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When NDIS support workers understand the rights of the people they care for, the care changes. Zoe and Karen are joined by Liz Sakal — Ausmed's Disability Team Lead, who led the team behind the Know My Rights project: a national micro-learning platform built in partnership with Inclusion Australia and funded by the NDIS Quality and Safeguards Commission Grant Program. They cover how 15 micro-learning modules were built around five cohorts in the NDIS community, the co-design process that shaped every module and the Generative Learning Experiences that lets participants rehearse advocacy conversations freely. Know It. Show It. Act On It. Contact the show at podcast@ausmed.com.au Follow us on Linkedin → Zoe, Michelle, Karen Follow Ausmed on LinkedIn, Facebook & Instagram Resources: Know My Rights | NDIS Micro-learning Platform Register for Upcoming Webinars | NDIS Provider Capability Series About KMR by Will Egan | Ausmed Stories Learn More About Ausmed: https://lnk.bio/ausmed/organisationsSee omnystudio.com/listener for privacy information.

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

Gina Tesoriero just finished her PhD — and her research is a reminder that the best way to understand how students use AI is to just... ask them.A special education teacher turned researcher, Gina spent years watching STEM transform engagement for her most overlooked students. That spark sent her into a doctoral program studying how recent high school graduates are using tools like ChatGPT to navigate school, work, and life — including some of her own former seventh-graders, now adults.The findings? One student built herself a custom writing tutor at midnight. Another group used it to spot bias in job listings. And one case study that made Gina uncomfortable ended up teaching her the most important lesson of all: how someone uses AI tells you exactly what's missing in their learning environment.We get into neurodiversity, UDL, co-design, why AI literacy belongs in every classroom (not just the tech teacher's), and what happens when you stop policing the tool and start getting curious about the person using it.

I just got back from the Customer Alpha event that was part of the broader FTT Embedded Finance, Payments, and Future Identity event, put on by VC Innovations. It was the first time I've spoken publicly about my concept of THE UN-WOW, focusing our efforts more on everyday mundane experiences rather than transformative metamorphic experiences. There is more to it than that, so stay tuned for updates as I work on a book on THE UN-WOW.  While in London, I was able to go to the Tate Modern Art Museum. This was quite the shift after visiting museums in Florence with all of the Renaissance representational art. One of the interesting differences between the two is that the art in Florence often was made for patrons who were commissioning artwork, which ultimately was made to please those patrons. The art in the Tate often was made by artists who were trying to please themselves using art as a statement. As a result, the artists' statements became a key piece of looking at and understanding what the art was meant to represent and the response it was hoping to create.  Regardless of whether sponsored representational or abstract and surreal, through art one can give external voice to one's internal dialogue to create a social experience.  On today's episode of Experience by Design podcast, I welcome Ali Fawkes, the Head of Social Innovation at the social design firm Humanly. “Humanly is an award-winning design studio specializing in human-centered design for social impact.” On their website, they continue to describe themselves as, “specialising in inclusive, creative and participatory research and design with seldom-heard and underrepresented groups.” I came to learn about Ali and Humanly through a paper she co-authored on “Co-designing the Future of Respiratory Healthcare” in the journal CoDesign - the International Journal of CoCreation in Design and the Arts, detailing their work and approach. Ali is a self-described “art kid,” who found an outlet for her own voice. She went on to get a degree in Fine Art from the University of Kent, as well as additional certifications and degrees in Secondary Art and Special and Inclusive Education from the University of Cambridge. Ali describes co-design efforts she did with students during her work as a secondary school art teacher and educator in schools whose students had special needs.  She describes her journey from that rewarding work to working with Humanly. We discuss how being an outsider with little knowledge about a setting or industry can be a real gift to having open eyes and ears to learn from people who are often not listened to. Ali discusses the ethical considerations and methodologies involved in working with underrepresented groups, emphasizing the importance of truthful representation and co-design approaches. We also discuss the importance of her artistic background as a source of challenging norms and disruption, leading to innovative approaches.  And if doing social design and impact isn't enough heavy lifting, Ali also participates in strongperson competitions, lifting very heavy things and sometimes having to carry them across distances. Which is not unlike trying to lift complex problems and carry solutions forward. I always love good art talk on Experience by Design, and especially when it is connected to social impact.  Ali Fawkes on LinkedIn: https://www.linkedin.com/in/alifawkes/ Humanly: https://www.designhumanly.com/ “Co-designing the Future of Respiratory Healthcare”: https://www.tandfonline.com/doi/full/10.1080/15710882.2025.2603298

Omari Richins, MPH of Public Health Careers podcast talks with Lydia Babcock, MA, MPH, PMP.Lydia uses participatory action research, ethnography, and mixed methods to help organizations identify root causes, close gaps, and design solutions that actually work for communities. Her work sits at the intersection of public health, medical anthropology, policy research, and community engagement, with experience spanning both domestic and global health settings - including serving as a Peace Corps Community Health Specialist in Malawi.Resume Workshop (May 24th): https://thephmillennial.com/workshops/

In this reflection episode, Jocelynn takes off the "Interviewer" hat and steps into the "Coach's" seat. After modeling student consultations in Episode 11, she dives deep into the four core "Treasures" that were unearthed during those conversations. This isn't just about what was said—it's about how we as educators Reflect, Learn, and Implement the truth to build radical trust in our classrooms.The 4 Treasures Revealed:Connection Over Everything: Why the "Getting to Know You" worksheets we rely on often miss the mark, and what students actually crave instead.Scaffold, Scaffold, Scaffold: A look at how shifting our language from the abstract to the concrete (e.g., from "Mapping" to "Planning") unlocks the brilliance of every learner.Pause & Excavate: The power of the "Gold Statement." Why we must be willing to stop the script and "excavate" when a student shares a deep truth.Theory into Practice: Moving from the "How" to the "Do." How the Friday Lab and Co-Design routines turn student voice into the engine of classroom culture.What You'll Hear in This Episode:The Trust Loop: Understanding that it's not enough to know your students; they must know that they are known.Structured Independence: A tactical breakdown of the "Friday Lab" (Reader's/Writer's Workshop and Social Studies Lab) and how it creates the space for 1-on-1 advocacy.The Co-Design Lab: Defining the collaborative workspace where students become the architects of their own learning.Radical Grace: Reflections on the "simmer down" period and the necessity of processing our own emotions before advocating for change.Featured Resources:The First 10 Days: Building a Welcoming & Respectful Classroom of BelongingThe Student Connection Profile ToolCoaching Corner Highlights:Anchor Question: What are my students learning about themselves when I give them the space to plan?Implementation Intention: “This week, I will facilitate a Co-Design Lab during the last 20 minutes of class on Friday to brainstorm our next unit.”

Jussi Hermunen was brought in as a consultant on a multimillion-euro project when he discovered that his go-to tool was on the client's prohibited software list. He used it anyway. Not out of recklessness, but because a diagram reads the same on a factory floor as it does in a boardroom.A clarity that a 70-page document full of acronyms that nobody in those steering group meetings would admit they hadn't read could never provide.He has spent decades inside large organisations finding the people whose working lives are shaped by decisions they had no part in making, and asking the questions everyone inside stopped asking on day three. We talked about what happens when organisations become the very obstacle standing between themselves and the change they're trying to make and what changes when you stop delivering that change to people and start designing it with them.Links to learn more about Jussi Hermunem:LinkedInPersonal WebsiteCompany WebsiteAny thoughts? Share them with us!Support the show✨✨✨If you miss the "workshops work" podcast, join us on Substack, where Myriam builds a Podcast Club with monthly gatherings around old episodes: https://myriamhadnes.substack.com/

Sour's Pinar Guvenc discusses how local community is helping shape better buildings. Then: GA’s Jessica Morrison on what luxury hospitality means in 2026? Plus: Nic and Grace dissect designers from a month of fashion weeks. See omnystudio.com/listener for privacy information.

We're at the Oceania Academy of Cerebral Palsy and Developmental Medicine (Oceania Academy) Conference, 2026 - coming to you live from Hobart, Tasmania, Australia!We catch up with Kirstin Pascoe - Digital Project Manager, CP Movetime | School of Allied Health, Curtin University, Perth Australia.NB. This episode was pre-recorded at the ResearchWorks studio prior to the Oceania Academy of Cerebral Palsy and Developmental Medicine Conference.

On Episode 622 of Impact Boom, Jacob Adams of Inner Spark Learning Lab discusses building student-led change initiatives, centring youth voices through authentic co-design processes, and crafting financially viable impact models to transform schools from rigid institutions into adaptive, community-centred learning spaces. If you are a changemaker wanting to learn actionable steps to grow your organisations or level up your impact, don't miss out on this episode! If you enjoyed this episode, then check out Episode 607 with Mohit Rauniyar on reimagining education to enhance student engagement through storytelling -> https://bit.ly/4rcJVGX The team who made this episode happen were: Host: Indio Myles Guest(s): Jacob Adams Producer: Indio Myles We invite you to join our community on Facebook, LinkedIn or Instagram to stay up to date on the latest social innovation news and resources to help you turn ideas into impact. You'll also find us on all the major podcast streaming platforms, where you can also leave a review and provide feedback.

March 3rd, Computer History Museum CODING AGENTS CONFERENCE, come join us while there are still tickets left.https://luma.com/codingagentsChris Fregly is currently focused on building and scaling high-performance AI systems, writing and teaching about AI infrastructure, helping organizations adopt generative AI and performance engineering principles on AWS, and fostering large developer communities around these topics.Performance Optimization and Software/Hardware Co-design across PyTorch, CUDA, and NVIDIA GPUs // MLOps Podcast #363 with Chris Fregly, Founder, AI Performance Engineer, and InvestorJoin the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguide// AbstractIn today's era of massive generative models, it's important to understand the full scope of AI systems' performance engineering. This talk discusses the new O'Reilly book, AI Systems Performance Engineering, and the accompanying GitHub repo (https://github.com/cfregly/ai-performance-engineering). This talk provides engineers, researchers, and developers with a set of actionable optimization strategies. You'll learn techniques to co-design and co-optimize hardware, software, and algorithms to build resilient, scalable, and cost-effective AI systems for both training and inference. // BioChris Fregly is an AI performance engineer and startup founder with experience at AWS, Databricks, and Netflix. He's the author of three (3) O'Reilly books, including Data Science on AWS (2021), Generative AI on AWS (2023), and AI Systems Performance Engineering (2025). He also runs the global AI Performance Engineering meetup and speaks at many AI-related conferences, including Nvidia GTC, ODSC, Big Data London, and more.// Related LinksAI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch 1st Edition by Chris Fregly: https://www.amazon.com/Systems-Performance-Engineering-Optimizing-Algorithms/dp/B0F47689K8/Coding Agents Conference: https://luma.com/codingagents~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Chris on LinkedIn: /cfreglyTimestamps:[00:00] SageMaker HyperPod Resilience[00:27] Book Creation and Software Engineering[04:57] Software Engineers and Maintenance[11:49] AI Systems Performance Engineering[22:03] Cognitive Biases and Optimization / "Mechanical Sympathy"[29:36] GPU Rack-Scale Architecture[33:58] Data Center Reliability Issues[43:52] AI Compute Platforms[49:05] Hardware vs Ecosystem Choice[1:00:05] Claude vs Codex vs Gemini[1:14:53] Kernel Budget Allocation[1:18:49] Steerable Reasoning Challenges[1:24:18] Data Chain Value Awareness

Virve Hyysalo is a Senior Service Designer who works at Pentagon Design. In this interview, we talk about all the co‑design work that went into creating the Oodi Library in Helsinki. She walks us through the methods they used, and how these approaches made it possible to include different marginalized groups in the design process.We move from the big picture to the tiny details—really diving into how this project was shaped with care, attention, and love.This interview is part of the lists: Diseño de servicios, Finnish design in public sector, D&D in English, Finlandia y diseño, Bibliotecas y diseño. Even though some of the lists titles are in Spanish, content can be found also in English. All the list of episodes in English, which has now more than 40 episodes can be found in the D&D in English. She recommends us to read: Design Participation by Sampsa Hyysalo 

Overview: We discuss what culturally responsive care really means for underserved communities and how technology, especially AI, can create more equitable solutions in healthcare. We reflect on the challenge of finding tools that expand care teams and deepen patient trust without losing the essential personal touch of community health centers. We talk candidly about the intersection of technology, ROI, and ethics—asking what true success looks like when serving vulnerable populations. Co-design and collaboration with communities are at the heart of our conversation, as we discuss ways tech can scale privilege and raise the quality of care, like improving language access through AI-driven translation services. We also confront the limits of technology and the need for policy change, sharing practical examples from our work and finding hope in partnerships that lead to meaningful innovation Three Takeaways: The Power of Co-Design in Tech SolutionsWe repeatedly highlight that truly useful technology in healthcare—especially for marginalized communities—must be co-designed with input from those very communities. Instead of developing products in isolation and then trying to “retrofit” trust or usability, starting collaborative design from the beginning is critical to both trust and effectiveness. ROI Isn't Just Financial—It's Community HealthInstead of boiling everything down to monetary return, Luis Padilla reframes ROI as the improvement in health, trust, and culturally appropriate care for disenfranchised patients. For community health centers, “margin” is reinvested in service, not profit—a strong counter-narrative to typical business language in healthcare tech. Language Access Technology Has Equity Potential The episode brings forward concrete examples—like live multilingual translation at Asian Health Services—showing how technology (AI-powered live voice translation, multiple language EMR interpretation) can “raise the floor” for accessibility. These innovations move beyond privilege and begin to level the playing field for communities historically left behind. Next Step: Visit our website, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Healthcare for Humans⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and join our community to enjoy exclusive benefits at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.healthcareforhumans.org/support/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Support Our Mission: Non-clinicians, explore exclusive content and contribute to our collective journey. Be an Active Participant: Go beyond listening. Shape our narrative by co-creating episodes with us. Be part of our community by visiting⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://www.healthcareforhumans.org/support/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow us on Instagram ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@healthcareforhumanspodcast⁠⁠⁠⁠⁠⁠⁠

AI is here, but so are human emotions. Tammy J. Bond highlights that implementing AI is not just a technical deployment; it's a massive disruption to your team's identity, sense of security, and self-worth. The core challenge for 2026 is leading the emotional side of automation, as your team is both hopeful and terrified. This episode exposes how leaders are currently dropping the ball with silence and lack of guidance, offering a playbook to intentionally build trust and human sustainability around AI usage. The Human Cost of AI Silence Leaders are often failing to implement AI well because they ignore its impact on three fundamental human needs: Certainty: Workers fear for their job security (up to 52% are worried about AI's impact). Competency: The automated work challenges their sense of self-worth and ability to perform their role effectively. Control: People feel a loss of autonomy when a new, vaguely understood tool takes over parts of their process. Ignoring these fears creates camouflaged conflict in the workplace, manifesting as passive resistance, quiet quitting, and overcompensating perfectionism (driven by fear of obsolescence). The Problem of Silence: With 40% of workplaces lacking AI usage guidelines, employees read a leader's silence as, "My leader doesn't know what they're doing," eroding trust and increasing anxiety. The Leader's Playbook: Transforming Culture Your opportunity is to stop letting fear write the rest of your organizational story and actively transform your culture around AI. 3 Essential Steps for AI Implementation: Name the Change: Clarify what AI is and what it is not here to do, not just for the company, but for each position at the granular level. Clarify Expectations: Define what is acceptable and unacceptable to use AI for. Set clear performance measures and expectations for the outcome if misuse occurs. Invest in Skill Building: Provide training not just on the tool, but on the skill of prompt verification and critical assessment of AI output. You must articulate to your team: AI is here to augment you, to enhance you, not to erase you. Reinforce the need for human judgment for the final output. The human is still responsible for the answer, even if the tool provided the initial data. Bold Questions & Actions for This Week Tammy's challenge is to push pause and get the team involved in co-creating the AI strategy: Ask the Fear Question: Sit down with your team and ask: "What about AI really scares you the most right now?" Identify 'Dumb Work': Ask: "Where do you see that AI could remove some of the repetitive work we do so that you can do more of what you're brilliant at?" Co-Design an Experiment: Pick one process this month and work with your team to co-design a small AI experiment to increase familiarity and comfort. The Bottom Line: If your people cannot say out loud what they are afraid of, AI will quietly run your culture from the shadows. Lead the human side of automation.

Décoration, design, création, savoir-faire, ces mots vous parlent ? Alors vous êtes au bon endroit ! Bienvenue dans LE CLUB, l'émission comme à la radio avec différentes chroniques... déco, design et même transition écologique !Dans cet épisode, Marie Farman, journaliste spécialisée en design qui collabore avec de nombreux magazines, nous parle de son best of pour 2026 : les expos à venir, le designer à connaitre, la tendance incontournable, bref tout ce qu'il ne faudra pas rater en cette nouvelle annéeViolaine Belle-Croix, rédactrice en chef de Marie Claire Enfants et citoyenne engagée grâce à WITE MEDIA, partage ses tips naturels pour ne pas tomber malade cet hiver !Enfin, Billie Blanket, journaliste déco, autrice et désormais décoratrice d'intérieur qui s'est cassé la jambe et nous accueille chez elle, consacre sa chronique aux cadeaux de Noël Un mix&match comme on les aime pour une discussion dans la joie et la bonne humeur !Et merci à Tikamoon, fidèle partenaire de cette émission. Si ce podcast vous plait n'hésitez pas 

Nancy Herrmann is the Founder and Creative Director of Jane & Co Design, a boutique studio crafting strategic, sensory brands for female founders in beauty, fashion, and hospitality. Her career spans fashion, architecture, editorial, and brand strategy—bringing a multidisciplinary lens to every project. In recent years, she's led creative work for beauty brands from L'Oréal and Bobbi Brown to bareMinerals and Alterna Haircare. Today, Nancy helps women entrepreneurs build brands that reflect their next chapter—with intention and impact.In this episode, Mackenzie Perna interviews Nancy about her journey from working at Michael Kors and global beauty brands to founding her own design studio. Nancy shares how she built creative autonomy and what drives her work with female founders today.

Trending in Ed is back for its 10th season! Mike Palmer is kicking things off by reflecting on the past nine seasons and sharing what's in store for the Fall. We're excited to announce that the podcast will be offering dedicated feeds for listeners who want to go deep on specific topics like AI, K-12, higher education / the future of work, and author interviews about books. In this kickoff episode, Mike shares his eight trends for Fall 2025: Independent Media & Free Speech: Highlighting the importance of independent media and calling out the "chilling effects" on free speech in mainstream and broadcast media. Discernment: The ability to find "the signal in the noise" and filter out misinformation in a world of information overload. AI Dexterity: A focus on what people can do with AI rather than what AI can do for them, a phrase coined by Mike Yates. Golden Age of Educational Media: The rise of generative AI tools is revolutionizing the development of educational content and instructional design. Co-Design & Co-Creation: The importance of listening to and co-creating with students, families, and parents to foster a sense of connection and ownership. Human Agency: The idea that purpose and goals are a "super skill" that allows individuals to engage with new capabilities more productively. Cognitive Neuroscience: Applying the science of how our brains are structured and how we learn to develop more effective learning systems. Tutors & Mentors: The crucial role of human coaches, tutors, and mentors in a world increasingly influenced by AI. We also bring back OG virtual co-host, Nancy, to discuss the Gartner Hype Cycle for 2025. We discuss how generative AI is now moving into the "Trough of Disillusionment" and that things like Model Ops and AI Engineering are quietly gaining momentum on the "Slope of Enlightenment". We also touch upon what's next, including AI agents and AI-native software engineering, and how AI is becoming a utility rather than a differentiator. Listeners can look forward to upcoming interviews with an incredible lineup of guests, including: Rich Braden and Tessa Forshaw, authors of Innovation-ish. Howard Blumenthal and Bob Pianta, authors of Kids on Earth. Michael Ioffe the Co-Founder and CEO of Arist. AJ Gutierrez from Equal Opportunity Schools. Michelle Vilchez and Sean Michael Hardy from Innovate Public Schools. Jeff Young hosts Learning Curve. Liz City and Rachel Curtis, authors of Leading Strategically. We are delighted to have you with us for Season 10! Follow us wherever you get your podcasts. Video versions are now available on YouTube and Spotify. Visit TrendinginEd.com for more. Timestamps: 00:00 Welcome to Season 10 of Trending in Education 01:24 New Dedicated Feeds for Focused Content 02:42 Upcoming Trends and Sneak Peeks 07:05 Trend 1: Free Speech and Independent Media 10:44 Trend 2: Discernment in the Attention Economy 12:28 Trend 3: AI Dexterity 13:50 Trend 4: Golden Age of Educational Media 16:09 Trend 5: Co-Design and Co-Creation 19:22 Trend 6: Human Agency  26:07 Trend 7: Cognitive Neuroscience 27:26 Trend 8: Tutors/Coaches and Mentors 29:21 Recap of the Eight Trends in Education 31:43 Gartner Hype Cycle for 2025 34:21 Generative AI and the Trough of Disillusionment 37:22 Future Technologies and AI Agents 41:37 Conclusion and Future Episodes

This week, we share Chris's interview with Claire O'Connor! Claire O'Connor is a speech-language pathologist and first-year PhD student at the University of Maryland. Her research focuses on the intersection of artificial intelligence (AI) and AAC, exploring how tools like ChatGPT can support AAC users better.   Before the interview, Melissa, surprises him with news that his Assistive Technology team, comprising nine members, won the "Most Inclusive Team" award from their county's Special Education Advisory Committee Council! Chris himself also won the "Most Inclusive Administrator" award!   Key Ideas This Week:   Exploring AI as a Support for AAC Users: Claire is researching how large language models (like ChatGPT) can support—not replace—AAC communication by reducing delays, easing the cognitive load of message construction, and expanding short inputs into fuller messages .   Co-Design with AAC Users: The project uses a participatory design approach, meaning AAC users are directly involved in shaping tools and prototypes. This ensures that their voices guide development rather than having solutions imposed on them .   Focus on Empowerment and Trust: The research emphasizes building trust in AI and empowering AAC users. Instead of only testing tools, Claire plans to create a support group to hear AAC users' experiences and perspectives, fostering comfort and inclusion before running compensated co-design workshops.   Help us develop new content and keep the podcast going strong! Support our podcast at patreon.com/talkingwithtech!   Visit talkingwithtech.org for episode transcripts, searchable episode database, links to resources, and more!

There is a lot of talk about co-design and community engagement in research and public policy - but in practice a lot of that talk ends up looking like window dressing rather than real community partnership.We talk to one of the world's leading co-design, community engaged researchers in nursing - Professor Brendan McCormak Head of the Nursing School at the University of Sydney - to find out strategies for how he involves patients and nurses in the creation of research. The result is not only an amazing story about a career of co-created knowledge, but a series of powerful insights and strategies for anyone interested in the art of working WITH others in building solutions and knowledge.You can find out more about Brendan here.For more on ChangeMakers check us out:Via our Website - https://changemakerspodcast.org (where you can also sign up to our email list!)On Facebook, Instagram, Threads - https://www.facebook.com/ChangeMakersPodcast/Blue Sky Social - changemakerspod.bsky.aocial & amandatattersall.bsky.socialOn X/Twitter - @changemakers99 or @amandatattsOn LinkedIn - Amanda.Tattersall Hosted on Acast. See acast.com/privacy for more information.

Ever wondered how sibling dynamics shape the creation of a board game? In episode 244 of the Crowdfunding Nerds podcast, we dive deep with Brian and Michael Toth of Toth Games about their journey in crafting Legends of the Arena. Join Andrew and Sean as they explore the Toth brothers' collaborative process, starting from a shared childhood love for games to the challenges of translating video game dynamics into a board game format. Discover how a shared vision, external feedback, and a "north star" guide them through conflict resolution and decision-making. We'll also delve into the practical side of game development, from art direction to task delegation, and how the brothers' partnership fuels their motivation during tough times. This episode is a treasure trove of insights on creativity, perseverance, and the power of collaboration. Tune in for an inspiring tale of bringing a creative vision to life!   Links to check out! Toth Games - https://tothgames.com/ Legends of the Arena: Knockout Brawling Board Game - https://www.kickstarter.com/projects/tothgames/legends-of-the-arena Thank you to our sponsors! HeroTime1.com - Get a 3% discount off your Hero Time Manufacturing order using code: CrowdfundingNerds101 BridgeDist.com - We recommend Bridge Distribution & Fulfillment for US fulfillment and Amazon fulfillment. We use them for our own projects, too! CrowdfundingNerds.com/Academy - If you are looking to DIY your crowdfunding, we have highly impactful courses that teach you how to build, excite, and prepare a crowd to fund you on Launch Day! Check out our website at crowdfundingnerds.com and join our bustling community on Facebook. Stay Nerdy!

Celebrating our 150th Episode with an Exclusive from PHSCON 2025!To mark this monumental milestone, we are giving you a front-row seat to a powerhouse conversation straight from the main stage at the Psychological Health and Safety Conference 2025.In this special feature presentation, host Dr. I. David Daniels is joined by global psychosocial safety leader Kana'e Dyas to explore the critical "what, why, and how" of inclusive work design. They go beyond the buzzwords to provide a practical blueprint for leaders in OHS, HR, and management who are dedicated to creating genuinely supportive and psychologically healthy workplaces.In This Landmark Episode, You Will Discover:Actionable Strategies: Learn how to move from theory to practice in designing work environments that accommodate a diverse range of employee needs and perspectives.Psychosocial Hazard Mitigation: Uncover methods for identifying and addressing psychosocial risks rooted in a lack of inclusion, in alignment with ISO 45003 principles.The Power of Co-Design: Understand why involving employees in the design process is critical for fostering authentic equity and belonging.Overcoming Barriers: Address common obstacles that prevent organizations from building a true culture of respect, collaboration, and workplace mental health.Global Perspectives: Hear insights from two world-class experts on the cutting edge of psychological health and safety.This isn't just a discussion; it's an essential guide for anyone committed to the future of workplace mental health and safety.Featured in this Episode:Dr. I. David Daniels, PhD, CSD, VPS: Host of the Psych Health and Safety USA Podcast, Founder/CEO of ID2 Solutions, and author of “Psychosocial Hazards Are Real.”linkedin.com/in/i-david-daniels-phd-cert-safety-director-0bb50b29/Kana'e Dyas: Workplace Support Manager - Psychosocial Safety, Wellbeing and Respect at Work for Anglo American, and a multiple award-winning leader in trauma-informed psychosocial management.linkedin.com/in/kanaedyas/Prefer to watch?To see the full presentation live from the stage, you can watch the video version of this landmark episode on the FlourishDX YouTube channel.Watch Here: https://www.youtube.com/c/FlourishDX

Dr. Ernesto Morales discusses evidence-based research for accessible airports and airplanes, emphasizing co-design, sensory needs, and the need for accountability in aviation accessibility.In episode 61 of the Happy Space Podcast, I spoke with Dr. Ernesto Morales, Full Professor at Université Laval, about two federally funded projects on accessible aviation in Canada. One focuses on airport accessibility, while the other addresses aircraft lavatories. Ernesto shares how involving 72 participants with diverse disabilities through walking interviews and mockups helped surface nuanced barriers and identify improvements. We also discuss the challenges of coordination between stakeholders, the need for sensory-friendly spaces, and the importance of dignity in travel. Ernesto stresses the value of co-design and inclusive research methods, calling for regulatory clarity and deeper accountability in delivering equitable air travel experiences.Ernesto Morales studied architecture and finished a Masters' Degree in Industrial Design in Mexico City. He obtained a grant from the Government of Mexico to study his Ph.D. in Design at the Faculté de l'aménagement, of the University of Montreal. He did his first post doc in “Environmental Gerontology” at the Research Centre from the Institut universitaire de gériatrie de Montréal and a second post-doc at the Research Centre for Innovation in Health Care at Utrecht, the Netherlands on “Healing Environments”. He is Full Professor at the School of Rehabilitation Sciences of the Faculty of Medicine at the Universté Laval and he is a Researcher at the Centre interdisciplinaire de recherche en réadaptation et intégration sociale in Quebec City. He is also a member of the Quebec government's Advisory Committee on Accessibility and Safety of Buildings for Persons with Disabilities. His research interests fall into the following areas: Inclusive design and adaptation of the physical environment. Design solutions to improve the quality of life of people with permanent or temporary disabilities (either cognitive, motor or sensory) in terms of objects, home spaces or urban design. Working and care environments in health institutions (acute and long-term care) and accessibility in emergency situations.CHAPTERS[00:00] Meeting Ernesto Morales and Project Overview[02:00] Walking Interviews at Airports[04:00] Designing Solutions Collaboratively[06:00] Challenges in Airport Coordination[08:00] Public and Private Reporting[09:00] Ernesto's Personal Motivation[11:00] Co-Design as a Core Practice[13:00] From Heritage Sites to Airports[14:00] Merging Qualitative and Quantitative Data[16:00] Why Canada is Leading in Accessibility[18:00] Federal and Ministry Involvement[20:00] Autism, Sensory Input, and Airport Design[23:00] Stress at Security Checkpoints[26:00] Benefits of Hidden Disability Lanyards[28:00] Advertising and Sensory Overload[30:00] Sensory Zones, Not Just Rooms[33:00] Washroom Accessibility and Service Dogs[36:00] Dignity in Air Travel[38:00] Future Reports and Timelines[39:00] Centralizing Responsibility for Accessibility[41:00] Systemic Change Through Procurement and TrainingLINKSRick Hansen Accessibility CertificationAccessibility Standards CanadaAirports Quebec CityCalgary Airport Ernesto's WebsiteIMAGE CREDITS (see images on Youtube video)LOGO - Hidden Disabilities SunflowerPlane Mockup Photos -...

With a personal aim to ‘humanize' spaces, big or small, and over 26 years of experience, Tonya Hinde is not a registered architect and stands out as a collaborative leader and interior designer in the Australian architectural industry. She shares BLP's deeply held belief that our future is dependent on creating healthy buildings and environments, and that good design is instrumental in making people feel better. Tonya is a strong advocate for Mental Health Design – particularly for BLP's Co-Design methodology, continuing to learn from those with Lived Experience – and has been a significant contributor to the award-winning Orygen Youth Mental Health facility, Parkville Tonya talks with hosts Daniel Moore and Nicole Eadie today about her work on Orygen Parkville. This project is a stunning reminder that health design doesn't need to be clinical to be functional. It is a highly awarded project which challenges the status quo. Our sponsor Brickworks also produces architecture podcasts hosted by Tim Ross. You can find ‘The Art of Living', ‘Architects Abroad, and ‘The Power of Two', at brickworks.com.au or your favourite podcast platform. If you'd like to show your support please rate, review, and subscribe to Hearing Architecture in your favourite podcast app. If you want to know more about what the Australian Institute of Architects is doing to support architects and the community please visit architecture.com.au This is a production by the Australian Institute of Architects Emerging Architects and Graduates Network, in collaboration with Open Creative Studio. The Institute production team was Katie Katos, Claudia McCarthy, and Mark Broadhead, and the EmAGN production team was Nicole Eadie and Daniel Moore. This content is brought to you by the Australian Institute of Architects Emerging Architects and Graduates Network, in collaboration with Open Creative Studio. This content does not take into account specific circumstances and should not be relied on in that way. This content does not constitute legal, financial, insurance, or other types of advice. You should seek independent verification or advice before relying on this content in circumstances where loss or damage may result. The Institute endeavours to publish content that is accurate at the time it is published, but does not accept responsibility for content that may or will become inaccurate over time. We respectfully acknowledge the Traditional Owners of country throughout Australia where this podcast was produced, as the first storytellers, the first communities and the first creators of Australian culture. I extend that respect to the Traditional Custodians of country throughout the multiple places abroad where this podcast was recorded.  We thank Traditional Custodians for caring for Country for thousands of generations.  and recognise their profound connection to land, water, and skies.

In this episode, your host Sebastian Hassinger sits down with Andrew Houck to explore the latest advancements and collaborative strategies in quantum computing. Houck shares insights from his leadership roles at both Princeton and the Center for Co-Design of Quantum Advantage (C2QA), focusing on how interdisciplinary efforts are pushing the boundaries of coherence times, materials science, and scalable quantum architectures. The conversation covers the importance of co-design across the quantum stack, the challenges and surprises in improving qubit performance, and the vision for the next era of quantum research.KEY TOPICS DISCUSSEDMission of C2QA:The central goal is to build the components necessary to move beyond the NISQ (Noisy Intermediate-Scale Quantum) era into fault-tolerant quantum computing. This requires integrating expertise in materials, devices, software, error correction, and architecture to ensure compatibility and progress at every level.Materials Breakthroughs:Houck discusses the surprising impact of using tantalum in superconducting qubits, which has significantly reduced surface losses compared to other metals. He explains the ongoing quest to identify and mitigate sources of decoherence, such as two-level systems (TLSs) and interface defects.Co-Design Philosophy:The episode delves into two types of co-design:Vertical co-design: Aligning advances in materials, devices, error correction, and architecture to optimize the full quantum computing stack.Cross-platform co-design: Bridging ideas and techniques across different qubit modalities and even across disciplines, such as applying methods from quantum sensing to quantum computing.Error Correction Innovations:Houck highlights breakthroughs like using GKP states for error correction, which have achieved performance beyond the break-even point, thanks to improvements in materials and device design.Bosonic Modes and Custom Architectures:The conversation touches on leveraging native bosonic modes in hardware to simulate field theories more efficiently, potentially saving vast computational resources. Houck discusses the trade-offs between general-purpose and custom quantum circuits in the current era of limited qubit counts.Modular Quantum Computing:As quantum systems scale, the focus is shifting to modular architectures. Houck outlines the challenges of connecting modules—such as chip-to-chip coupling and optimizing connectivity for error correction and algorithms.Institutional Collaboration:Houck contrasts the long-term, foundational investment at Princeton with the national, multi-institutional mission of C2QA. He emphasizes the unique strengths universities, industry, and national labs each bring to quantum research, and the importance of fostering collaboration across these sectors.Looking Ahead:The next phase for C2QA will incorporate advances in neutral atom quantum computing and diamond-based quantum sensing, while ramping down some networking efforts. Houck also reflects on the broader scientific and practical motivations driving quantum information science, and the fundamental questions that large-scale quantum systems may help answer.NOTABLE QUOTES“There's a quasi-infinite number of ways that you can mess up coherence… If you're really only using one number, you'll never know.”“Some of the best ideas we have are taking approaches from one field and bringing them to another. That's what we call cross-platform co-design.”“A million-qubit quantum computer is basically a cat… as you build these systems up, you can start to really ask: do we actually understand quantum mechanics as it turns into these macroscopically large objects?”RESOURCES & MENTIONSCenter for Co-Design of Quantum Advantage (C2QA)Princeton Quantum InitiativeFor more episodes and updates, subscribe to The New Quantum Era.

Savannah Kunovsky and Jenna Fizel, co-managing directors of IDEO's Emerging Technology division, talk about the future of technology in general and how we can work with our users to build the most impactful product. They explore prototyping and co-design techniques, as well as how generative AI can help with rapid prototyping. Read a transcript of this interview: https://bit.ly/3HzOgTr Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: InfoQ Dev Summit Munich (October 15-16, 2025) Essential insights on critical software development priorities. https://devsummit.infoq.com/conference/munich2025 QCon San Francisco 2025 (November 17-21, 2025) Get practical inspiration and best practices on emerging software trends directly from senior software developers at early adopter companies. https://qconsf.com/ QCon AI New York 2025 (December 16-17, 2025) https://ai.qconferences.com/ The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - X: https://x.com/InfoQ?from=@ - LinkedIn: www.linkedin.com/company/infoq - Facebook: bit.ly/2jmlyG8 - Instagram: @infoqdotcom - Youtube: www.youtube.com/infoq - Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of experts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

This might be our most giggly conversation yet. Alicia Quan and Sarah Mondestin interview Annabel Blake (they/them), Principal AI Design Researcher at Canva.The three discuss connections throughout Annabel's career and life, touching on various topics like research, kids, play, AI, ethics, toys, authorship, and advice for designers and researchers working the spaces of education and AI. So much gold in this one!About AnnabelAnnabel works on conversational interfaces, generative experiences for education and on early R&D. Annabel's work lives at the intersection of research, design, and play and includes studying how young people experiment with AI recreationally and how they use it for fun, comfort, and creativity. Annabel also writes “strange little books for children, like a book you wear on your head or a story about a robot goat… that comes with a chatbot goat (called Sardine!).”Annabel's Links⁠Playful Futures⁠⁠annabelblake.com⁠⁠bookandbot.com⁠ ⁠Center for Humane Technology⁠ Chapters00:00 - Annabel's Squiggly Career Path03:14 - Olympic Journey and Injury04:42 - Reflections on Career Squiggles06:07 - Intersection of Research, Design, and Play08:38 - Kids and AI: Restoration and Exploration12:46 - Children's Books and Technology17:39 - Young People and AI: Surprising Uses21:39 - Designing for AI vs. Traditional UX28:17 - Co-Design and Early Access Testing32:48 - Educators and AI Tools36:22 - Innovative Teachers and Their Challenges39:24 - The Importance of Playfulness in Education46:11 - AI in Education: Balancing Innovation and EthicsFollow us

Professor Eileen Kennedy shares her experiences regarding the ethical dilemmas encountered in the co-design context, where research participants are actively involved.What unforeseen ethical challenges might surface as the research progresses?Could there be situations where obtaining participant consent is not enough? How should one proceed in such cases?In this podcast episode, Eileen and Hakan aim to explore these questions together.Full show notes: https://www.ucl.ac.uk/ioe/news/2025/jun/beyond-consent-ethical-dilemmas-co-design-research-research-ethics-s01e04

In this episode, Simon Birkett chats to Jackie Potter, Helen O'Sullivan and Laura Milne from the University of Chester about their digital transformation journey, from beginning to work through Jisc's digital maturity model, to redesigning their VLE. The guests begin by reflecting on their recent demonstrating digital transformation event held at the university, showcasing their plans for learning development and the use of technology for learners. The conversation then turns to the importance of culture, people and process for successful digital transformation, with Jackie, Helen and Laura discussing the broad impact digital transformation can have all across the university. Next, the guests focus on their curriculum redesign project and the redevelopment of their VLE, bringing colleagues together for co-design sessions, daring to dream wild dreams about what was possible, gathering feedback and incorporating it into further rounds. Finally, the episode concludes with Jackie, Helen and Laura sharing their predictions for what the sector will look like in five years' time. Show notes: Read University of Chester's case study on their involvement in the research pilot of Jisc's digital transformation toolkit Learn more about Jisc's digital transformation toolkit Discover the ‘How to approach digital transformation in higher education' report and case studies Subscribe to Headlines - our newsletter which has all the latest edtech news, guidance and events tailored to you

Send us a textPratyush Kamal explains how 3DIC technologies are transforming semiconductor design as Moore's Law slows, requiring closer integration between chip and package design to maximize performance.• Traditional chip design treated packaging as an afterthought with designers "throwing designs over the wall"• Economic realities of advanced nodes mean companies now pay more for smaller transistors, driving chiplet adoption• Thermal challenges multiply in 3D stacks as power density doubles with each added layer• Data centers projected to consume 10% of US electricity by 2030, making power efficiency critical• Siemens working to standardize design languages across tools and enable open chiplet ecosystems• Average age of electrical engineers in US is 57, creating urgent need for workforce development• Universal Chiplet Interconnect Express (UCIe) emerging as key standard for chiplet interoperabilityVisit siemens.com/3DIC to learn more about Siemens' comprehensive 3DIC solutions.Siemens EDA Siemens' EDA software helps you turn today's ideas into the sustainable products of the future.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showBecome a sustaining member! Like what you hear? Follow us on LinkedIn and TwitterInterested in reaching a qualified audience of microelectronics industry decision-makers? Invest in host-read advertisements, and promote your company in upcoming episodes. Contact Françoise von Trapp to learn more. Interested in becoming a sponsor of the 3D InCites Podcast? Check out our 2024 Media Kit. Learn more about the 3D InCites Community and how you can become more involved.

In this episode of the Becker's Healthcare Podcast, Madeline Ashley speaks with Toya Gorley and Ashley Nelson from NRC Health about the findings from the latest Experience Perspective and nSight reports, which explore how frontline leadership shapes trust in healthcare organizations. They discuss the link between workforce trust and patient experience, share actions that build or erode trust, and offer practical strategies to better support leaders at every level. Tune in for key takeaways on how to foster a culture of trust and resilience in 2025 and beyond.This episode is sponsored by NRC Health.

Angie Tangaere, works in the Auckland Co-design lab, in New Zealand. In this interview she will tell us about her experience on indigenous leadership to develop and co-design whānau-led innovation initiatives. We talk about how the co-design lab has been shifting its practices to be able to respect and take care of the indigenous communities. She recommends us to look into the work of the Youth Innovation Lab – Te Taiwhanga Rangatahi This episode is part of the lists: Territorio y diseño, Diseño con perspectiva de género, Diseño feminista, Nueva Zelanda y diseño, Gobierno y diseño, Laboratorios de innovación, Políticas públicas y diseño, D&D in English y Decolonizar. This interview has been LIVE recorded. It is a collaboration with the Government Design Finland Network.

This episode we're chat with Pinar Guvenc on “What's Wrong With” podcast, co-design, is AI ready for society and is society ready for AI? What is design? co-creation with AI as a stakeholder, bias in design, small language models, is AI making us lazy? human experience, digital life and our attention, and talking to diverse people...

Building for everyone: What's new in Google accessibility and why co-design matters session from day one of RNIB Scotland's Inclusive Design for Sustainability Conference. Listen and gain valuable knowledge about the critical role of co-design in building accessible products. This presentation will also delve into the latest accessibility features and improvements across a diverse range of Google offerings. The session was lead by Kourtney Smith and Maggie Chery, Universal Product Development at Google, as well as NM Dayton, Accessibility Standards at Google. Hear all audio from the conference here: Audioboom / Inclusive Design for Sustainability Conference 2025 Image description: A dramatic, angled shot of an empty stage. At the front a pink podium reads "RNIB Scotland, Inclusive Design for Sustainability Conference." Behind, a line of grey chairs awaits experts for the panel discussions and a large pink IMAX screen hangs above.

Allie Wong's journey is a testament to the power of student voice, ownership, and meaningful learning experiences. From her transformation at High Tech High to her work as a teacher, school leader, and now consultant, she has dedicated her career to creating learner-centered environments.In this episode, Dr. Katie Martin and Allie discuss the impact of project-based learning, the role of student agency in math instruction, and strategies for leading schoolwide change. Allie shares how she co-designed projects with students, built a collaborative staff culture, and empowered both educators and learners to take ownership of their growth.Katie and Allie share practical takeaways for teachers, leaders, and anyone looking to create more engaging and effective learning experiences. Listen for insights on shifting mindsets, fostering teacher autonomy, and ensuring all learners graduate knowing who they are, ready to thrive in their community and engage in the world as their best selves.

Dr. Dan Sorin is a Professor of Electrical and Computer Engineering at Duke University, and a co-founder of Realtime Robotics. Dan is widely known for his pioneering work in memory systems. He has co-authored the seminal Primer on Memory Consistency and Cache Coherence, which has become a foundational resource for students and researchers alike. Dan's contributions span from developing resilient systems that tolerate hardware faults to innovations in cache coherence protocols, and has been recognized by multiple best paper awards and patents. His work at Realtime Robotics has pushed the boundaries of autonomous motion planning, enabling real-time decision-making in dynamic environments.

Vous vous souvenez de l'émission Frou-Frou ? Et bien le CLUB, c'est un peu le Frou-Frou de la déco !Tous les 2 mois, LE CLUB se rassemble pour vous parler déco, design, tendances, conseils pratiques et même transition écologique.Chaque journaliste son thème et sa chronique :Violaine Belle-Croix, rédactrice en chef de MARIE CLAIRE ENFANTS et citoyenne engagée via son média WITE sur Instagram, nous donne des idées de cadeaux engagés ou écolo pour toute la famille selon des profils types (c'est très drôle à écouter, vraiment !)Billie Blanket, journaliste et influenceuse, nous parle des origines des déco de Noël (d'où vient la tradition du sapin, des boules, etc.)Marie Farman, journaliste spécialisée en design, nous présente l'incroyable expo Christofle qui a ouvert au MAD jusqu'au mois d'avril Un melting pot comme on les aime pour une discussion dans la joie et la bonne humeur !Merci à Maison Sarah Lavoine de nous avoir accueillies pour l'enregistrement. Et merci à Tikamoon, fidèle partenaire de cette émission.Si ce podcast vous plait n'hésitez pas > à vous abonner pour ne pas rater les prochains épisodes> à mettre un commentaire ou 5 étoiles (sous la liste des épisodes, rubrique "Laissez un avis")> à suivre @decodeur__ sur Instagram et à partager l'épisode en Story par exemple > à découvrir plus de 150 épisodes déjà en ligne et les différents formats de l'émission> à parler de DECODEUR autour de vous, tout simplement...!Merci beaucoup

Dans cet épisode captivant du podcast ArtEcoVert, plongez au cœur des enjeux passionnants de l'innovation textile avec nos invités d'exception, Pascal Denizart et Maude Vulliet, membres du CETI (Centre Européen des Textiles Innovants). Ensemble, nous explorons les défis et les opportunités que représentent la durabilité et l'éco-design dans un secteur en pleine mutation. Pascal, directeur du CETI, nous livre une vision inspirante de la mission de l'institut, qui se consacre à la transformation des textiles pour répondre aux défis sociétaux actuels. "Il est essentiel de repenser notre approche des textiles pour bâtir un avenir plus durable", déclare-t-il, soulignant l'importance d'intégrer des pratiques respectueuses de l'environnement dans chaque étape du processus de création. Maude, en tant que chef de projet R&D, partage son expérience précieuse dans l'accompagnement des clients, les guidant depuis l'idée jusqu'à la mise en œuvre industrielle de nouveaux produits. Elle évoque également les nouvelles fibres, les colorants biosourcés et l'impact des plantes tinctoriales, telles que l'indigo et la garance, sur la teinture végétale. Ces éléments sont cruciaux pour garantir une coloration naturelle et respectueuse de notre planète. Cet épisode aborde également la nécessité de régulations claires et égales face à la montée de la fast fashion, un sujet brûlant qui mérite notre attention. Le CETI : https://www.ceti.com/Épisode de Pile Couleur : https://smartlink.ausha.co/art-eco-vert/e30-pile-couleur-le-chemin-de-la-semi-industrialisation-de-la-couleur-vegetale-en-textile

Drew and Joe do a deep drive on codesign studies.  They'll talk about things to keep in mind while running them, when the right time is, and some tricks for analyzing once the study is done.Send us a textSupport the showSend your questions to InsideUXR@gmail.comVisit us on LinkedIn, Facebook, X (Twitter) or our website, at www.insideUXR.comCredits:Art by Kamran HanifTheme music by NearbysoundVoiceover by Anna V

Cameron Tonkinwise is a design professor in the Sydney University of Technology. He is an expert in design studies and leading voice in the field of Transition Design. In this interview talked about the opportunities in the public sector and universities in driving creative futures , about energy transitions and in designing for a less material intense society. We also talk about his new book and on the magic of design. This episode is part of the list: Educación en diseño, Australia y diseño, Reino Unido y diseño, Diseño en transición, Diseño sostenible, Design in the public sector and D&D in English.

Vous vous souvenez de l'émission Frou-Frou ? Et bien le CLUB, c'est un peu le Frou-Frou de la déco !Tous les 2 mois, LE CLUB se rassemble pour vous parler déco, design, tendances, conseils pratiques et même transition écologique.Chaque journaliste son thème et sa chronique :Cette fois Billie Blanket, journaliste et influenceuse, nous présente son nouveau livre VERT TOIT (ou vert avec un T !)...Violaine Belle-Croix, rédactrice en chef de MARIE CLAIRE ENFANTS et citoyenne engagée via son média WITE sur Instagram, nous parle charge mentale green...Enfin Marie Farman, journaliste spécialisée en design, nous parle art et surréalismeUn melting pot comme on les aime pour une discussion dans la joie et la bonne humeur !Merci à l'Hotel PLEY de nous avoir accueillies pour l'enregistrement. Et merci à Tikamoon, fidèle partenaire de cette émission.Bonne écoute !Si ce podcast vous plait n'hésitez pas > à vous abonner pour ne pas rater les prochains épisodes> à mettre un commentaire ou 5 étoiles (sous la liste des épisodes, rubrique "Laissez un avis")> à suivre @decodeur__ sur Instagram et à partager l'épisode en Story par exemple > à découvrir les 100 épisodes déjà en ligne et les différents formats de l'émission> à parler de DECODEUR autour de vous, tout simplement...!Merci beaucoup

⁠Raphaelle Barbier ⁠is a design researcher based in France. In this interview we talk about why it is worthy to introduce co-design in the context of the project dealing with earth observations, and how they did it. Raphaelle tells about her doctoral research in which she uses as case ⁠E-Shape⁠, that project.  She brings clear examples and explains how she sees the role of a designer working in big EU projects, with multiple research partners and other stakeholders. This is the 5th and last episode of a series on Infrastructures. This is a series of 5 interviews to people based or coming from: Ireland, Finland, France,  Denmark, and the United States. My main focus is in understanding the possible role of design in infrastructures. I started this enquiry interviewing designers involved in the development of services for other projects or based in other infrastructures. I wanted to ask them: what can we design in relation to the work of  infrastructures? This episode is part of the lists: Infrastructures, Francia y diseño y Diseño sostenible. The lists can be found in our website, in Spotify and in our Youtube page. This series is part of the work I do for an EU project: ⁠IRISCC. ⁠Integrated Research Infrastructure Services for Climate Change Risks. In this project we will develop services using a co-design framework.

The Selective Dorsal Rhizotomy and bridging the gap: co-designing a decision aid for informed decision making.

Send Dr Khan a Text Message. Ask a question or say hi!Dr Rachel Hall-Clifford is a medical anthropologist and a global health expert who has done extensive field work to improve systemic health inequities around the world. When she developed Long Covid after an infection in 2022, those systemic failures became a personal issue. Dr Hall-Clifford wrote a powerful article on her experience with Long Covid and the role wealthy countries play in the global treatment of this disease. In our conversation, she speaks about her personal struggles and the universal need for Long Covid treatment."Long Covid Feels Like a Gun to My Head" https://www.statnews.com/2024/06/18/long-covid-infectious-disease-expert-personal-story-life-with-no-cure/"Underbelly: Childhood Diarrhea and the Hidden Local Realities of Global Health"https://mitpress.mit.edu/9780262547765/underbelly/safe+natalwww.safenatal.org Dr Hall-Clifford's TedX Talk on Co-Design in global public health: https://www.youtube.com/watch?v=rvRAdsQ1_hA Rachel Hall-Clifford (PhD, MPH, MSc) is Associate Professor in the Center for the Study of Human Health and the Department of Sociology at Emory University. She is a medical anthropologist who applies social science approaches to global health research and implementation. Her research areas include accessible health care for marginalized populations, health systems strengthening in post-genocide contexts, and global health fieldwork ethics. She is author of the new book, Underbelly, focusing on the multivalent power asymmetries in global health.  Rachel is also Co-Founder of safe+natal, a perinatal monitoring and care toolkit developed with Guatemalan midwives. Global health was brought home in a new way for Rachel since the covid infection that led to long covid in 2022. Follow me on X @doctor_zeest

Playground Accessibility - the Participate app:Co-designing a mobile application to improve participation opportunities for children with neurodisabilities.

David Thompson is back on the pod with several of his co-designers for a discussion of what it's like to create games together, with tips for how to do it well. Beyond Solitaire is proudly sponsored by Central Michigan University's Center for Learning Through Games and Simulations, where learning can be both playful and compelling. Check them out here: https://www.cmich.edu/academics/colleges/liberal-arts-social-sciences/centers-institutes/center-for-learning-through-games-and-simulationsCheck out CMU's game offerings here: https://cmichpress.com/shop/Sign up for an online game design class here: https://www.cmich.edu/academics/colleges/liberal-arts-social-sciences/centers-institutes/center-for-learning-through-games-and-simulations/certificate-in-applied-game-designAll episodes of my podcast are available here: https://beyondsolitaire.buzzsprout.com/Enjoy my work? Consider supporting me on Patreon at https://www.patreon.com/beyondsolitaire or getting me a "coffee" on Ko-fi! https://ko-fi.com/beyondsolitaireContact Me: Email: beyondsolitaire at gmail.comTwitter: @beyondsolitaireInstagram: @beyondsolitaireFacebook: www.facebook.com/beyondsolitaireWebsite: www.beyondsolitaire.net

From being a distinguished engineer at Sun Microsystems to co-founding Oxide Computer Company to build a new kind of server, Bryan joins the show to chat about being told that he's on a suicide mission when starting Oxide, the moment he felt “I'm actually living HBO Silicon Valley”, and lessons from Sun. And much more. Chapters: (00:02:24) The Origin of Bryan's Nom-de-Guerre: "Colonel of Data Corruption" (00:04:02) What Debugging Performance Issues at Twitter in the Early Days Revealed About Silicon Valley (00:13:37) Value of Formal Education and the Experience That Everyone Should Have (00:16:02) Balancing Following One's Passion vs. Having Stability (00:21:14) What Shaped Bryan's Sense of Integrity (00:25:39) The Moments When Values Are Instilled (00:30:25) The Dark Side of Tech (00:35:12) "Economic Opportunities Attract Economic Opportunists" (00:40:35) The Origins of Oxide Computers (00:50:20) Building the A-Team (00:52:18) "Compaq Was the Most Successful Startup" (00:55:51) The Venture Capitalist's Dilemma (01:03:04) Being Told "You're on a Suicide Mission" (01:07:12) The Lifestyle of the "Lifestyle Business" (01:09:30) The Harsh Reality of Raising Venture Capital (01:13:12) The Challenges of Building Hardware (01:16:36) Why You Should Think About Not Only Gross Margin but Net Margin (01:19:14) Hardware and Software Co-Design (01:22:06) The Frustrations of Infrastructure Deployment (01:26:46) Finding the Right VCs (01:28:16) "Oh My God, I'm Actually Living HBO Silicon Valley" (01:33:12) Oxide's Principles and Lessons from Sun Microsystems (01:39:51) Sun's Unspoken Values (01:45:03) Sun's Legacy of Empowering Employees (01:48:53) Sun's Missed Opportunities (01:53:04) The Reason Why Sun Survived the Dot-Com Crash (01:56:21) "God Bless the Early Adopters" (01:57:39) A Tweet from Shopify's CEO (02:01:24) The Hard Thing About Hard Things (02:12:55) The Hardest Moment in Oxide's History   Show Notes: - Oxide's principles: https://oxide.computer/principles - Requests for Discussion (RFDs): https://rfd.shared.oxide.computer/ - Toby's tweet: https://x.com/tobi/status/1793798092212367669 - Bryan on twitter: https://x.com/bcantrill Stay in touch:

Tous les 2 mois, LE CLUB se rassemble pour vous parler déco, design, actus, tendances, conseils pratiques et même transition écologique.Chaque journaliste son thème et sa chronique :Cette fois Billie Blanket, journaliste et influenceuse, nous parle d'une grande tendance déco : les rayures ! Ce que ça apporte, où les mettre, quelles marques, inspiration garantie !Violaine Belle-Croix, rédactrice en chef de MARIE CLAIRE ENFANTS et citoyenne engagée via son média WITE sur Instagram, nous sensibilise aux polluants éternels et notamment la nécessité de ne plus jamais utiliser de poêle avec un revêtement antidérapantEnfin Marie Farman, journaliste spécialisée en design, nous présente 3 femmes créatrices, artisanes ou artistes, pour qui la nature et les éléments sont des sources d'inspiration et de réflexion..Un melting pot comme on les aime pour une discussion dans la joie et la bonne humeur !Merci à l'Hôtel Ernest de nous avoir chaleureusement accueillies pour l'enregistrement. Et merci à Tikamoon, fidèle partenaire de cette émission.Bonne écoute !Si ce podcast vous plait n'hésitez pas > à vous abonner pour ne pas rater les prochains épisodes> à mettre un commentaire ou 5 étoiles (sous la liste des épisodes, rubrique "Laissez un avis")> à suivre @decodeur__ sur Instagram et à partager l'épisode en Story par exemple > à découvrir les 100 épisodes déjà en ligne et les différents formats de l'émission> à parler de DECODEUR autour de vous, tout simplement...!Merci beaucoup

I am so excited to bring you an interview with one of my Collective members. I haven't done an interview on the pod for quite a while and Fliss is joining me today as Collective member of the month. Fliss is an Emotional Wellbeing and Empowerment Coach. A background as a qualified Life Coach and Inclusion Specialist created the perfect partnership of experience for her to be able to create impact in the Emotional Wellbeing space.  After a personal trauma and living with chronic health conditions Fliss decided that it was time to start her journey into the world of wellness. Turning tragedy into a way to support others she created Co Design with Fliss. Hear us talk about about: - the certainty of change in life - why it's important to notice when toxic positivity is in play - the reality of managing a business with a chronic health condition - the power of being an embodiment of her ideal client I hope you enjoy this interview with Fliss. She has so many beautiful nuggets to share with us all about creating a business that works for you and being able to show up with authenticity.  And if you're wanting accountability and to surround yourself with other wellness entrepreneurs why not join me over in the Wellness Collective. To join me and other wellness entrepreneurs in the Collective click the link here www.kirstykianifard.com/collective.    Website: https://www.codesignwithfliss.com Instagram: https://www.instagram.com/codesignwithfliss/ __________________________________________ BITESIZE BUSINESS Tap here to have your question featured live on The Wellness Entrepreneur Podcast  _____________________________________________________ IF YOU ENJOYED THIS EPISODE, YOU MAY ALSO LIKE:  The Success of All Future Launches Depends on These 7 Steps https://podcasts.apple.com/gb/podcast/the-success-of-all-future-launches-depends-on-these-7-steps/id1455716065?i=1000536365788   5 Steps to Attracting More Clients and Making More Sales https://podcasts.apple.com/gb/podcast/5-steps-to-attracting-more-clients-and-making-more-sales/id1455716065?i=1000549179429 _________________________   Say hi to Kirsty Kianifard on social: Facebook: https://www.facebook.com/kirstykianifard/ YouTube: https://www.youtube.com/user/KirstyKianifard Instagram: http://instagram.com/kirstykianifard  

Learn more about the life, work, struggles, and achievements of Denise Scott Brown. For show notes and more information check out our website https://www.shebuildspodcast.com/episodes/denisescottbrown2Mentioned in this episode:UnstructJoin our Live Recording on March 2nd!Have you listened to a She Builds Podcast episode and thought "it's like I'm in the room with them? " Now is your chance to join the party! We will do a live recording of our 100th episode and everyone is invited! On March 2nd at 2 pm EST - Lizi Raar, Norgerie Rivas, and me Jessica Rogers - will live record our 100th episode. Join us as we record the wrap-up of our season and reflect on the past ten - we play our typical games and share some of our favorite moments. Here is the link: https://riverside.fm/studio/she-builds-podcast see you there!ArchITCVGSpeak PipeWe're planning something special and we need your help. Please go to THIS LINK (https://www.speakpipe.com/SheBuildsPodcast) and leave us a 10-30 second voice note about your favorite episode, caryatid, or any lady in the AEC profession who inspires your career and life. You might hear yourself on a future episode. Stay tuned!CoDesign

In today's episode, the finale of Season 10, Stacy and Daniel discuss best practices for a clean, healthy, and mostly dry basement. Then, Stacy and Daniel welcome Tara Mangini and Percy Bright, the legendary design team behind Jersey Ice Cream Co. Tara and Percy have traded their nomadic lifestyle for an 1880s farmhouse in upstate NY and most recently starred in their own TV show, The Story of Home on Magnolia Network, now streaming on Max and Discovery+. Mentioned in this Episode: Travel to England with Stacy and Holiday Vacations in 2024 - Discover royal history, magnificent palaces, and England's beautiful countryside September 7-17. The Story of Home (trailer) streaming on Max and Discovery+ Learn more about Jersey Ice Cream Co. Design Season 11 of True Tales From Old Houses begins Monday, May 6, 2024. WE LOVE OUR SPONSORS The Craftsman Store - Another excellent resource from Scott Sidler of The Craftsman Blog. The Craftsman Store is a cozy online hardware store full of books, tools, and supplies. For 10% off, use the coupon code truetales. Sutherland Welles - Maker of exceptional polymerized tung oil finishes since 1965. To save 10% on your first order, use the coupon code truetales.