schmitt and Brittany Furlan Lee discuss farting on your man, why 2025 sucks so far, and so much more! Then, the Britts share their worst Valentine's Day stories while reacting to yours! ---------------------------------------------------------------- SUBSCRIBE ON PATREON - patreon.com/ThisIsTheWorstPodcast - A place for the Worsties to be even more feral! We'll be doing exclusive content, bonus episodes and SO much more! SHOP OUR MERCH HERE: https://shop.justmediahouse.com/collections/this-is-the-worst ---------------------------------------------------------------- Thank you to our sponsors this week: Presented by Olipop: https://drinkolipop.com/BRITT & Tru Fru: https://trufru.com/ #Olipoppartner #TruFruPartner Factor: Get started at https://www.factormeals.com/britts50off and use code britts50off to get 50% off your first box plus free shipping. ---------------------------------------------------------------- Stay connected and follow us: • Instagram - https://www.instagram.com/thisistheworstpod/ • TikTok - https://www.tiktok.com/@thisistheworstpod • Facebook - https://www.facebook.com/thisistheworstpod/ What's YOUR worst? Want our BADvice? Email us at thisistheworstpod@justmediahouse.com ---------------------------------------------------------------- Time Stamps: 00:00:00 Welcome back WORSTIES! 00:03:15 BS's worsts of the week 00:17:08 BFL's worsts of the week 00:25:00 The girls wins of the week 00:26:35 The girls worst ‘Valentines Day' stories 00:31:34 YOUR worst ‘Valentines Day' stories 00:44:05 BADvice 00:51:17 LOVE YOU WORSTIES! Powered by: Just Media House -- https://www.justmediahouse.com/ Hosted and Executive Produced by: Brittany Furlan Lee and Brittany Schmitt Studio: Kandoo Films -- https://www.kandoofilms.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
Dating coach Sabrina Zohar joins Brittany Furlan Lee and Brittany Schmitt to chat about intentional dating, understanding your worth, and even gives BS's Hinge profile a little audit. The girls also share their worst "thirst" stories while reacting to yours! Follow Sabrina Zohar: https://www.instagram.com/sabrina.zohar/?hl=en https://www.instagram.com/thesabrinazoharshow/?hl=en https://www.tiktok.com/@sabrina.zohar ---------------------------------------------------------------- SUBSCRIBE ON PATREON - patreon.com/ThisIsTheWorstPodcast - A place for the Worsties to be even more feral! We'll be doing exclusive content, bonus episodes and SO much more! SHOP OUR MERCH HERE: https://shop.justmediahouse.com/collections/this-is-the-worst ---------------------------------------------------------------- Thank you to our sponsors this week: Presented by Olipop: https://drinkolipop.com/BRITT & Tru Fru: https://trufru.com/ #Olipoppartner #TruFruPartner HelloFresh: Get up to 10 FREE meals and a free high protein item for life at https://www.HelloFresh.com/theworst10fm. One item per box with active subscription. Free meals applied as discount on first box, new subscribers only, varies by plan. ---------------------------------------------------------------- Stay connected and follow us: • Instagram - https://www.instagram.com/thisistheworstpod/ • TikTok - https://www.tiktok.com/@thisistheworstpod • Facebook - https://www.facebook.com/thisistheworstpod/ What's YOUR worst? Want our BADvice? Email us at thisistheworstpod@justmediahouse.com ---------------------------------------------------------------- Time Stamps: 00:00:00 Welcome back WORSTIES! 00:00:10 Girls night out 00:11:40 Worsts of the week 00:28:00 BFL's wins of the week 00:33:27 BS's wins of the week 00:37:06 Interview with Sabrina Zohar 01:26:06 The girls worst ‘THIRSTS' stories 01:38:03 YOUR worst ‘THIRTS' stories 01:45:44 BADvice 01:47:38 LOVE YOU WORSTIES! Powered by: Just Media House -- https://www.justmediahouse.com/ Hosted and Executive Produced by: Brittany Furlan Lee and Brittany Schmitt Studio: Kandoo Films -- https://www.kandoofilms.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
In this week's episode, Brittany Schmitt and Brittany Furlan Lee discuss being depressed, BS's upcoming wild family trip, and a hilarious small talk encounter. Then, the Britts share their insane in-law stories while reacting to yours! ---------------------------------------------------------------- SUBSCRIBE ON PATREON - patreon.com/ThisIsTheWorstPodcast - A place for the Worsties to be even more feral! We'll be doing exclusive content, bonus episodes and SO much more! SHOP OUR MERCH HERE: https://shop.justmediahouse.com/collections/this-is-the-worst ---------------------------------------------------------------- Thank you to our sponsors this week: Presented by Olipop: https://drinkolipop.com/BRITT & Tru Fru: https://trufru.com/ #Olipoppartner #TruFruPartner Factor: Eat smart with Factor. Get started at https://www.factormeals.com/britts50off and use code britts50off to get 50% off your first box plus free shipping. ---------------------------------------------------------------- Stay connected and follow us: • Instagram - https://www.instagram.com/thisistheworstpod/ • TikTok - https://www.tiktok.com/@thisistheworstpod • Facebook - https://www.facebook.com/thisistheworstpod/ What's YOUR worst? Want our BADvice? Email us at thisistheworstpod@justmediahouse.com ---------------------------------------------------------------- Time Stamps: 00:00:00 Welcome back WORSTIES! 00:02:59 BFL's finally back in her house! 00:11:40 Worsts of the week 00:28:45 BS's wild family trip 00:33:54 Wins of the week 00:36:24 Libras are the worst 00:44:55 The Britts worst ‘IN-LAW' stories 00:57:24 YOUR worst ‘IN-LAW' stories 01:04:02 BADvice 01:10:50 LOVE YOU WORSTIES! Powered by: Just Media House -- https://www.justmediahouse.com/ Hosted and Executive Produced by: Brittany Furlan Lee and Brittany Schmitt Studio: Kandoo Films -- https://www.kandoofilms.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
In this week's episode, Brittany Schmitt and Brittany Furlan Lee discuss the downfall of dating apps, BS's thoughts on monogamy, and situational depression. The Britts also share their worst service experiences while reacting to yours ---------------------------------------------------------------- SUBSCRIBE ON PATREON - patreon.com/ThisIsTheWorstPodcast - A place for the Worsties to be even more feral! We'll be doing exclusive content, bonus episodes and SO much more! SHOP OUR MERCH HERE: https://shop.justmediahouse.com/collections/this-is-the-worst ---------------------------------------------------------------- Thank you to our sponsors this week: Presented By Olipop: https://drinkolipop.com/BRITT #Olipoppartner HelloFresh: Get up to 10 FREE meals and a free high protein item for life at https://www.HelloFresh.com/theworst10fm. One item per box with active subscription. Free meals applied as discount on first box, new subscribers only, varies by plan. Sono Bello: Save big during their New Years Saving event – SCHEDULE YOUR FREE CONSULTATION NOW AT https://www.sonobello.com/WORST. ---------------------------------------------------------------- Stay connected and follow us: • Instagram - https://www.instagram.com/thisistheworstpod/ • TikTok - https://www.tiktok.com/@thisistheworstpod • Facebook - https://www.facebook.com/thisistheworstpod/ What's YOUR worst? Want our BADvice? Email us at thisistheworstpod@justmediahouse.com ---------------------------------------------------------------- Time Stamps: 00:00:00 Welcome back WORSTIES! 00:01:58 BFL's worst of the week 00:09:55 BS's worst of the week 00:17:52 The Britts wins of the week 00:27:53 Vintage shopping 00:31:55 BS's dating life / dating apps suck 00:52:00 The Britts worst ‘SERVICE EXPERIENCE' stories 01:04:48 YOUR worst ‘SERVICE EXPERIENCE' stories 01:17:37 BADvice 01:20:35 LOVE YOU WORSTIES! Powered by: Just Media House -- https://www.justmediahouse.com/ Hosted and Executive Produced by: Brittany Furlan Lee and Brittany Schmitt Studio: Kandoo Films -- https://www.kandoofilms.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
Episode 332 Oh The Pain Podcast with Joe Benigno Martin Luther King Day and Inauguration Day Special. We breakdown the BFL divisional round, preview next week title games as well as tonight's national championship game between Ohio State and Norte Dame. Get 20% OFF @MANSCAPED + FREE SHIPPING with promo code OHTHEPAIN at MANSCAPED.COM #AD #MANSCAPED
In this week's episode, astrologist Shawn Breathwaite (aka Astrology Guy) joins the pod to chat about astrology, how to manifest, and sign compatibility. They also discuss the worst zodiac signs to date while reacting to your stories! Then, Brittany Furlan Lee and Brittany Schmitt talk icks, dating apps, and bad blowouts. Follow Shawn Breathwaite on Instagram https://www.instagram.com/astrologyguy/?hl=en ---------------------------------------------------------------- SUBSCRIBE ON PATREON - patreon.com/ThisIsTheWorstPodcast - A place for the Worsties to be even more feral! We'll be doing exclusive content, bonus episodes and SO much more! SHOP OUR MERCH HERE: https://shop.justmediahouse.com/collections/this-is-the-worst ---------------------------------------------------------------- Thank you to our sponsors this week: Presented By Olipop: https://drinkolipop.com/BRITT #Olipoppartner ZocDoc: So stop putting off those doctors appointments and go to https://www.Zocdoc.com/BRITTS to find and instantly book a top-rated doctor today. HelloFresh: Get up to 10 FREE meals and a free high protein item for life at https://www.HelloFresh.com/theworst10fm. One item per box with active subscription. Free meals applied as discount on first box, new subscribers only, varies by plan. ---------------------------------------------------------------- Stay connected and follow us: • Instagram - https://www.instagram.com/thisistheworstpod/ • TikTok - https://www.tiktok.com/@thisistheworstpod • Facebook - https://www.facebook.com/thisistheworstpod/ What's YOUR worst? Want our BADvice? Email us at thisistheworstpod@justmediahouse.com ---------------------------------------------------------------- Time Stamps: 00:00:00 Welcome back WORSTIES! 00:02:42 BFL's worst of the week 00:06:00 BS's worst of the week 00:26:12 The Britt's wins of the week 00:31:00 Going into the new year with gratitude 00:37:15 The word of the week 00:42:59 Interview with Shawn Breathwaite (aka Astrology Guy) 01:25:39 YOUR worst ‘ZODIAC SIGN TO DATE' stories 01:41:56 BADvice 01:46:08 LOVE YOU WORSTIES! Powered by: Just Media House -- https://www.justmediahouse.com/ Hosted and Executive Produced by: Brittany Furlan Lee and Brittany Schmitt Studio: Kandoo Films -- https://www.kandoofilms.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
In this week's episode, Brittany Schmitt and Brittany Furlan Lee discuss BS's wild plane experience, why insurance sucks, and a crazy concierge. The Britts also share the worst lies they've ever told while reacting to yours. ---------------------------------------------------------------- SUBSCRIBE ON PATREON - patreon.com/ThisIsTheWorstPodcast - A place for the Worsties to be even more feral! We'll be doing exclusive content, bonus episodes and SO much more! SHOP OUR MERCH HERE: https://shop.justmediahouse.com/collections/this-is-the-worst ---------------------------------------------------------------- Thank you to our sponsor this week: Presented By Olipop: https://drinkolipop.com/BRITT #Olipoppartner Sono Bello: Save big during Sono Bello's friends and family - Holiday Savings Event. SCHEDULE YOUR FREE CONSULTATION NOW at https://www.sonobello.com/BRITT. ---------------------------------------------------------------- Stay connected and follow us: • Instagram - https://www.instagram.com/thisistheworstpod/ • TikTok - https://www.tiktok.com/@thisistheworstpod • Facebook - https://www.facebook.com/thisistheworstpod/ What's YOUR worst? Want our BADvice? Email us at thisistheworstpod@justmediahouse.com ---------------------------------------------------------------- Time Stamps: 00:00:00 Welcome back WORSTIES! 00:01:17 HAPPY HOLIDAYS 00:04:17 BS's worst travel experience 00:24:18 BFL's worst of the week 00:36:00 The Britt's wins of the week 00:44:16 Word of the week 00:46:06 The Britts worst ‘LIE' stories 00:56:06 YOUR worst ‘LIE' stories 01:03:15 BADvice 01:05:56 LOVE YOU WORSTIES! Powered by: Just Media House -- https://www.justmediahouse.com/ Hosted and Executive Produced by: Brittany Furlan Lee and Brittany Schmitt Studio: Kandoo Films -- https://www.kandoofilms.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
Dr. Shannon Curry, a clinical and forensic psychologist, joins Brittany Furlan Lee and Brittany Schmitt to chat about how to communicate with your partner, sex in a long-term relationship, and how to tell if someone is lying. The ladies then share their worst "mental health stories" moments while reacting to yours! SUBSCRIBE ON PATREON - patreon.com/ThisIsTheWorstPodcast - A place for the Worsties to be even more feral! We'll be doing exclusive content, bonus episodes and SO much more! SHOP OUR MERCH HERE: https://shop.justmediahouse.com/collections/this-is-the-worst ---------------------------------------------------------------- Thank you to our sponsors this week: Presented By Olipop: https://drinkolipop.com/BRITT #Olipoppartner Factor: Head to https://www.factormeals.com/50britts and use code 50britts to get 50% off your first box plus free shipping. Sono Bello: Save big during Sono Bello's friends and family - Holiday Savings Event. SCHEDULE YOUR FREE CONSULTATION NOW at https://www.sonobello.com/BRITT. ---------------------------------------------------------------- Stay connected and follow us: • Instagram - https://www.instagram.com/thisistheworstpod/ • TikTok - https://www.tiktok.com/@thisistheworstpod • Facebook - https://www.facebook.com/thisistheworstpod/ Follow Dr. Shannon Curry at https://www.instagram.com/currypsychgroup/?hl=en What's YOUR worst? Want our BADvice? Email us at thisistheworstpod@justmediahouse.com ---------------------------------------------------------------- Time Stamps: 00:00:00 Welcome back WORSTIES! 00:00:48 BS's worst of the week 00:13:05 BFL's worst of the week 00:18:27 The Britt's wins of the week 00:28:20 Interview with Dr. Shannon Curry 01:42:16 The Britts worst ‘MENTAL HEALTH' stories 01:58:20 YOUR worst ‘MENTAL HEALTH' stories 02:11:14 BADvice 02:16:16 LOVE YOU WORSTIES! Powered by: Just Media House -- https://www.justmediahouse.com/ Hosted and Executive Produced by: Brittany Furlan Lee and Brittany Schmitt Studio: Kandoo Films -- https://www.kandoofilms.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
In this week's episode, Brittany Schmitt and Brittany Furlan Lee discuss BS's time in Paris, including her close call with a pickpocket, BFL's terrible doctor experience, and other wild stories. The Britts also share the worst gifts they've ever received while reacting to yours. SUBSCRIBE ON PATREON - patreon.com/ThisIsTheWorstPodcast - A place for the Worsties to be even more feral! We'll be doing exclusive content, bonus episodes and SO much more! SHOP OUR MERCH HERE: https://shop.justmediahouse.com/collections/this-is-the-worst ---------------------------------------------------------------- Thank you to our sponsors this week: Presented By Olipop: https://drinkolipop.com/BRITT #Olipoppartner Lumen: If you want to take the next step in improving your health, go to lumen.me/WORST to get 15% off your Lumen. That is L-U-M-E-N-DOT-ME Slash WORST for 15% off your purchase. Thank you, Lumen, for sponsoring this episode! Mint Mobile: To get this new customer offer and your new 3-month premium wireless plan for just 15 bucks a month, go to https://www.mintmobile.com/worst. Cut your wireless bill to $15 a month at. $45 upfront payment required (equivalent to $15/mo.). New customers on first 3 month plan only. Speeds slower above 40GB on Unlimited plan. Additional taxes, fees, & restrictions apply. See MINT MOBILE for details. Ro: Go to https://www.ro.co/worst. Sign up today and you'll pay just $99 for your first month—and $145 a month after that. Medication costs are separate. Oak Essentials: Our followers will get 15% off their first order when you use code BRITT at checkout at https://www.oalessentials.com. HelloFresh: Get 10 FREE meals at https://www.HelloFresh.com/freetheworst. Applied across 7 boxes, new subscribers only, varies by plan. ---------------------------------------------------------------- Stay connected and follow us: • Instagram - https://www.instagram.com/thisistheworstpod/ • TikTok - https://www.tiktok.com/@thisistheworstpod • Facebook - https://www.facebook.com/thisistheworstpod/ What's YOUR worst? Want our BADvice? Email us at thisistheworstpod@justmediahouse.com ---------------------------------------------------------------- Time Stamps: 00:00:00 Welcome back WORSTIES! 00:03:00 BFL's worst of the week 00:22:15 BS's worst of the week 00:41:02 BS's almost got pickpocketed 00:46:05 The Britt's wins of the week 01:01:42 The Britts worst ‘GIFT' stories 01:14:45 YOUR worst ‘GIFT' stories 01:25:12 BADvice 01:28:35 LOVE YOU WORSTIES! Powered by: Just Media House -- https://www.justmediahouse.com/ Hosted and Executive Produced by: Brittany Furlan Lee and Brittany Schmitt Studio: Kandoo Films -- https://www.kandoofilms.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
In this week's episode, Brittany Schmitt and Brittany Furlan Lee discuss being a night owl vs a morning person, managing different sleep schedules, and the frustrations of dealing with construction. OH, and the girls do a "boogie check" (LOL). The Britts also share their grossest body experiences while reacting to yours. SUBSCRIBE ON PATREON - patreon.com/ThisIsTheWorstPodcast - A place for the Worsties to be even more feral! We'll be doing exclusive content, bonus episodes and SO much more! SHOP OUR MERCH HERE: https://shop.justmediahouse.com/collections/this-is-the-worst ---------------------------------------------------------------- Thank you to our sponsors this week: Presented By Olipop: https://drinkolipop.com/BRITT #Olipoppartner ZocDoc: Stop putting off those doctors appointments and go to https://www.Zocdoc.com/BRITTS to find and instantly book a top-rated doctor today. Blueland: Blueland has a special offer for listeners. Right now, get 15% off your first order by going to https://www.Blueland.com/worst dot com. Factor: Head to https://www.factormeals.com/britts50 and use code britts50 to get 50% off your first box. ---------------------------------------------------------------- Stay connected and follow us: • Instagram - https://www.instagram.com/thisistheworstpod/ • TikTok - https://www.tiktok.com/@thisistheworstpod • Facebook - https://www.facebook.com/thisistheworstpod/ What's YOUR worst? Want our BADvice? Email us at thisistheworstpod@justmediahouse.com ---------------------------------------------------------------- Time Stamps: 00:00:00 Welcome back WORSTIES! 00:07:25 BFL's worst of the week 00:23:33 BOOG CHECK 00:30:22 BS's worst of the week 00:40:43 The Britt's wins of the week 00:44:49 The Britts worst ‘GROSSEST BODY EXPERIENCE' stories 00:58:50 YOUR worst ‘GROSSEST BODY EXPERIENCE' stories 01:12:22 BADvice 01:15:28 LOVE YOU WORSTIES! Powered by: Just Media House -- https://www.justmediahouse.com/ Hosted and Executive Produced by: Brittany Furlan Lee and Brittany Schmitt Studio: Kandoo Films -- https://www.kandoofilms.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
With well over 100 tournaments wins on some of the biggest tours and a recent 2nd place finish in a BFL regional, Adam is undoubtedly a hammer. He's a stick. The man is a sniper and whatever else you would call an angler who scares the other dudes at the ramp. However, he's much more than that. He's a down to earth family man, a duck killer, a fajita maker, and just a caring / nice dude who once gave Jordan's son near a dozen brand new Spro Frogs after a derby. (full story in podcast) This is a podcast that people have been requesting, and we hope you love it. This one coulda been like 4 hours, but we kept it shorter so Adam could actually sleep and go to work the next day! POSITIVITY IS WORTH THE EFFORT! ALL FISHING IS FUN FISHING! https://www.grizzlycoolers.com- code WCB for 15% off https://hookandarrowsupply.com https://www.leupold.com/ https://www.youtube.com/@tackleandtacos https://www.workingclassbowhunter.com/ https://waypointtv.com/tackle-and-tacos-a-fishing-podcast Learn more about your ad choices. Visit megaphone.fm/adchoices