Podcasts about Stride

Lionshare's Dave Buehring and Carmen continue talking through a series of conversations around "Your Season, Your Calling."  This time, they look at those in the 50's and 60's.  It's often a time you hit convergence:  where you have a more refined understanding of your giftedness and calling, and you sense the internal grace that helps you to zero in on what you should be doing in life.  Luke Moon from 2Hammers and Generation Zion updates us the state of negotiations between the US and Iran.  Much of it rides on Israel's efforts to de-tooth the Iran-backed terror group Hezbollah in Lebanon.   The Reconnect with Carmen and all Faith Radio are made possible by your support. Give now: Click here 

DJ and music producer D-KRAM joins James for a phone interview from his home in north-west Victoria to celebrate his new music releases.  D-KRAM describes his music videos, shares anecdotes from his career as a DJ and reflects on his prolific wave of music production at 61.  Includes samples from In My Stride and Ruff With U (Slap It Ruff)   D-KRAM (@dj_d_kram) • Instagram photos and videos  Image: In Ya Face host James McKenzie with D-KRAM during a visit to 3CR in June 2024.

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

Stride Pro Wrestling has announced a summer comeback, the first show since fall 2025. This time, the company is taking over Mtn Dew Park in Marion for Bash at the Ballpark on Thursday, June 18. Belltime is at 5:30 p.m. This week, Tyler ‘Heath’ Hatton and I discuss the show and the reuniting of us … Continue reading My 1-2-3 Cents Episode 604: Stride Returns → The post My 1-2-3 Cents Episode 604: Stride Returns appeared first on Jittery Monkey Podcasting Network.

Stride Pro Wrestling has announced a summer comeback, the first show since fall 2025. This time, the company is taking over Mtn Dew Park in Marion for Bash at the Ballpark on Thursday, June 18. Belltime is at 5:30 p.m. This week, Tyler ‘Heath’ Hatton and I discuss the show and the reuniting of us … Continue reading My 1-2-3 Cents Episode 604: Stride Returns → The post My 1-2-3 Cents Episode 604: Stride Returns appeared first on Jittery Monkey Podcasting Network » My 1-2-3 Cents.

Reubs and Pat Blacker chat about making connections, finding your tribe and avoiding burnout in community services work with peer workers Simon and Oli from Stride and Shane Roberts from Apex Remedial and Sports Massage.Big thanks to Radio Blue Mountains, Raine & Horne Wentworth Falls, Cortados Coffee in Lawson, and Ilana's Delicious Skinfood.

Building AI is easy. Building secure, reliable, and production-ready AI is where the real challenge begins. As artificial intelligence rapidly transitions from experimental sandbox projects to mission-critical business applications, the attack surface expands exponentially. In this engineering masterclass, InfosecTrain moves past the theoretical hype to dive deep into the practical mechanics of deploying and hardening AI infrastructure within enterprise environments.The "course titled" Certified AI Security Professional Training is a vital resource for teams tasked with defending non-deterministic systems. We break down the core architectural components of production AI pipelines, analyzing the distinct vulnerabilities that traditional Application Security (AppSec) frameworks overlook. Learn how to implement robust threat modeling, integrate protective guardrails across your data pipelines, and establish governance controls that foster innovation without exposing your enterprise to catastrophic risk.

 Jeff Galloway was an inspiration to literally thousands of members of the runDisney community.  Earlier this year, Galloway passed away at the age of 80.  Natalie from the Stride Sisters Podcast will be Rick's guest on the show this week to talk about Galloway's impact. 

Fluent Fiction - Norwegian: Microscope Compromise: A Smart Stride in Science Discovery Find the full episode transcript, vocabulary words, and more:fluentfiction.com/no/episode/2026-06-10-07-38-19-no Story Transcript:No: I det skjulte laboratoriet, hvor luften var fylt med spenning og lyden av summende elektronikk, satt Sindre ved sitt stålbelagte skrivebord.En: In the hidden laboratory, where the air was filled with excitement and the sound of humming electronics, Sindre sat at his steel-covered desk.No: Han stirret på den lysende skjermen foran seg.En: He stared at the glowing screen in front of him.No: Hans oppmerksomhet var klistret på en spesiell artikkel om verdens beste mikroskoper.En: His attention was glued to a particular article on the world's best microscopes.No: Mikroskopet var det neste essensielle skrittet i hans forskning.En: The microscope was the next essential step in his research.No: Han visste, det kunne være nøkkelen til en viktig oppdagelse.En: He knew it could be the key to an important discovery.No: Ved siden av ham, stod Astrid, hans betrodde kollega.En: Next to him stood Astrid, his trusted colleague.No: Hun ristet på hodet mens hun blader om mikroskoper på nettbutikken.En: She shook her head as she browsed for microscopes on the online store.No: "Vi har ikke råd til det dyreste mikroskopet, Sindre," sa hun bestemt.En: "We can't afford the most expensive microscope, Sindre," she said firmly.No: Hennes røde hår lyste opp i lyset fra skjermen.En: Her red hair lit up in the light from the screen.No: "Vi må være smarte med budsjettet.En: "We have to be smart with the budget."No: "Liv, laboratoriets ivrige intern, holdt pusten mens hun lyttet.En: Liv, the laboratory's eager intern, held her breath as she listened.No: Hennes begeistring for vitenskap lyste i hennes øyne.En: Her excitement for science shone in her eyes.No: "Hva med å velge et som ikke er det dyreste, men som fortsatt er svært bra?En: "What about choosing one that isn't the most expensive, but is still very good?"No: " foreslo hun spent.En: she suggested excitedly.No: Sindre sukket.En: Sindre sighed.No: Han ønsket, mer enn noe annet, det aller nyeste mikroskopet.En: He wanted, more than anything, the very latest microscope.No: "Men dette har den beste oppløsningen," mente han.En: "But this one has the best resolution," he argued.No: "Det kan være forskjellen mellom å lykkes og mislykkes.En: "It could be the difference between success and failure."No: "Men Astrid ga seg ikke.En: But Astrid did not relent.No: "Vi trenger penger til andre prosjekter også," svarte hun.En: "We need money for other projects too," she replied.No: "Og vi kan ikke bruke alt på én ting.En: "And we can't spend it all on one thing."No: "Debatten var oppe.En: The debate was on.No: Tonene ble mer intens.En: The tones became more intense.No: Stemningen i det bryggende laboratoriet, med sine kalkaktige vegger og blinkende skjermer, ble anspent.En: The atmosphere in the brewing laboratory, with its chalky walls and blinking screens, became tense.No: Men midt i diskusjonen, slo en idé plutselig ned i Sindre.En: But in the midst of the discussion, an idea suddenly struck Sindre.No: Hva om han kunne finne et kompromiss?En: What if he could find a compromise?No: Et mikroskop som var nær det beste, men til en bedre pris?En: A microscope that was close to the best but at a better price?No: "Vent litt," sa han plutselig.En: "Wait a minute," he said suddenly.No: "Hva om vi ser etter et mikroskop som er tilpasset vårt prosjekt spesifikt?En: "What if we look for a microscope that's tailored specifically to our project?No: Vi trenger ikke alt det nyeste, bare det som forbedrer akkurat det vi jobber med nå.En: We don't need all the latest features, just what improves exactly what we're working on now."No: "Astrid så på ham.En: Astrid looked at him.No: "Du har rett," sa hun med et lite smil.En: "You're right," she said with a small smile.No: "Det er en smart løsning.En: "That's a smart solution."No: "Liv nikket ivrig, glad for at deres behov ble møtt både vitenskapelig og økonomisk.En: Liv nodded eagerly, glad that their needs were met both scientifically and economically.No: "La oss gjøre det!En: "Let's do it!"No: "De tre forskerne brukte resten av dagen på å lete gjennom forskjellige modeller.En: The three researchers spent the rest of the day searching through different models.No: Til slutt fant de et mikroskop som hadde fantastiske spesifikasjoner for nettopp deres formål, og det var innenfor budsjett.En: In the end, they found a microscope that had fantastic specifications for their specific purpose, and it was within budget.No: Ved dagens slutt, mens lysene i laboratoriet blinket ned til nattmodus, følte Sindre en overraskende følelse av tilfredshet.En: By the end of the day, as the lights in the laboratory dimmed to night mode, Sindre felt an unexpected sense of satisfaction.No: Han hadde lært noe viktig.En: He had learned something important.No: Av og til var det klokere å velge samarbeid og fornuft fremfor kun egen ambisjon.En: Sometimes it was wiser to choose cooperation and reason over just personal ambition.No: Den nye retningen i prosjektet ville bli en suksess, takket være alles innsats.En: The new direction in the project would be a success, thanks to everyone's efforts.No: Laboratoriet hvilte stille over dem, en verden av muligheter og nye oppdagelser ventet.En: The laboratory rested quietly over them, a world of possibilities and new discoveries waiting.No: Alt takket være et lite kompromiss og et stort steg mot fremtidens mysterier.En: All thanks to a small compromise and a big step towards the mysteries of the future.No: Sindre, Astrid og Liv var klare for det neste eventyret i vitenskapens verden.En: Sindre, Astrid, and Liv were ready for the next adventure in the world of science. Vocabulary Words:hidden: skjulteexcitement: spenninghumming: summendeelectronics: elektronikksteel-covered: stålbelagteglowing: lysendeattention: oppmerksomhetarticle: artikkelessential: essensiellediscovery: oppdagelsetrusted: betroddeafford: rådbudget: budsjettetintern: internbreathe: holde pustenresolution: oppløsningdebate: debattatmosphere: stemningenbrewing: bryggendechalky: kalkaktigecompromise: kompromisstailored: tilpassetsuggested: foreslospecifically: spesifiktsatisfaction: tilfredshetcooperation: samarbeidreason: fornuftambition: ambisjonpossibilities: mulighetermysteries: mysterier

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Part Two of our recording from the Millennium Running Boston Run To Remember Expo Day covers all the guest we talked to before and after our live stream recording. summaryThis episode features a diverse group of runners, organizers, and enthusiasts sharing their journeys, race experiences, and insights into the vibrant running community around Boston. From first-time half marathoners to seasoned marathoners, discover tips, stories, and the camaraderie that makes running a universal sport. This episode features inspiring stories from runners, advocates, and community leaders, highlighting the importance of perseverance, community support, and accessibility in running. Discover tips for race day, insights into adaptive sports, and how to get involved in local and international races.00:00 Boston Run To Remember Open08:27 Annie and Jess21:21 Stride for Stride32:43 Nathan and Faith44:06 Cressandra56:06 Nyelli01:06:52 Greater Lowell Running Club | Amy and Erin01:15:18 Tom Raffio | Delta Dental01:32:54 Jermin01:42:30 Michaela | OutroMy Race Tatt's - Check out My Race Tatts and support the pod when you buy your next set by using our My Race Tatt's Link.Strava GroupLinktree - Find everything hereInstagram - Follow us on the gram YouTube - Subscribe to our channel Patreon - Support usThreadsEmail us at OnTheRunsPod@gmail.comDon't Fear The Code Brown and Don't Forget To Stretch!

“I think it’s the most exciting period in cancer discovery and development that I’ve experienced over the last 25 years,” says Susan Galbraith, executive vice president of oncology R&D at AstraZeneca. Galbraith joins Bloomberg Intelligence analyst Sam Fazeli fresh from the ASCO conference to unpack how ctDNA, earlier intervention and next-generation oncology platforms could reshape cancer care. They discuss AstraZeneca’s Stride regimen in liver cancer, Serena-6 in breast cancer, progress in pancreatic cancer and the company’s push across ADCs, bispecifics, CAR-T and radio conjugates.See omnystudio.com/listener for privacy information.

Brock and Salk go through some of the Mariners’ stats that make them confident this team has finally caught their stride, and there may not be many weak points left. In Need to Know, late night Mariners texts are a little more optimistic than usual. The Mariners’ continue their hot streak with an 8-3 win over the Mets and Derrick Hall’s extension may end up being a steal, especially considering the contract Boye Mafe got with the Bengals. Do the Seahawks need to make a move to combat the Myles Garrett trade by the Rams, or are the Seahawks staying out of this Arm’s Race?

When the question every injured runner is afraid to ask, "Do I have to stop?",  finally gets a straight answer, it turns out the real story has less to do with the pain itself and more to do with everything the runner wasn't tracking.   Dr. Andrew Fix sits down with Dr. Vikash Sharma, DPT, founder of Perfect Stride Physical Therapy in New York, to talk through managing running injuries, avoiding stress fractures, and building a smart return to running after time off.   Stress fractures get missed more often than they should, and the clue is usually hiding in a two-minute conversation about nutrition and training load. Has your mileage gone up? Has your food intake kept pace? For a lot of runners, the answer to that second question is no.   For soft tissue injuries, Sharma's approach is less about stopping and more about finding a sustainable baseline, trimming the run, filling the rest with cross-training, and using that window to build the strength and mobility that likely broke down first.   The conversation also covers training load management, deload weeks, why most runners' strength work stopped producing results long ago, and what a real return-to-run progression actually looks like.   Find Dr. Vikash Sharma at @vikashsharma_dpt on Instagram or at perfectstridept.com. His clinical education platform for coaches and clinicians is at runningforlifeeducation.     Quotes "Runners run. That's what they want to do, and they'll keep running until the wheels fall off." (09:48 | Dr. Vikash Sharma) "If two months ago you were running X amount of mileage and now you're up 75% from that, but your nutrition hasn't really changed at all, and now you're starting to get signs and symptoms that make me think you have a bone stress injury, a hundred percent we're shutting it down." (10:39| Dr. Vikash Sharma) "Just like training their musculoskeletal system, just like training their nervous system and their brain — we got to train your gut as well." (22:13 | Dr. Vikash Sharma) "Your low days need to be low so that your high days can truly be high days." (32:53 | Dr. Vikash Sharma) "There's always a story behind this human. There is a human in front of you. Just get back to that human element and dig — a lot of your questions will get answered the more they're talking to you." (54:23 | Dr. Vikash Sharma) Connect with Dr. Vikash Sharma: Perfect Stride Physical Therapy Follow Perfect Stride Physical Therapy on Instagram SideKick Tool   Movemate: Award-Winning Active Standing Board 15% off Promo Code: DRA15   RAD Roller   Revogreen   HYDRAGUN    Athletic Brewing 20% off: ANDREWF20     Connect with Physio Room: Visit the Physio Room Website Follow Physio Room on Instagram Follow Physio Room on Facebook Andrew's Personal Instagram Andrew's Personal Facebook     Podcast production and show notes provided by HiveCast.fm

En este tercer RECAP de la Reunión Anual de la Sociedad Americana de Oncología Clínica, el Dr. Fabián Martínez conversa con el Dr. Salvador Víctor, oncólogo médico titular de la clínica de tumores urológicos del Hospital General de México y médico adscrito al Instituto Nacional de Perinatología. La sesión inicia con el abordaje del cáncer de próstata metastásico sensible a la castración a través del estudio TALAPRO-3, el cual propone la adición de un inhibidor de PARP (talazoparib) al esquema de enzalutamida y terapia de deprivación androgénica (TDA) en pacientes con alteraciones en genes de reparación de la recombinación homóloga (como ATM o CHEK2). Asimismo, en el escenario de la enfermedad localizada de alto riesgo, se evalúan los resultados del estudio PROTEUS. En este punto, se cuestiona el posicionamiento de la neoadyuvancia sistémica con apalutamida más TDA frente a la TDA aislada, considerando que el estándar actual no contempla el tratamiento neoadyuvante y que no existió una comparación directa con la radioterapia definitiva.Posteriormente, la conversación se extiende hacia el ensayo EMERALD-3 en hepatocarcinoma irresecable. Se analiza el rendimiento de combinar inmunoterapia (esquema STRIDE) y lenvatinib con quimioembolización transarterial (TACE) frente a la TACE sola. En el área de tejidos blandos, se evalúa el diseño metodológico del estudio fase III SARC-041 en liposarcoma desdiferenciado; los expertos debaten las implicaciones éticas y prácticas de emplear un brazo de control con placebo frente a abemaciclib, a pesar del impacto significativo que demostró este fármaco en la supervivencia libre de progresión. Finalmente, se revisa el estudio fase IIb TRITON en cáncer de pulmón de células no pequeñas avanzado sin alteraciones conductoras clásicas, evaluando cómo la intensificación del tratamiento con doble inmunoterapia y quimioterapia podría revertir la resistencia intrínseca en poblaciones con co-mutaciones en KRAS, STK11 y KEAP1, caracterizadas por un pronóstico adverso.Referencia:Este contenido se basa en la interpretación crítica de la evidencia científica disponible, así como en la experiencia clínica del o los ponentes como profesionales de la salud en instituciones de referencia.Para profundizar en los conceptos discutidos, se recomienda al profesional de la salud consultar literatura científica vigente, guías clínicas internacionales y la normatividad aplicable en su país.

According to the Canadian Mental Health Association in Ontario, up to 90% of Canadians living with serious mental illnesses are unemployed, while individuals with a mental health-related disability face an employment rate of just 46%. Stigma, discrimination, limited workplace accommodations, and a lack of support continue to create significant barriers to meaningful employment and long-term career success. On this episode of Let's Have This Conversation, we sit down with Julie Henshaw, MSW, RSW, Executive Director of Stride, to explore how inclusive employment practices can transform lives, strengthen communities, and create healthier workplaces for everyone. With more than 20 years of experience in the community mental health and addictions sector, Julie brings a compassionate and deeply relational approach to leadership. Her work across residential, community, and hospital settings has given her a comprehensive understanding of Ontario's mental healthcare system and the complex realities facing individuals navigating mental health and addiction challenges. Stride is helping change the conversation around employment by supporting youth (16+) and adults struggling with mental health or addictions as they pursue meaningful work. Through job readiness training, employment coaching, accommodation planning, peer mentoring, workshops, job matching, and employer partnerships, Stride connects often-overlooked candidates with inclusive employers who recognize the value of diverse lived experiences. In this conversation, Julie discusses: Julie also shares insights from her leadership journey, her passion for healthcare design and social policy, and why collaboration, empathy, and encouragement remain at the center of meaningful community impact. This is a powerful conversation about hope, opportunity, inclusion, and the life-changing impact of being seen for your potential instead of your diagnosis For more information: https://stride.on.ca/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Charlie Furbush joins Wyman and Bob for the full hour to talk about the Mariners piggyback situation and if it’s truly beneficial to the team, then they say the Mariners still haven’t hit their peak yet this season and what could the Mariners do today and tomorrow to make up for a bad series against the Royals?

Need financing for your next investment property? Visit: https://www.academyfund.com/ Want to join us in Washington, D.C. on September 29th & 28th? Visit: https://www.10xvets.com/events ____ Travis Peace is the Co-Founder and President of Novum Home Loans, a digital mortgage company built specifically for the military community. After serving as a nuclear surface warfare officer and later holding senior mortgage leadership roles at USAA, he launched Novum to modernize VA lending through technology, efficiency, and mission-driven execution. At Novum, Travis is focused on building a scalable, AI-powered mortgage platform designed to deliver better rates, faster closings, and a trusted experience for veterans and active-duty families. His long-term vision is to become a dominant player in the VA lending space while staying rooted in service and community alignment.  In this episode of the SABM podcast, Scott chats with Travis about: From Nuclear Officer to Mortgage Founder: Travis's transition from Navy leadership to building a veteran-focused digital lending platform. Modernizing VA Lending: The inefficiencies in traditional mortgage processes and how Novum is leveraging technology to streamline approvals and closings. AI in the Mortgage Industry: Using automation and data-driven systems to reduce friction, improve pricing, and enhance borrower experience. Serving the Military Community at Scale: Designing a lending platform built specifically for active-duty service members and veterans. Building a Scalable Digital Platform: Travis's long-term vision to grow Novum into a dominant force in VA home loans while maintaining trust and operational discipline. Timestamps: 00:49 From Navy to USAA 04:40 Why Novum Exists 06:17 Cutting Mortgage Costs 09:15 Loan Types Beyond VA 10:43 Customer Journey Walkthrough 15:27 Finding Focus and Stride 18:29 Scaling Vision and Market Share 21:59 Next Goals Capital Tech Talent 26:08 Lead Sources and Referrals Connect with Travis: LinkedIn | Travis Peace travis@novumhomeloans.com  www.novumhomeloans.com  If you found value in today's episode, don't keep it to yourself—share it with a colleague or friend who could benefit. And if you're a Service Academy graduate ready to elevate your business, we'd love for you to join our community and get started today. Make sure you never miss an episode. Subscribe now and help support the show: Apple Podcasts Spotify Leave us a 5-star review! A special thank you to Travis for joining me this week. Until next time! -Scott Mackes, USNA '01  

Welcome to the Atl Dreamin Podcast with E-dub and Yakiri. In this podcast we talk about the Atlanta Dream wins over the Dallas Wings and Phoenix Mercury What did we like?What did we hate? What do we want to see? Join the fun and spread the word and subscribe to the podcast. X - ⁠‪@ATL_DreaminPod‬⁠ X - ⁠‪@Hawksbeat‬⁠ X - ⁠‪@chicksintosports‬

Alanna Rizzo, Katie Woo, and Clint Pasillas welcome Dodgers play-by-play man Stephen Nelson to the show! But first, the hosts dive into a team that has won 10 of its last 12 games (1:00). Are the Dodgers hitting their stride or is there still work to be done? (4:13) Kiké Hernandez made his 2026 debut and was an immediate impact player. Thoughts on the return of the vibes and the elbow injury that neutralized him last season. (9:46) Friend of the show Stephen Nelson makes his triumphant return to DT and shares his thoughts on the team, Shohei Ohtani's dominance on the mound, Roki Sasaki's growth, and much more!

Britain is paying more to borrow than any other major Western economy. So why is Labour preoccupied with internal power struggles? In a special live address, Shadow Chancellor Mel Stride delivers his account of Britain's fiscal predicament and the Conservative Party's plan to fix it.Our borrowing costs are the highest in the G7, higher even than Portugal, Spain and Greece – not primarily because of the deficit or the debt stock, but because Britain has become an inflation outlier, and markets are pricing in the risk that the situation gets worse. When Josh Simons stepped aside for Andy Burnham on a single Friday, yields jumped 18 basis points. Stride puts a number on it: Burnham penalty that if sustained would cost the equivalent of £300 per working household.The broader charge sheet against the current government includes: a deficit that ran 75% above inherited plans in Labour's first year and again in its second; a quarter of a trillion pounds in additional borrowing across a single Parliament; fiscal rules changed to permit more borrowing the moment they became inconvenient; and a Prime Minister too weakened by his own MPsto make the welfare reforms even his Chancellor admits are needed.Against this, Stride sets out the Conservatives' golden rule – for every pound of savings identified, at least half goes to deficit reduction – and makes the case that the Tories' plan is the only serious fiscal commitment on offer. Reform's numbers don't add up, he argues, and its representatives have said so themselves on air. Labour's leadership contenders are, in their different ways, each a version of the same problem.Following his speech, the Shadow Chancellor takes questions on quantitative tightening, the triple lock, the OBR's limitations, defence investment and the EU.Stay informed with CapX's unmissable daily briefings from the heart of Westminster. Go to capx.co to subscribe. Hosted on Acast. See acast.com/privacy for more information.

Maryland GOP delegates Mark Fisher and Biran Chisholm call Chinese American and Democratic state delegate Chao Wu a Chinese spy. Maryland puts Ozempic under upper payment limits for state and local entities. Montgomery County Council took emotional straw votes last week on next year's capital and operating budgets. Maryland Public Service Commission steps back from its plan to curb excessive investment in gas delivery infrastructure by utility companies. A former Montgomery County employee in the Office of Human Resources alleges discrimination and denial of disability accommodations in that office. And more. Music by Silver Spring rock musician MYSTR Treefrog.

In this episode, Deb Coviello sits down with Shaun Grove, CEO of Stride Fitness and seasoned fitness franchising executive. Shaun's career path is anything but conventional — from playing college and professional football, to practicing law, to becoming an FBI agent, to scaling Club Pilates from 11 locations to 150+ under Exponential Fitness. He shares what it really takes to build a franchise system that lasts, why the "grow fast or die slow" mindset can be dangerous, and why he believes the future of fitness lies at the intersection of cardio, strength training, and recovery — all under one roof. Whether you're a C-suite leader, an aspiring entrepreneur, or a fitness enthusiast, this episode is packed with hard-won wisdom about leadership, systems, and building something that truly scales. Episode Highlights: 9:01 — Acquiring Stride Fitness and Leading Through a Messy Transition Shaun describes how he took over Stride Fitness, which had 17 struggling locations, and gave franchisees a transparent choice: evolve, go independent, or exit. His willingness to help owners on their terms — working with landlords and lenders — set the tone for the kind of leader he is and the culture he was building. 11:47 — Why a Law Degree Makes You a Better Leader (In Any Field) Shaun reflects on how the critical thinking, communication, and problem-solving skills developed in law school have been invaluable across every role he's held — from litigator to FBI agent to franchise CEO. A reminder that foundational skills transfer far beyond the career path you started on. 17:58 — The Biggest Lesson in Franchising: You're in the Royalty Business Shaun delivers one of the most important insights in franchising: your success as a franchisor is entirely tied to the success of your franchisees. Selling territories is not the goal — getting those locations open, profitable, and sustainable is. This mindset shift is what helped Club Pilates grow responsibly and predictably. 25:38 — The Future of Fitness: Cardio + Strength + Recovery in One Place Shaun explains the vision behind the redesigned Stride Fitness model — a 2,000–2,800 sq ft boutique studio blending cardio, strength training, and recovery (massage chairs, compression therapy, red light therapy, and myofascial release) into a single membership. He argues that strength training is the missing piece in most fitness routines, especially for longevity. Shaun Grove is the CEO of STRIDE Fitness, a boutique studio concept blending cardio, strength, and recovery under one roof. A former attorney and FBI agent turned fitness franchising executive, Shaun previously served as President of Club Pilates — growing it from 11 locations to 700+ worldwide — before acquiring and redesigning STRIDE with a bold new vision for the future of fitness. Connect with Shaun:https://www.linkedin.com/company/stride-franchisehttps://www.instagram.com/stridefitness_huntingtonbeach/ For more information about my services or if you just want to connect and have a chat, reach out at: https://dropinceo.com/contact/See omnystudio.com/listener for privacy information.

Fri, 08 May 2026 20:30:00 GMT http://relay.fm/rd/286 http://relay.fm/rd/286 Ain't Nothin' Gonna Break My Stride 286 Merlin Mann and John Siracusa In order to proceed with the extraction, John has needed to evolve his approach. In order to proceed with the extraction, John has needed to evolve his approach. clean 6594 In order to proceed with the extraction, John has needed to evolve his approach. This episode of Reconcilable Differences is sponsored by: Vitally: Your Copilot for AI-Powered Customer Success. Get a free pair of AirPods Pro when you book a qualified meeting. Links and Show Notes: In order to proceed with the extraction, John has needed to evolve his approach. In this month's member bonus segment, your hosts discuss homework. You can sign up today to hear all the member episodes, get more bonus stuff, and help support our program. Recorded on Tuesday, April 28, 2026 Credits Audio Editor/Merlin's Handler: Jim Metzendorf Admin Assistance: Kerry Provenzano Music: Merlin Mann The Suits: Stephen Hackett, Myke Hurley Get an ad-free version of the show, plus a monthly extended episode. Reconcilable Differences #224: A Second Lap of the BabiesMaybe the episode where we talk about Dole raisins? GoodLinksJohn's link-tracking app. American cheese - Wikipedia Emulsified, by Yo La Tengo - YouTube Visualizing The Simpsons episode ratings - Reddit John's 24-second Marathon video - YouTube Break My Stride, by Matthew Wilder - YouTube Break My Stride, by Matthew Wilder - Wikipedia John explains his Destiny music videos - Hypercritical.co

Fri, 08 May 2026 20:30:00 GMT http://relay.fm/rd/286 http://relay.fm/rd/286 Merlin Mann and John Siracusa In order to proceed with the extraction, John has needed to evolve his approach. In order to proceed with the extraction, John has needed to evolve his approach. clean 6594 In order to proceed with the extraction, John has needed to evolve his approach. This episode of Reconcilable Differences is sponsored by: Vitally: Your Copilot for AI-Powered Customer Success. Get a free pair of AirPods Pro when you book a qualified meeting. Links and Show Notes: In order to proceed with the extraction, John has needed to evolve his approach. In this month's member bonus segment, your hosts discuss homework. You can sign up today to hear all the member episodes, get more bonus stuff, and help support our program. Recorded on Tuesday, April 28, 2026 Credits Audio Editor/Merlin's Handler: Jim Metzendorf Admin Assistance: Kerry Provenzano Music: Merlin Mann The Suits: Stephen Hackett, Myke Hurley Get an ad-free version of the show, plus a monthly extended episode. Reconcilable Differences #224: A Second Lap of the BabiesMaybe the episode where we talk about Dole raisins? GoodLinksJohn's link-tracking app. American cheese - Wikipedia Emulsified, by Yo La Tengo - YouTube Visualizing The Simpsons episode ratings - Reddit John's 24-second Marathon video - YouTube Break My Stride, by Matthew Wilder - YouTube Break My Stride, by Matthew Wilder - Wikipedia John explains his Destiny music videos - Hypercritical.co

The Knicks crushed the Sixers last night. Have they solidified themselves as the best team in the East? Ant Edwards returned last night to lift the Wolves over the Spurs. How do we feel about his comeback vs. Tatum sitting out? Also, the Mavs hired Masai Ujiri as their President. How do they keep doing this? Plus, what is the Rockets plan with Kevin Durant? Learn more about your ad choices. Visit podcastchoices.com/adchoices

These episodes of #thePOZcast, live from Transform 2026 in Las Vegas, are proudly brought to you by our friends at Overalls What if your employees had one central hub to handle real life? Meet Overalls. A smarter way to support your team, combining expert human LifeConcierges™ with AI to solve everyday challenges across healthcare, caregiving, benefits, insurance, finances, life admin, and more. From start to finish, Overalls handles the details — using existing benefits where they fit, and filling in the gaps where they don't. So employees save time, reduce stress, and stay focused at work, while employers boost engagement and get more value from their benefits. Overalls is redefining how work supports life, helping employee teams from Reddit, Patreon, BeatBox, and more cross pesky to-dos off their lists every day. Learn more at https://getoveralls.com/?utm_source=podcast&utm_medium=podcast&utm_campaign=pozcast Thanks for listening, and please follow us on Insta @NHPTalent and www.youtube.com/thePOZcast For all episodes, please check out www.thePOZcast.com About:  Nancy Hauge , Chief People Experience Officer  Nancy oversees all "people" functions worldwide at Automation Anywhere, including talent acquisition, communication, total rewards, learning and development, engagement, DEI, and Social Impact. She brings more than 30 years of experience in senior leadership and management consulting roles. Prior to joining Automation Anywhere, she was the chief people officer at HotChalk, where she was responsible for all people functions, legal, and facilities. Before that, Nancy served as the SVP of global human resources and facilities at Silicon Image through its 2015 acquisition, and as SVP of human resources for K12 Inc. (STRIDE) through its 2007 IPO. She also has executive experience at Ruckus Network, Noah's New York Bagels, Gymboree Corporation and Sun Microsystems.  She was recognized by HRO Today as CHRO of the Year 2023, for Innovation.  Additional recognition includes being named by HR Leadership as one of the Top 100 HR Tech Influencers for 2021, by HRO Today as a Leader of Distinction in North America in 2019. She is also a recipient of the "Stevie Awards" for women in high tech and was named by the Silicon Valley Business Journal as one of the "100 Women of Influence" in Silicon Valley both in 2015. Nancy has served on the Board of Regents for Holy Names College and the Board of Advisors to The Cameron School of Business at The University of North Carolina, Wilmington.  What you didn't know: Nancy started her career in comedy. Writing and performing. Of course, Nancy admits that she is lucky she wasn't very good at that or she would not be here today. Key Takeaways: 1. People Are the Most Unpredictable — and That's the Point Nancy's reason for still loving HR after 45 years: no two days are ever the same, because people will always surprise you. That unpredictability isn't a bug in the people function — it's what makes it the most creative, human-centered role in any organization. 2. AI Agents Should Do the Work Humans Shouldn't Have to Do The real promise of AI in HR isn't efficiency for its own sake — it's freeing humans to do what humans are actually best at. Reviewing resumes, scheduling interviews, and answering repetitive benefit questions should be automated. Creativity, judgment, and connection should not. 3. The Referral Agent Changes How Jobs Get Designed Automation Anywhere's referral agent is a glimpse at the future of workforce planning: as a new job description is written, AI maps it to existing tools in the catalog and recommends what else needs to be built. Jobs are no longer just roles — they're a design challenge. 4. The Future of Benefits Is Bespoke, Not Bulk Volume-purchased, one-size-fits-many benefits packages are a legacy model. Millennials and Gen Z expect benefits that match their actual life — their family structure, their life stage, their specific needs. Companies that don't move toward personalization will lose the talent war to those that do. 5. Benefits Are How You Reach Into the Family Nancy's reframe: benefits aren't just a compensation component — they're the one place a company can make an employee's family a partner in retention. When a company helps with a night nurse, fertility support, or postpartum care, the family notices. And families influence career decisions. 6. The Night Nurse Benefit Generated the Most Emotional Response of Nancy's Career Of all the benefits Nancy has implemented across 45 years, a night nurse support service for new parents produced the most extraordinary emotional response she has ever received from employees. It's a reminder that the highest-impact benefits often aren't the most expensive — they're the most human. 7. AI Agents Can Surface Benefits at the Exact Moment They're Needed The awareness and adoption problem in benefits is real: employees don't think about benefits until they need them. AI agents that detect life changes — a new dependent added to insurance, a leave request filed — and proactively surface relevant benefits solve this problem at scale, without requiring HR to monitor or manage it manually. 8. People Share More With Agents Than With HR — and That's a Feature Employees are more willing to disclose sensitive, personal information to an AI agent than to a human HR representative, because there's no fear of judgment or career consequences. That confidentiality drives benefit utilization and gives companies a more accurate picture of what employees actually need. 9. Great Alumni Are Part of the Benefits ROI Nancy's two-vector framework for benefits ROI — retention and human wellness — includes something most people skip: the alumni experience. The goal isn't just to keep employees as long as possible. It's to make them feel so well-cared-for that when they leave, they become ambassadors. That has real, lasting value. CHAPTERS: 00:00 – Introduction: Adam welcomes Nancy Hauge — whose favorite color is puce — and sets up a conversation with one of the most experienced people leaders in the series. 02:00 – Meet Nancy & Automation Anywhere Nancy introduces herself as Chief People Experience Officer and describes Automation Anywhere's AI agent platform — built to help enterprises manage agentic solutions across their entire tech stack. 04:00 – Why 45 Years in HR Never Gets Old Nancy's answer to what keeps her energized after four-plus decades: people are the least predictable thing in the world, which makes HR the most creative function in any business. 06:30 – The Greatest Innovation in HR Tech Nancy's take on the biggest recent leap: AI agents that remove human bias from processes, hand repetitive work back to machines, and free people to do what they're actually best at — creativity and problem solving. 09:00 – The Referral Agent: AI Redesigning Job Descriptions A specific innovation at Automation Anywhere: an AI agent that, as a job description is written, maps it to existing agents in the catalog and recommends new ones to build — fundamentally changing how work gets designed. 12:00 – The Future of Benefits Is Bespoke Nancy's bold prediction: one-size-fits-many benefits are on the way out. The next generation of workers — Millennials and Gen Z — expect à la carte, concierge-level solutions tailored to their life and their family, not volume-purchased packages. 15:00 – Benefits Reach Into the Family A reframe that changes how you think about total rewards: benefits are the one place a company can reach into an employee's family and make them partners in retention. That's a responsibility — and an opportunity. 17:30 – The Night Nurse Benefit The benefit that generated the most emotional response Nancy has ever seen in her career — a post-birth night nurse support service — and why the reaction from employees was extraordinary. 21:00 – AI Agents Driving Benefits Awareness How Automation Anywhere uses AI agents to proactively surface the right benefits at the right moment — detecting life changes like a new baby on insurance and prompting employees with relevant support before they even think to ask. 24:00 – Confidentiality & the Trust Factor Why employees are more likely to share vulnerable, personal information with an AI agent than with HR — no judgment, no performance review implications, no office gossip. And why does that drive benefit utilization? 26:30 – Justifying Benefits ROI on Two Vectors Nancy's framework: retention is one vector, human wellness and happiness is the other. And the goal isn't just keeping people — it's creating great alumni who leave saying the company genuinely cared about them. 29:00 – The 5-Year Century Nancy previews her upcoming book, co-authored with Automation Anywhere's CEO, publishing May 19th via Wiley — about how rapidly everything is changing and how AI agents are going to help humanity tackle its biggest challenges.

The Knicks crushed the Sixers last night. Have they solidified themselves as the best team in the East? Ant Edwards returned last night to lift the Wolves over the Spurs. How do we feel about his comeback vs. Tatum sitting out? Also, the Mavs hired Masai Ujiri as their President. How do they keep doing this? Plus, what is the Rockets plan with Kevin Durant? Learn more about your ad choices. Visit podcastchoices.com/adchoices

Scouting for Girls frontman Roy Stride achieved global fame and number-one albums, but behind the scenes, he was wearing a mask. For 25 years, he used alcohol to bridge the gap between his public persona and a deep-seated feeling of never being "enough," eventually spiraling into a high-functioning nightmare of secret drinking and pre-show panic attacks.In this episode, Roy pulls back the curtain on the exhaustion of the "secret life." He reveals the extreme lengths he went to hide his addiction, from filling non-alcoholic cans with real beer to drinking 30 units a day while on tour. Roy also discusses the moment his dream became a prison, his initial skepticism of recovery, and how leaning into the "weirdness" of AA saved his marriage, his career, and his life. This is a powerful exploration of why life in recovery is infinitely better than the "belonging" found in a bottle.This episode covers the following themes: Addiction, High-Functioning Anxiety, Recovery, and Finding Belonging.'Scouting for Girls' new album These Are The Good Days' is out nowNeed Support?Samaritans: Call 116 123 or visit samaritans.orgNarcotics Anonymous: na.orgAlcoholics Anonymous: alcoholics-anonymous.org.ukMental Health Mates: mentalhealthmates.co.ukShout: https: giveusashout.orgIAPT: https://www.england.nhs.uk/mental-health/adults/nhs-talking-therapies/Heights

Cybersecurity practitioners face a persistent methodological problem: how should we reason about intelligent adversaries who observe our defenses, adapt their tactics, and choose targets based on our vulnerabilities? The field has responded with a fragmented toolkit. Quantitative risk assessment borrowed from safety engineering treats threat, vulnerability, and consequence as independent terms. Threat modeling frameworks such as STRIDE and attack trees emphasize structure but rarely quantify uncertainty. Game-theoretic models assume rationality and common knowledge that real attackers do not exhibit. Qualitative heat maps compress uncertainty into colored cells that cannot support budget optimization.This talk surveys these approaches critically, examining what each method commits you to and what it quietly sets aside. A common thread emerges: the alternatives can be understood as approximations to a Bayesian decision-theoretic ideal, each relaxing one or more assumptions for tractability. Modeling an adversary requires addressing four dimensions of uncertainty (what they want, what they know, what they can do, and how they decide) and the standard critiques of probabilistic cyber risk analysis (information asymmetry, correlated inputs, adaptation, the absence of objective base rates) turn out to be errors of naive practice rather than indictments of the methodology itself. Threat intelligence feeds, indicator matches, and shifts in attacker tradecraft fit naturally as Bayesian updates rather than as awkward inputs to frequentist frameworks. The survey closes not with a prescription but with a diagnostic question for practitioners and researchers alike: are the assumptions embedded in your chosen method appropriate for the decision you are trying to support? About the speaker: Pragathi Jha is a doctoral researcher in Industrial Engineering at Purdue University, where her work focuses on optimization, stochastic modeling, and game-theoretic approaches to decision-making under uncertainty. Her research lies at the intersection of operations research, applied probability, and strategic interaction, with an emphasis on developing rigorous mathematical frameworks for complex, adversarial systems.Her academic interests include multi-stage stochastic optimization, game theory, and the modeling of strategic behavior in dynamic environments. In the context of cybersecurity, she is particularly interested in adversarial decision-making, risk-aware resource allocation, and the design of resilient systems that account for uncertainty and strategic threats. Her work aims to bridge theoretical advances in optimization and game theory with practical applications in security, infrastructure protection, and data-driven decision support.Pragathi brings a strong foundation in quantitative methods and is committed to advancing research that is both mathematically rigorous and operationally impactful. Through her work, she seeks to contribute to the development of robust, scalable frameworks for analyzing and mitigating risks in complex, high-stakes environments.

Mike Switzer interviews Craig Kinley, coordinator of the STRIDE program at the Watt Family Innovation Center at Clemson University.

Thank you, Striders. The response to last week's episode really moved me. The shoutouts and questions that came in reminded me of why these conversations matter so much. Last week we talked about the things in life we are constantly training for, and I used the example of my dogs, because raising them into their best selves has always been an ongoing process of patience and intention. The other example I shared was my nephew Logan, who is competing in an Ironman this weekend. Watching him prepare for this has been something else entirely. An Ironman is a 2.4 mile swim, followed by a 112 mile bike ride, then a full marathon on top of that. He will likely be out there for twelve hours or more. He did not arrive at this start line overnight. He got there through small, steady, intentional steps, building his mileage, learning how to transition between each leg of the race, figuring out how to fuel his body, his mind, and his heart along the way. The training was never just physical. It was about showing up consistently, managing setbacks, honoring short and long term goals, and knowing what he needed in order to keep going when things got hard. Your excitement about last week's episode inspired me to take this idea even further. So many of us are doing something similar every single day, just without the race bib. On today's Wise Walk, we are slowing down to ask ourselves what our Ironman-like event really is, and what we are doing to prepare our body, mind, and heart to go the full distance. What is your Ironman-like event that you have your sights set on, and how are you mentally preparing to take small steps through the planning, the wins, the setbacks, and the short-, medium-, and long-term goals? How are you managing your time and stress as you prepare for this event, knowing that stress is part of taking on something meaningful? How are you fueling your body, your heart, and your mind so you can stay resilient and keep moving forward when challenges arise? As you reflect on this event, how are you rallying support, what are you asking for, who are you asking, and are you clearly expressing why this matters to you? Where can you plan and prepare with focus, discipline, and commitment so you are set up for success, and where might you need to make sacrifices? What needs to come off your plate right now, and what are you trying to juggle that may be draining your energy before, during, or after this event? How are you planning to recover so you can feel aligned and supported once the event is complete? How can you pace yourself with everything you have going on so you finish strong and set yourself up to take on what comes next? I would love to hear what you're preparing for and how you're fueling yourself through it, before, during, and after. Reach out, I'm cheering you on. Don't forget to rally your support so you can set yourself up for success. I'll see you next Thursday for another Wise Walk, and until then, please remember to prioritize fun as you read the signs, direct your path, and get your Stride on. In this episode: [04:29] One of the Ironman type events I'm taking on is moving. I found a home. I am mentally, emotionally, physically preparing myself for the big moving event.  [05:50] I also want to prepare for the heaviness of unpacking. My sister Heather is going to be there for me. One of the things we can do when training for an Ironman event is rally support.  [07:49] One of my loved ones, who will be cheering Logan on, has diabetes. She has been trying to master keeping her blood sugar in check while traveling. She's taking on her own major Ironman challenge. [09:42] We have Ironman-like events in our lives everyday, because it is overcoming hardship.  [11:27] I need to prepare for my move by keeping myself mentally and physically strong. Core strength is critical.  [12:56] I also cancelled some things that I've signed up for. I won't be settled, so I needed to cancel.  [15:09] Logan has an awesome community that he trains with. He was given the advice to take his time, and to stop and remove the discomfort when it surfaces.  [17:18] I'm going to try and slow down during this major move. [18:51] Logan also received the advice that you can go further if you go slower. [19:08] Pace yourself to avoid burnout. It requires an intentional focus and pace.  Memorable Quotes: "You don't arrive at your biggest moments overnight. You build toward them, one small, intentional step at a time." - Mary Tess "Whatever you're facing right now might not look like an Ironman to anyone else, but if it stretches you, it counts." - Mary Tess "Pacing yourself is not falling behind. It's how you make sure you actually finish strong." - Mary Tess Links and Resources: Mary Tess Rooney Email Heart Value Facebook | LinkedIn | Twitter | Instagram

Hurricanes reporter Walt Ruff on the success of the Stankoven line in the series, Canes stars looking to break through, the play of Freddy Andersen, and the Canes PK.

Send us Fan MailAYOOOOO welcome back to luck managment. For some reason, everything can't be perfect. Novel idea right??? I mean so much can go right and then one thing goes wrong and the whole day feels like a loss. Everything falls in the balance.... nope! The Luck Management Lifestyle is handling adversity (no matter how much your mic turns off on you or you suck at mens league softball). Bounce back and don't let the 1% bad ruin the 99% good! That's not how you live, you bounce back and assess so you can be your best. That's the luck management lifestyle. Keep Living it. Support the showInstagram: @luck_managementApple Podcasts: https://podcasts.apple.com/podcast/id1637190216Spotify: https://open.spotify.com/show/4JsxM55BY6tRlGzJCiUnvzBrought to you by CharmND. Check us out on Instagram @charm_ND & @CharmNDShop on EtsyKeep living The Luck Management Lifestyle! 

On today's show, we learn what lawmakers are deciding to spend money on, and perhaps most importantly, what not to spend money on. We also consider what it takes to adapt "Pride and Prejudice" for a TheatreSquared production. Plus, we learn about a documentary detailing the fight for the Kiamichi River.

Jonathan Frakes, Kitty Swink, and Armin Shimerman join Anthony and Laurie to talk about PanCAN, the Pancreatic Cancer Action Network, and the Purple Stride walk to support it on April 25. They talk about the importance of identifying symptoms early and making sure you see a doctor who knows about pancreatic cancer, and the joy of doing the walk with friends and supporters. Everyone also talks some Trek, taking a look at where the franchise is now (in a post-Academy and Strange New Worlds world), the state of the fandom, and a bit of TNG and DS9 history. They also talk about changes in the industry, like mergers and using AI to replace actors. The wrap up with a reminder to walk, donate, or share all the info about PanCAN and Purple Stride.

Jonathan Frakes, Kitty Swink, and Armin Shimerman join Anthony and Laurie to talk about PanCAN, the Pancreatic Cancer Action Network, and the Purple Stride walk to support it on April 25. They talk about the importance of identifying symptoms early and making sure you see a doctor who knows about pancreatic cancer, and the joy of doing the walk with friends and supporters. Everyone also talks some Trek, taking a look at where the franchise is now (in a post-Academy and Strange New Worlds world), the state of the fandom, and a bit of TNG and DS9 history. They also talk about changes in the industry, like mergers and using AI to replace actors. The wrap up with a reminder to walk, donate, or share all the info about PanCAN and Purple Stride.

This special episode shines a spotlight on PurpleStride, the nationwide walk to end pancreatic cancer, and the powerful community behind Trek Against Pancreatic Cancer. I'm joined by two extraordinary guests—Armin Shimerman (Star Trek: Deep Space Nine's Quark) and his wife, actor and pancreatic cancer survivor Kitty Swink—for a heartfelt, inspiring, and deeply personal conversation. We talk about the upcoming PurpleStride event at the Santa Monica Pier, the lifesaving work of PanCAN (Pancreatic Cancer Action Network), and the stories of courage, loss, and resilience that fuel this movement. From promising new drug trials to the emotional testimony of a woman who recently completed her walk while battling cancer, this episode is a reminder of why awareness and research matter. And because it wouldn't be a conversation with Armin without diving into Trek, we also explore the legacy of Deep Space Nine, the mystery behind the end of Starfleet Academy, Sirroc Lofton's return as Jake Sisko, and how James Darren found his voice again thanks to DS9. Donate to Team Trek Against Pancreatic Cancer Donate to My Team  

A successful homestand for the Atlanta Braves highlights the resurgence of Austin Riley's power at the plate. Discussion also addresses the complicated landscape of sports broadcasting and the difficulty fans face when navigating various streaming platforms to watch local games. 01:00 - Homestand Recap and Riley's Return 06:49 - Phillies Series and Broadcast Shifts 09:31 - Navigating Sports Streaming Confusion

On Episode 845 of The Core Report, financial journalist Govindraj Ethiraj talks to Siraj Hussain, Former Secretary at the Ministry of Agriculture and Ministry of Food Processing.SHOW NOTES(00:00) The Take(05:00) Why markets might absorb the ceasefire talk breakdown in their stride.(10:17) Oil shocks are now spreading to Europe as realisation dawns.(12:43) Dubai is restricting flights from India.(13:16) Understanding India's fertiliser supply challenges even as the planting season approaches.For more of our coverage check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠thecore.in⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow us on:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Linkedin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube⁠⁠⁠⁠⁠⁠

"Tim Graham And Friends" brought to you by CTBK digs into the Sabres' identity entering the playoffs, Bills mock drafts and new St. Bonaventure men's basketball coach Mike MacDonald.

Singer Roy Stride joins Johnny Seifert on Secure The Insecure this week.Roy opens up about the nostalgic success of Scouting For Girls with the rise and fall of being at the top of the charts, why Roy turned down doing reality shows, the big learning lesson from The Capital Summertime Ball 2010 and Roy opens up about his mental health and sobriety journey.These Are The Great Days is out to stream now and you can see Scouting Girls on tour by visiting www.scoutingforgirls.os.fan Secure The Insecure is the podcast that airs on Mondays available to watch on Youtube or listen to on Apple Podcasts and Spotify. Make sure you subscribe/rate/review where you are watching or listening to Secure The Insecure.Follow Johnny Seifert on Social Media:Instagram: www.instagram.com/johnnyseifertInstagram: www.instagram.com/securetheinsecurepodcastTikTok www.tiktok.com/johnnyseifert92 Hosted on Acast. See acast.com/privacy for more information.

Are JT and JB the best duo of all time? // Looking at the Celtics' rotations for the upcoming playoffs // Ted thinks the Bruins are playing their best hockey of the season //

Season 7 of the Be More Today Show continues with NASM Certified Personal Trainer and Co-Captain of the Boogie Down Bronx Runners Jose Bravo. Join our conversation as we discuss The Speed Project, how to stay focused on your fitness goals, and how mastering the middle of your journey is where the real foundation is built. For more information about the Boogie Down Brown Runners or about training tips follow Jose Bravo on IG @jbrav023 and @boogiedownbronxrunners. To support Dr. Thomas' Boston's Marathon fundraiser with Stride for Stride click here: https://www.givengain.com/project/sean-raising-funds-for-stride-for-stride-109426For all other questions visit www.bemoretoday.com. Subscribe today and be a part of the Be More Today family.

The High Republic Phase "More" lands with a compelling murder mystery, rescue mission and an eager to leap Jedi padawan as Dark Horse Comics' The High Republic Adventures -- Pathfinders #1 starts the six-issue mini-series off perfectly.Comics Discussed This Week:The High Republic Adventures -- Pathfinders #1 (of 6)Star Wars Comics New to Marvel Unlimited This Week:
Jedi Knights #10 (of 10)
News:Over at GamesRadar+ there's a brief advanced look at April 22's Star Wars: Galaxy's Edge -- Echoes of the Empire #1 (of 5) by Ethan Sacks, Jethro Morales and Roi Mercado. Main cover's by Phil Noto.Marvel's June Star Wars comics solicits feature three titles, while Dark Horse's July solicits feature a single title.Dec. 22 is the release date for Marvel's Star Wars Legends: The Menace Revealed Omnibus Vol. 1. It collects Star Wars: Jango Fett - Open Seasons (2002) 1-4, Star Wars (1998) 7-35; material from Star Wars Tales (1999) 8, 13, 21-24; Dark Horse Extra (1998) 35-37 and Dark Horse Presents Annual 2000.
Upcoming Star Wars comics, graphic novels and omnibuses:March 31 _ Legacy of Vader: The Reign of Kylo Ren Vol. 2 TPB (Collects 7-12)April 8 _ Shadow of Maul #2 (of 5)April 14 _ Jedi Knights Vol. 2 - A Higher Path TPB (Collects 6-10), Star Wars Visions TPB (Collects Visions -- Peach Momoko #1, Visions -- Takashi Okazaki #1, Peach Momoko's Story from Darth Vader -- Black, White & Red #1)April 21 _ The High Republic Phase III -- Trial of the Jedi Omnibus (Collects 2023's The High Republic 1-10, Revelations #1's High Republic story, The Acolyte — Kelnacca one-shot, Shadows of Starlight 1-4, Fear of the Jedi 1-5, The Finale #1: The Beacon one-shot); The Mandalorian -- Seasons One & Two (Collects #1-8 of both mini-series), Jedi Knights Vol. 2 TPB (Collects 6-10); Hyperspace Stories: Tides of Terror TPB (Collects 1-4)April 22 _ Galaxy's Edge: Echoes of the Empire #1 (of 5)April 28 _ Han Solo -- Hunt for the Falcon TPB (Collects 1-5)May 5 _ The High Republic Adventures -- The Complete Phase II (1-8, Nameless Terror 1-4, Quest of the Jedi one-shot)May 6 _ Rogue One -- Cassian Andor #1 One-Shot, The High Republic Adventures — Pathfinders #2 (of 6), Hyperspace Stories: The Bad Batch — Rogue Agents #3 (of 4)May 12 _ Star Wars: New Republic (Collects 1-10, material from Free Comic Book Day 2025: Star Wars #1)May 13 _ Shadow of Maul #3 (of 5)May 19 _ Star Wars Legends: Legacy Omnibus Vol. 1 (Collects Star Wars: Legacy (2006) #0, 0-1/2, 1-36, 41); Doctor Aphra — Chaos Agent TPB (Collects 1-5)May 26 _ The High Republic Adventures -- The Complete Phase III Part 1 (Collects The High Republic Adventures (Phase III 1-10), Saber for Hire 1-4 and the Crash Landing and Crash and Burn one-shots)May 27 _ Galaxy's Edge -- Echoes of the Empire #2 (of 5), Hyperspace Stories: The Bad Batch -- Rogue Agents #4 (of 4)June 3 _ Rogue One -- Jyn Erso #1 One-ShotJune 10 _ Shadows of Maul #4 (of 5)June 16 _ Star Wars Legends: The New Republic Omnibus Vol. 3 (Collects Star Wars: Crimson Empire (1997) #0-6, Star Wars: The Bounty Hunters - Kenix Kil (1999) #1, Star Wars: Crimson Empire II - Council of Blood (1998) #1-6, Star Wars: Crimson Empire III - Empire Lost (2011) #1-6, Star Wars: Jedi Academy - Leviathan (1998) #1-4, Star Wars: The Mixed-Up Droid (1995) #1, Star Wars: Union (1999) #1-4, Star Wars: Chewbacca (2000) #1-4, Star Wars: Invasion (2009) #0-5, Star Wars: Invasion - Rescues (2010) #1-6, Star Wars: Invasion - Revelations (2011) #1-5, Star Wars Handbook (1998) #2; material from Dark Horse Extra (1998) #21-24; Dark Horse Presents (2011) #1; Star Wars Tales (1999) #8, 11, 16-19, 21); The Art of Star Wars: A New Hope — The Manga Vol. 1June 17 _ The High Republic Adventures — Pathfinders #3 (of 6)June 24 _ Echoes of the Empire #3 (of 5)July 1 _ Rogue One: Saw Gerrera #1July 7 _ The High Republic Adventures -- The Complete Phase III Part 2 (Collects The High Republic Adventures (Phase III) 11-20, Echoes of Fear 1-4, Dispatches From the Occlusion Zone 1-4 and the one-shots 2025 Annual, The Wedding Spectacular and The Battle of Eriadu)July 21 _ Star Wars Legends: The Newspaper Strips Omnibus (Collects Classic Star Wars: The Early Adventures (1994) #1-9, Classic Star Wars: Han Solo at Stars' End (1997) #1-3, Classic Star Wars (1992) #1-20, Classic Star Wars: A New Hope (1994) #1-2, Classic Star Wars: The Vandelhelm Mission (1995) #1, Star Wars newspaper strips "The Constancia Affair," "The Kashyyyk Depths" and "Planet of Kadril”); Star Wars Modern Era Epic Collection: The Screaming Citadel (Collects Star Wars (2015) #31-43, Star Wars Annual (2015) #3, Star Wars: The Screaming Citadel (2017) #1, Star Wars: Doctor Aphra (2016) #7-8)
July 29 _ The High Republic Adventures -- Pathfinders #4 (of 6)Aug. 18 _ The Art of Star Wars: A New Hope -- The Manga Vol. 2, Star Wars -- Dark Droids Omnibus (Collects Dark Droids 1-5, D-Squad 1-4, Star Wars (Vol. 3) 37-50, Darth Vader (Vol. 3) 37-50, Doctor Aphra (Vol. 2) 35-40, Revelations #1 and Free Comic Book Day 2024 #1)Aug. 26 _ Rogue One: Chirrut & Baze #1Sept. 1 _ Hyperspace Stories -- Mace Windu OGNSept. 8 _ Star Wars: Poe Dameron Omnibus (Collects 1-31, Annuals 1, 2)Sept. 15 _ Smugglers & Scoundrels: The Race for Jabba's Bounty Original Graphic NovelSept. 22 _ Star Wars: Galactic Tales of Terror Library Edition (Collects Tales from the Rancor Pit, Tales from the Death Star and Tales from the Nightlands 1-3); The Bad Batch — Rogue Agents TPB (Collects 1-4)Sept. 30 _ Rogue One: Darth Vader #1Oct. 13 _ Tales From the Outer Rim: The Legend of Beggar's Canyon Original Graphic Novel, Boba Fett -- Black, White & Red Treasury Edition (Collects 1-4)Nov. 24 _ Darth Vader Modern Era Epic Collection: The Chosen One (Collects Darth Vader Vol. 2 1-12, Annual #2)Dec.1 _ Shadow of Maul TPB (Collects 1-5)Dec. 22 _ The High Republic Adventures -- Pathfinders Vol. 1 TPB (Collects 1-6); Star Wars Legends: The Menace Revealed Omnibus Vol. 1 (Collects Star Wars: Jango Fett - Open Seasons (2002) #1-4, Star Wars (1998) #7-35; material from Star Wars Tales (1999) #8, 13, #21-24; Dark Horse Extra (1998) #35-37; Dark Horse Presents Annual 2000)----------------------------------------------------------------------------------------------------------------------------------------Star Wars Splash Page is a weekly podcast dedicated solely to contemporary Star Wars comics published by Marvel, Dark Horse and previously IDW, featuring views about the current week's comics, interviews with the writers, artists, colorists, letterers and editors who create them, as well as the latest details on publishing schedules, upcoming series and mini-series, so that you, the listener have more detail and context about the comics that are a vital part of Star Wars canon, lore and legends.

Season 7 of the Be More Today Show continues as we celebrate National Athletic Training Month with JAG Physical Therapy. Join our conversation with Director of Athletic Training Stephanie LoSchiavo and Manager of Athletic Training Kristyn Lawler as we discuss the athlete's circle of care, how athletic trainers collaborate with other health care professionals, and some tips on how to train smart and safe during this spring season. For more information about the amazing Athletic Training services at JAG Physical Therapy, visit us at www.jagpt.com. To support Dr. Thomas' Boston's Marathon fundraiser with Stride for Stride click here: ⁠https://www.givengain.com/project/sea.... For all other questions visit www.bemoretoday.com. Subscribe today and be a part of the Be More Today family.

Jack the Ripper terrorized Whitechapel in the fall of 1888, killing at least five prostitutes—the canonical five: Nichols, Chapman, Stride, Eddowes, and Kelly. Brutal murders with throat cuts and surgical mutilations. Police received taunting letters, including the infamous “From Hell” with a piece of kidney, but the killer was never identified. He vanished as suddenly as he appeared. One of history's greatest mysteries. Sleep well… if you can.Patreon: https://www.patreon.com/theserialkillerpodcastWebsite: https://www.theserialkillerpodcast.comFacebook: https://www.facebook.com/theskpodcastInstagram: https://www.instagram.com/serialkillerpodX: https://x.com/serialkillerpodSupport this show http://supporter.acast.com/the-serial-killer-podcast. Hosted on Acast. See acast.com/privacy for more information.

Aaron Levy is the Founder of Raise The Bar and Stride, two companies focused on helping companies create high- performing teams by building better leaders. He is the author of the bestselling book Open, Honest, & Direct, the host of Raising The Bar on Leadership Podcast, a Thrive Global contributor, an ICF Certified Coach, and a member of the Forbes Coaches Council. Over the last decade, Aaron has worked with 10,000 business leaders in various industries, inspiring them to define their goals, create tactical action plans, and achieve sustained success.Mentioned on the ShowLearn more about Aaron Levy on the Raise the Bar website: https://www.raisebar.co/team/aaron-levy-founderRead Aaron's book Open, Honest, and Direct: https://a.co/d/081LR77OConnect with Aaron on LinkedIn: https://www.linkedin.com/in/aelevyO'Brien discussed the book Talent is Overrated by Geoff Colvin: https://a.co/d/0iN1Z70xTimestamps(00:00:00) – Aaron Levy returns to People Business with O'Brien McMahon(00:02:42) – What is Raise the Bar and how do you help develop leadership skills in teams?(00:03:09) Have leadership lessons have evolved since the pandemic or if they remain the same?(00:04:28) How has the hybrid work world changed how we need to lead people and what skill sets have become important?(00:08:14) What opportunities exist now, post-pandemic, that didn't before?(00:14:19) What key fundamental skills are foundational for leadership development?(00:20:53) How is psychological safety created in the workplace? (00:21:44) How can someone receive feedback constructively, “like a scientist”? (00:23:51) What factors allow people to receive difficult feedback in a positive way?(00:32:09) How can difficult, tough conversations be made in a way that helps?(00:42:35) Millennials, Gen Z, are generational differences real or just examples of human nature across life stages?(00:48:11) Is there anything about how Aaron leads Raise the Bar that surprises clients?

“We all signed up for the criticism, and will to take a bullet for our team, that's our job.” Bryce Young Fresh off a breakout playoff run with the Carolina Panthers, former No. 1 overall pick Bryce Young sits down with Ryan, Channing and Fred for a deeply personal and one of his most reflective conversations yet. Bryce opens up about the pressure of being selected first overall in the NFL Draft, the early adversity he faced adjusting to the speed and complexity of the NFL as a business, and how criticism fueled his growth rather than defined him. From learning how to command a locker room to embracing failure as part of development, Bryce shares the pivotal moments that shaped his evolution from highly touted prospect to playoff quarterback. From a long drive Bryce never envisioned making to the lessons the rough roads taught him, the guys talk about the complexity of Dave Canales' play calling, Bryce's unique bond with Xavier Legette, support from Cam Newton and how the Panther faithful can be hard to navigate but worth the privilege of being the team leader. He also discusses the mental side of the game — staying grounded amid expectations, blocking out outside noise, and building resilience during tough stretches. The conversation dives into leadership, faith, preparation habits, and what it truly means to “earn it” at the highest level. Sharing a close bond with CJ Stroud, Bryce talks about CJ's strength and talent will put him back on track ignoring the noise of this past season. Honest, thoughtful, and poised beyond his years, Bryce reflects on what the playoff run taught him about trust, accountability, and belief — not just in football, but in himself. Pivot Family, comment, like, hit the subscribe button, we enjoy hearing and learning from you- the good and the bad, we want to know! Learn more about your ad choices. Visit megaphone.fm/adchoices

Whitney White is a theatrical powerhouse. A director, writer, actor, and musician, White's work has been seen on Broadway, Off Broadway, and at major institutions including The Public Theater, the Brooklyn Academy of Music, and, most recently, the Royal Shakespeare Company. Her projects include Jaja's African Hair Braiding, The Last Five Years, Macbeth in Stride, and By The Queen, which was featured in the Folger's 2025 Reading Room Festival. In this episode, White discusses All Is But Fantasy, her four-play musical cycle created for the RSC, where it's now receiving its world premiere. The high-energy, gig-theater show investigates Shakespeare's women and ambition, focusing on Lady Macbeth, Emilia, Juliet, and Richard III. Each piece combines performance with original music, using sound and rhythm as a way into the text and as a tool for rethinking these characters whose inner lives are often cut short or overlooked. White reflects on why Shakespeare's women so often meet tragic ends, how those stories continue to feel familiar, and what it means to keep staging them now. She considers the ways that music, performance, and adaptation can help us better understand Shakespeare today. From the Shakespeare Unlimited podcast. Published February 10, 2026. © Folger Shakespeare Library. All rights reserved. This episode was produced by Matt Frassica, with Garland Scott serving as executive producer. It was edited by Gail Kern Paster. Technical support was provided by Melvin Rickarby in Stratford, England, and Voice Trax West in Studio City, California. Web production was handled by Paola García Acuña. Transcripts are edited by Leonor Fernandez. Final mixing services were provided by Clean Cuts at Three Seas, Inc. Whitney White is an Obie and Lily Award-winning and Tony Award-nominated director, actor, and musician, celebrated for her bold, innovative storytelling across both Broadway and off-Broadway. She recently received the Drama League's 2025 Founders Award for Excellence in Directing and an Obie Award for Sustained Achievement in Directing. All Is But Fantasy, White's four-part musical exploration of Shakespeare's women and ambition, commissioned by the Royal Shakespeare Company, marks her RSC debut as a writer, director, and actor. The two-part high-energy gig theater show is receiving its world premiere at The Other Place in Stratford-upon-Avon in January and February 2026. White's other directing credits on Broadway include The Last Five Years and Jaja's African Hair Braiding, off-Broadway credits include Liberation, Walden, Jordan's, Soft, On Sugarland, What to Send Up When It Goes Down, Our Dear Drug Lord, and For All the Women Who Thought They Were Mad. She recently opened Saturday Church, a new musical featuring songs by Sia and Honey Dijon at New York Theatre Workshop. She also created Macbeth In Stride at Brooklyn Academy of Music, writing the book, music and lyrics. Additional directing work includes The Secret Life of Bees, By The Queen, The Spectacularly Lamentable Trial of Miz Martha Washington, A Human Being of a Sort, An Iliad, The Amen Corner, Othello, Canyon, and Jump. On screen, White has appeared in Ocean's Eight, Single Drunk Female, Louie, and The Playboy Club, and she contributed as a writer to Boots Riley's acclaimed series I'm A Virgo for Prime Video.