Podcast appearances and mentions of Ben Horowitz

En este episodio de El Brieff revisamos cómo la CNTE levantó el plantón pero seguirá a Sheinbaum en sus giras, Claudia Sheinbaum recibe a Ben Horowitz de Andreessen Horowitz y anuncia 37 empresas mixtas eléctricas, Ken Salazar revela que AMLO estaba preocupado por lo que "El Mayo" pueda decir, BMW invierte 2,000 millones para producir eléctricos en San Luis Potosí, las pausas de hidratación del Mundial generan 500-600 millones de dólares, Irán cerró Ormuz una semana después del acuerdo con EE.UU., Apple y Huawei crecen mientras el mercado de smartphones cae 8%, y Revolution Medicines no busca ser adquirida tras avances en cáncer de páncreas.Este episodio es traído a ti por STRTGY AI Enterprise: diseñamos sistemas inteligentes hechos a la medida para resolver retos reales de tu empresa, desde automatizar procesos y recuperar eficiencia hasta reducir errores, fugas y costos operativos. Si hoy tu operación te quita tiempo, margen o control, escríbenos a hola@strtgy.ai o llena el formulario en strtgy.ai para explorar cómo podemos ayudarte.Recibe gratis nuestro newsletter con las noticias más importantes del día.Si te interesa una mención en El Brieff, escríbenos a arturo@strtgy.ai Hosted on Acast. See acast.com/privacy for more information.

Recorded live at the New Media Summit, Marc Andreessen, Ben Horowitz, Erik Torenberg, and Gaby Goldberg discuss how media, communication, and influence are changing in the internet era. The conversation explores the shift from legacy media to creator-led platforms, why authenticity has become a competitive advantage, and how founders can build audiences by communicating directly with customers, employees, and the public. They discuss podcasts, social media, storytelling, corporate communications, and the changing relationship between companies, journalists, and audiences. Along the way, they examine how founders can develop a public voice, why some leaders become influential communicators, and what it means to build a brand in a world where distribution is increasingly decentralized.   Resources: Follow Marc Andreessen on X: https://x.com/pmarca Follow Ben Horowitz on X: https://x.com/bhorowitz Follow Erik Torenberg on X: https://x.com/eriktorenberg Follow Gaby Goldberg on X: https://x.com/gaby_goldberg Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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

L'ensemble des liens utiles : Envie de vous inscrire à Yaniro Minute ? 1 conseil par newsletter. 1mn de lecture ? C'est ici : https://www.yaniro.co/yanirominuteEnvie d'envoyer à vos managers la version auto-administrée de notre formation au management ? C'est ici : https://yanirowiki.co/kitEt pour retrouver les meilleures pratiques RH directement dans notre Yaniro Wiki c'est ici : https://yanirowiki.co/Résumé de l'épisode

Recorded live at the a16z Fintech Connect conference in Deer Valley, Alex Rampell speaks with Ben Horowitz, cofounder and general partner at a16z, about how AI has rewritten the fundamental rules of software competition, why crypto infrastructure will become essential in an AI-dominated world, and what the future holds for venture capital. Follow Alex Rampell on X: https://twitter.com/arampell Follow Ben Horowitz on X: https://twitter.com/bhorowitz Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Ben Horowitz shares lessons from building and scaling companies, drawing on his experience as a founder and CEO. He explains why a founder's primary responsibility comes down to one thing: delivering the right product at the right time. The conversation covers how strategy actually develops in practice, why a company's story is inseparable from its strategy, and how founders should think about hiring, fundraising, and decision-making in fast-changing environments. Horowitz also discusses how AI is reshaping teams, the increasing importance of creativity and relationships, and why roles may evolve toward more generalist “builders.” He also reflects on navigating uncertainty, the reality of pivots, and why defensibility still comes down to solving hard problems and building meaningful relationships with customers.   Resources: Follow Ben Horowitz on X: https://x.com/bhorowitz Follow Speedrun on YouTube: https://x.com/speedrun Apply for Speedrun: https://speedrun.a16z.com/ Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

米ベンチャーキャピタル大手「アンドリーセン・ホロウィッツ」の共同創業者ベン・ホロウィッツ氏と面会した高市早苗首相、１４日午後、首相官邸高市早苗首相は１４日、米ベンチャーキャピタル大手「アンドリーセン・ホロウィッツ」の共同創業者ベン・ホロウィッツ氏と首相官邸で面会した。 Japanese Prime Minister Sanae Takaichi met with Ben Horowitz, co-founder of Andreessen Horowitz, a major U.S. venture capital firm, at the prime minister's office in Tokyo on Thursday.

Japanese Prime Minister Sanae Takaichi met with Ben Horowitz, co-founder of Andreessen Horowitz, a major U.S. venture capital firm, at the prime minister's office in Tokyo on Thursday.

The Win Make Give podcast, hosted by Ben Kinney with co-hosts Chad Hymes and Bob Stewart, explores the top leadership books to elevate your influence and effectiveness. Featuring insights from renowned authors like Andrew Grove, Joe Calloway, Ben Horowitz, John Maxwell, Sam Walker, and Clint Swindoll, this episode dives into essential reads such as "High Output Management," "Work Like You're Showing Off," "Five Levels of Leadership," and "Engaged Leadership." Discover strategies for developing leadership qualities, creating winning teams, and cultivating a culture of engagement and growth. Resources: High Output Management by Andrew Grove Work Like You're Showing Off by Joe Calloway The Hard Thing About Hard Things by Ben Horowitz The Five Levels of Leadership by John Maxwell The Captain Class by Sam Walker Engaged Leadership by Clint Swindall ---------- Connect with the hosts: •    Ben Kinney: https://www.BenKinney.com/ •    Bob Stewart: https://www.linkedin.com/in/activebob •    Chad Hyams: https://ChadHyams.com/ •    Book one of our co-hosts for your next event: https://WinMakeGive.com/speakers/   More ways to connect: •    Join our Facebook group at www.facebook.com/groups/winmakegive •     Sign up for our weekly newsletter: https://WinMakeGive.com/sign-up •     Explore the Win Make Give Podcast Network: https://WinMakeGive.com/   Part of the Win Make Give Podcast Network 00:00 Exploring Leadership Through Books and Unique Reading Strategies 05:28 Andrew Grove's Impact on Leadership and Management Literature 09:40 Embracing Boldness and Innovation for Future Success 14:22 The Hard Thing About Hard Things by Ben Horowitz 18:14 Exploring Leadership Levels and Influential Leaders 24:50 The Unseen Leaders Behind History's Greatest Sports Teams 33:00 Engaged Leadership and the Importance of Organizational Change

David Ulevitch speaks with Ben Horowitz about what it means to lead the technology industry at scale, and the responsibilities that come with it. Following the firm's largest-ever fundraise, they discuss how venture capital, technology, and national strategy are increasingly intertwined. The conversation covers America's role in the next technological revolution, from AI to advanced manufacturing, and why maintaining technological leadership is critical not just for economic growth, but for global influence. Horowitz also shares his perspective on working with government, supporting national security innovation, and building systems that give more people the opportunity to contribute. They also discuss how venture capital is evolving, the shift toward larger firms and specialized strategies, and why optimism about technology, and its potential to improve lives, remains essential even amid growing skepticism.   Resources: Follow Ben Horowitz on X: https://x.com/bhorowitz Follow David Ulevitch on X: https://x.com/davidu   Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Anjney Midha, founder of AMP PBC, speaks with Ben Horowitz, cofounder of a16z, about how venture capital changed from a small, relationship-driven business into a scalable system for backing new technology companies. They discuss network effects, firm design, leadership, culture, and how AI is reshaping both the capital race and the kinds of companies that can be built now.   Resources: Follow Ben on X: https://x.com/bhorowitz Follow Anjney on X: https://x.com/AnjneyMidha Watch more from CS 153: Frontiers: https://www.youtube.com/@CS153Team Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The internet already has a bot problem — and it's just getting worse. a16z's Ben Horowitz and Erik Torenberg speak with Alex Blania of Tools for Humanity. World is building the largest real human network, a proof-of-human layer for the AI era. They cover the technical challenge of proving human uniqueness at scale using iris biometrics, the privacy architecture behind World ID, and why platforms from social networks to dating apps to video conferencing will soon require proof of human verification. Timestamps:  0:00—Introduction  4:07—Three Big Ideas People Were Interested In  9:05—The Orb Verification Piece  15:20—Social Media Bots: PSYOPs and Propaganda  29:18—We Had Proof of Personhood for the Longest Time  36:44—Next Year Go-to-Market Is Focused on the US  40:09—Different Levels of Verification Resources:  Follow Alex Blania on X: / alexblania  Follow Ben Horowitz on X: / bhorowitz  Follow Erik Torenberg on X: / eriktorenber Follow a16z crypto for more...  X: https://x.com/a16zcrypto  LinkedIn: https://www.linkedin.com/showcase/a16zcrypto/posts/  YouTube: https://www.youtube.com/@a16zcrypto  Substack: https://a16zcrypto.substack.com/subscribe/   As always, none of the following should be taken as investment, business, legal, or tax advice. Please see a16z.com/disclosures for more important information, including a link to a list of our investments. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Recorded live at the a16z Fintech Connect conference in Deer Valley, Alex Rampell speaks with Ben Horowitz, cofounder and general partner at a16z, about how AI has rewritten the fundamental rules of software competition, why crypto infrastructure will become essential in an AI-dominated world, and what the future holds for venture capital.   Resources: Follow Alex Rampell on X: https://twitter.com/arampell Follow Ben Horowitz on X: https://twitter.com/bhorowitz Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

NYT bestselling author Shaka Senghor talks with Derek Champagne about his personal story and his powerful new book, How to Be Free: A Proven Guide to Escaping Life's Hidden Prisons."I love this book—because it teaches you how to manifest freedom in your own life and how that work allows you to rise to your greatest glory." —Oprah Winfrey, The Oprah PodcastAfter 19 years in prison—7 of them in solitary—Shaka emerged not just with a story, but with a methodology. In this book, he distills the inner work that helped him survive, heal, and grow into practical tools that anyone can apply to their own life.Because not all prisons have bars. We all live inside systems, stories, and cycles that can hold us back—doubt, fear, disconnection. And for men in particular, a flawed definition of manhood—emotional suppression, isolation, performative strength—can quietly destroy us. Shaka challenges that directly and offers a radically honest path to healing, self-trust, and real leadership.Each chapter blends hard-won wisdom with actionable steps (including “Keys to” sections at the end of each chapter that offer concrete, practical guidance), perfect for readers hungry for a path that's real, not performative. Shaka's work has been praised by figures ranging from Oprah to Ben Horowitz, and he's regularly sought after by CEOs and changemakers for his insights on leadership, trust, and mindset.Business Leadership Series Intro and Outro music provided by Just Off Turner: https://music.apple.com/za/album/the-long-walk-back/268386576

a16z's Ben Horowitz and Erik Torenberg speak with Alex Blania, cofounder and CEO of Tools for Humanity, World, and cofounder of Merge Labs. World is building the largest real human network, a proof-of-human layer for the AI era. They cover the technical challenge of proving human uniqueness at scale using iris biometrics, the privacy architecture behind World ID, and why platforms from social networks to dating apps to video conferencing will soon require proof of human verification.   Resources: Follow Alex Blania on X: https://twitter.com/alexblania Follow Ben Horowitz on X: https://twitter.com/bhorowitz Follow Erik Torenberg on X: https://twitter.com/eriktorenberg Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Nearly one in 20. That's the number of single-family rental homes in the Twin Cities metro now owned by a private investor. The finding comes from the Federal Reserve Bank of Minneapolis, which has been tracking investor ownership from 2006 to 2024. It's one marker of a changing real estate market amid ongoing conversations about housing affordability and ownership possibilities. The Minneapolis Fed will host an event Thursday morning where it will share more about the data. MPR News host Nina Moini talked with Ben Horowitz, one of the presenters and part of the team behind the project.

What do Nikita Bier, zerohedge, Ben Horowitz, and Burger King all have in common? Their Twitter takes were all featured on this week's ADSN.James and Daniel check out the decline of office construction while data center construction is skyrocketing, clear signal that we're moving even faster from physical to digital. The guys also unpack what that means for the future of work (hint: Revenue Per Agent is coming), the rise of bots creating bots, and why we're in the geocities era. They also talk about why great salespeople are even more valuable in an AI world. And of course don't miss this week's primary posts.Joining the guys is Dante Dicicco, restaurant owner and product leader at Block, also known as Square, who brings a grounded, real world perspective on how AI is affecting operators today. They discuss procurement, payment processing economics, customer support, and how platforms like Square and Toast are getting restaurants to adopt AI. Dante also brings his experience being a restaurant owner to the show and shares first hand how he's building tech into his main street business.STAY CONNECTEDJAMES on Twitter & Linkedin –⁠ /jamesborow⁠DANIEL on LinkedIn, Instagram, TikTok –⁠ /danieldruger⁠

On the show Long Strange Trip, Sequoia Capital partner Brian Halligan speaks with a16z's Ben Horowitz about what separates great founder CEOs from everyone else. Ben explains why first-time founders lose confidence, defer too much to senior hires, and let decision debt paralyze their companies. They discuss where founder mode works and where people are taking it too far, why the VP of Sales is the hire founders mess up more than any other, and why Andy Grove's "constructive confrontation" matters more than most CEOs realize. Ben also shares what he's learned working with Zuckerberg, what Jensen Huang and Elon Musk actually have in common, and why culture is defined by behavior, not values.   Resources: Follow Brian Halligan on X: https://twitter.com/bhalligan Follow Ben Horowitz on X: https://twitter.com/bhorowitz Listen to more from Long Strange Trip: https://www.youtube.com/playlist?list=PLOhHNjZItNnNu8wknSuVtcSJRs7Q4xqOE   Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Stocks drop sharply on continued fighting in the Middle East. Two of Wall Street's top strategists lay out how to think about positioning with so much geopolitical uncertainty. Then, Andreessen Horowitz's Ben Horowitz on his firm's investments in aerospace and defense and how the war with Iran is impacting sentiment, especially in the AI sector. Plus, the CEO of MongoDB. The stock getting caught up in fears about software, falling even more after releasing results. His outlook, this hour. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Erik Torenberg, Ben Horowitz, and Marc Andreessen discuss how the media landscape has fundamentally changed and what a16z is doing about it. They cover why offense beats defense, why individuals now matter more than corporate brands, why speed wins in the new media landscape, and the difference between oral and written culture on the internet.   Resources: Follow Erik Torenberg on X: https://twitter.com/eriktorenberg Follow Ben Horowitz on X: https://twitter.com/bhorowitz Follow Marc Andreessen on X: https://twitter.com/bhorowitz Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Moonshots host Peter Diamandis speaks with Ben Horowitz, cofounder and general partner at a16z, alongside regular cohosts Salim Ismail, Dave Blundin, and Dr. Alexander Wissner-Gross, about whether AI can or should be paused, what happened when Horowitz told a Biden administration official that regulating AI means regulating math, why crypto is the natural money for AI agents, and why the gap between AI capability and societal adoption may be wider than people think. This episode originally aired on Peter Diamandis's Moonshots podcast.   Follow Peter H. Diamandis on X: https://x.com/PeterDiamandis Follow Ben Horowitz on X: https://twitter.com/bhorowitz Follow Salim Ismail on X: https://twitter.com/salimismail Follow Dave Blundin on X: https://twitter.com/DavidBlundin Follow Dr. Alexander Wissner-Gross on X: https://twitter.com/alexwg Listen to Moonshots: https://www.youtube.com/@peterdiamandis   Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, the mates, along with guest Ben Horowitz, explore Elon Musk's shift to lunar AI data centers, mass drivers, O'Neill cylinders, Dyson swarms, and Optimus robots pioneering space. Get notified once we go live during Abundance360: https://www.abundance360.com/livestream  Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends   Peter H. Diamandis, MD, is the Founder of XPRIZE, Singularity University, ZeroG, and A360 Ben Horowitz is a cofounder and general partner at Andreessen Horowitz (a16z), NY Times bestseller author, and creator of the a16z Cultural Leadership Fund. Salim Ismail is the founder of OpenExO Dave Blundin is the founder & GP of Link Ventures Dr. Alexander Wissner-Gross is a computer scientist and founder of Reified – My companies: Apply to Dave's and my new fund:https://qr.diamandis.com/linkventureslanding   Go to Blitzy to book a free demo and start building today: https://qr.diamandis.com/blitzy   _ Connect with Peter: X Instagram Connect with Ben X Instagram Linkedin Learn about a16z Connect with Dave: X LinkedIn Connect with Salim: X Join Salim's Workshop to build your ExO  Connect with Alex Website LinkedIn X Email Substack  Spotify Threads Listen to MOONSHOTS: Apple YouTube – *Recorded on February 13th, 2026 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

My guest today is Ben Horowitz, the co-founder of Andreessen Horowitz. Since its founding in 2009, a16z has grown into one of the most influential firms in venture capital, reshaping how technology companies are funded and how power and ideas move through Silicon Valley and around the world. This conversation focuses on sides of Ben's story you don't often hear. Ben reflects on the people who shaped him, including Nas, Andy Grove, and his father, and shares why he chose to personally fund new technology for the Las Vegas Police Department. We also talk about how he thinks about a16z's responsibility in shaping the trajectory of America, the scale of his ambition for the firm, and what he sees as the biggest risk facing the country. Please enjoy this great and unique conversation with Ben Horowitz. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠Ramp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠ to sign up for free and get a $250 welcome bonus. ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vanta. Trusted by thousands of businesses, Vanta continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Visit vanta.com/invest.  ----- This episode is brought to you by Rogo. Rogo is an AI-powered platform that automates accounts payable workflows, enabling finance teams to process invoices faster and with greater accuracy. Learn more at Rogo.ai/invest. ----- This episode is brought to you by ⁠WorkOS⁠. WorkOS is a developer platform that enables SaaS companies to quickly add enterprise features to their applications. Visit ⁠WorkOS.com⁠ to transform your application into an enterprise-ready solution in minutes, not months. ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ridgeline⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgelineapps.com. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Timestamps (00:00:00) Welcome to Invest Like the Best (00:02:43) Episode Intro: Ben Horowitz (00:03:27) The State of America Right Now (00:06:06) How Policy Could Destroy America (00:08:29) AI Changes the Laws of Company Building and Investing (00:11:40) Why AI Researchers are Paid $100M (00:13:16) Thoughts on Growing Inequality (00:18:07) Societal Challenges Due to AI (00:19:56) Ben's Scope of Ambition for the Next 20 Years (00:22:48) Andy Grove's Influence on Ben (00:27:44) Starting Andreessen Horowitz (00:32:53) Early Mistakes (00:36:17) What Capital Markets Are Missing (00:37:44) Why VC and Not PE (00:40:03) Tradeoffs with Scale (00:41:10) A Culture is Not a Set of Ideas, it's a Set of Actions (00:43:05) Lessons from His Father (00:45:03) Exciting Use Cases of AI (00:46:46) Ben's Friendship with Nas (00:50:05) Funding New Technology for the Las Vegas Police Department (00:54:07) The Kindest Thing

a16z general partner David Haber spoke with Goldman Sachs CEO David Solomon and a16z cofounder Ben Horowitz on the current macro environment, enterprise AI adoption, and crypto and AI policy. Solomon describes what he calls the "sweetest spot" he's seen in 40 years and explains Goldman's "One GS 3.0" initiative to reimagine core processes with AI. Horowitz discusses why "leads aren't what they once were" in AI and how a16z grew from a startup VC to capturing 18% of all US venture capital. Resources: Follow David Solomon on X: https://twitter.com/DavidSolomonFollow Ben Horowitz on X: https://twitter.com/bhorowitzFollow David Haber on X: https://twitter.com/dhaber Timestamps: 00:00 — Introduction02:09 — Goldman's Evolution from Partnership to Public Company08:54 — How a16z Went from Top Tier to 18% of All US Venture Capital15:33 — "As Sweet a Spot" as Solomon Has Seen in 40 Years19:00 — M&A Outlook: "Whatever the Question Is, the Answer Is Maybe"21:33 — Why Leads Aren't What They Once Were in AI23:03 — Crypto Policy: The Genius Act and Clarity Act25:24 — AI Policy: "Don't Regulate Math"28:03 — One GS 3.0: Reimagining Processes with AI32:54 — Will AI Agents Change Investing?34:00 — Favorite DJ Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Can a country be built from the internet up? Not as a metaphor or an online community, but as a system that replaces institutions we usually think of as fixed, money, law, and governance.In this conversation taken from The Network State Podcast, a16z cofounder Ben Horowitz joins Balaji Srinivasan to explore how internet native institutions are beginning to mirror and challenge traditional state structures. Drawing parallels to China's early special economic zones, they discuss how constrained experiments like Shenzhen tested new rules without rewriting the entire system, and why similar experimentation is now happening online.The discussion examines crypto, digital identity, and network states as attempts to turn code into coordination and coordination into legitimacy, while grappling with a core tension. Code is deterministic, but societies are not. Ben and Balaji explore where these systems work, where they break, and whether network states are a curiosity or the next phase of governance. Resources:Follow Ben on X: https://x.com/bhorowitzFollow Balaji on X: https://x.com/balajisListen to more from The Network State: https://ns.com/podcast Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenberg](https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures.    Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this powerful episode of the Stuck In My Mind Podcast, host Wize El Jefe welcomes visionary entrepreneur Greg Selkoe, best known for founding the influential streetwear brand Karma Loop, leading the esports powerhouse Faze Clan, and now steering the cutting-edge gaming lifestyle brand XSET as CEO and co-founder. This honest, inspiring conversation is a masterclass for creators, culture builders, and anyone pursuing a dream against the odds. From the jump, Wize El Jefe sets the stage, giving listeners a glimpse into Greg Selkoe's cultural impact—from collaborations with icons like Lil Wayne, Osuna, and Pharrell's camp, to partnerships with brands like the Boston Red Sox and HyperX. But as the episode unfolds, it's clear this story goes much deeper than flashy names and million-dollar deals—it's about authentic passion, grit, resilience, and growth. The Roots of Culture Building The episode kicks off as Greg Selkoe traces his journey from Boston's vibrant street culture to global entrepreneurship. He reveals how an early obsession with breakdancing, graffiti art, skateboarding, punk rock, and hip hop influenced his worldview. Rather than seeing these movements as separate lanes, he felt at home in all of them—setting the stage for Karma Loop, which wasn't just about selling clothes, but celebrating the energy and diversity of urban culture. Greg Selkoe describes how this merged into his approach at XSET, aiming to build “a media company” that puts culture first, amplifies creators, and tells compelling brand stories. Resilience Through Setbacks One of the episode's major themes is resilience. Both Greg Selkoe and Wize El Jefe reflect on their entrepreneurial journeys, emphasizing that setbacks and failures are inevitable. Greg Selkoe shares candidly about Karma Loop's highs and lows—from its $150 million peak to private equity challenges that forced him to rebuild from scratch. He offers hard-earned lessons: “Don't think someone's going to come along and save you if you're having trouble in your business, you got to rely on yourself.” The best way not to fail? Keep going. Wize El Jefe reciprocates, sharing his own risk-taking path in podcasting, internet radio, and launching a media company. The key takeaway is treating each setback as a learning experience—a stepping stone rather than an endpoint. Business Lessons That Transcend Formal Education Unlike many entrepreneurs, Greg Selkoe didn't start with a business degree—he studied urban planning at Harvard, inspired by his mother's work. But he credits this background for shaping his community-first approach. “Passion for what I was doing came from another part of me than what normally would be... I think that authenticity came through everything we did.” Rather than targeting a market, he built organically around what he loved—and learned the other business skills on the job and through mentorship. This authenticity, he believes, gave his brands a unique edge and fostered community. Building XSET and Shifting Strategies When it came to launching XSET, Greg Selkoe and team faced fresh challenges: securing investment, building a fanbase, and educating skeptical investors about the true scale of gaming and streaming culture. Greg Selkoe recognized a major opportunity—gaming needed a lifestyle brand that felt as dynamic as Overtime, Complex, or Barstool. The vision from day one: XSET would be a lifestyle media company at the crossroads of gaming, music, fashion, entertainment, and traditional sports. However, this path wasn't linear. Initially, XSET tried to replicate Karma Loop's retail-first model, but the lack of an established fanbase made traction difficult. After two years, they made a pivotal shift—refocusing on media, content, and creator empowerment. This willingness to pivot, rather than stubbornly sticking to a plan, is a recurring lesson for entrepreneurs highlighted in the episode. Collaboration, Community, and Advice for Creators Both host and guest agree: entrepreneurship is not a solo sport. Greg Selkoe stresses the importance of asking for help, seeking mentorship, and learning from those who have traveled similar paths: “If you don't know something... that's power to say you don't know it.” He shares stories of leaning on collaborators and mentors—even in public adversity—while cautioning against burning bridges or stepping on others to succeed. Public Challenges, Private Pain, and the Power of Community The episode delves into the emotional toll of public failure. Greg Selkoe recounts the fallout from Karma Loop's bankruptcy, facing media scrutiny and industry criticism. Yet, a pivotal moment at a high-powered Silicon Valley barbecue hosted by Steve Stout and Ben Horowitz transformed his outlook. Instead of derision, he found encouragement and solidarity from fellow entrepreneurs—reminding him that to build is to stumble, but also to rise again. This network of support propelled him towards new ventures, from consulting gigs with Pharrell and streetwear legend Jeff Staple to co-founding XSET. He credits his collaborative, generous approach for attracting support in hard times, when more ruthless operators might find themselves isolated. Mental Health, Health Scares, and Resilience No journey is without personal cost. Greg Selkoe opens up about dealing with serious health issues—a genetic autoimmune condition affecting his heart, kidneys, and lungs—during a stressful business period. While stress didn't cause the problem, it certainly didn't help, underscoring the importance of self-care and resilience. Ultimately, he recovered and continued building, demonstrating that recovery—like business—requires persistence. Championing Female Gamers: The Queen's Gaming Collective A highlight of the discussion is XSET's acquisition of Queens Gaming Collective—a female-empowerment initiative in the gaming space. Greg Selkoe breaks down the significance: with 45% of gamers being female, the mainstream still overlooks their influence. By integrating Queens into XSET, they've built a more inclusive brand, landed major deals (like with Samsung), and shown that gaming culture is far broader than stereotypes suggest. The conversation paints a vision of gaming culture that's welcoming, intergenerational, and intersectional. What Does the Next Gen Media Company Look Like? As XSET grows, the company is evolving into a “next gen media studio.” Greg Selkoe explains that they now co-own YouTube deals with creators, market talent, and focus heavily on original content—streaming, recorded, and branded collaborations. Their difference? They don't operate as an agency, but as true partners—bringing creators and brands into culture-focused campaigns that move audiences and foster community. He notes that platforms like YouTube are the new TV, dominating content consumption and discovery. The Power of Unfiltered, Authentic Creation Wize El Jefe and Greg Selkoe agree: today's audiences crave authenticity. The democratization of media—through podcasting, YouTube, Twitch—enables creators to bypass gatekeepers and build direct relationships. Both reflect on their own pivots: adding video to podcasting, discovering new opportunities, and reaching audiences in meaningful ways. In a media landscape full of “agendas,” the episode champions authenticity, encouragement, and diversity. Actionable Advice for Creators and Entrepreneurs The episode closes with practical wisdom. For young creatives or those feeling stuck: Media and social media are essential for telling your story and promoting your product. Find a reason for your brand to exist—don't just copy what's out there. Expect the journey to be long and hard, not an overnight success. Seek mentorship from experienced people in your field. Write down your goals, risks, and rewards—plan, but be ready to adapt. Don't be afraid to seek help, admit what you don't know, or pivot. As Greg Selkoe puts it, most businesses fail—but resilience, authenticity, and collaboration are the keys to enduring and thriving. — In Summary This episode of Stuck In My Mind Podcast is far more than an entrepreneurial profile—it's a deep exploration of culture, community, failure, growth, and the evolving media landscape. Listeners will come away with a sense of what it truly takes to build something meaningful in today's world: honesty, resilience, a willingness to adapt, and a commitment to authentic culture. Whether you're launching a brand, leveling up your content, or simply seeking inspiration, this conversation delivers actionable insights, relatable stories, and a call to stay connected, creative, and true to yourself. Make sure to follow XSET on all major platforms, connect with Greg Selkoe, and keep tuning in to Wize El Jefe for conversations that are shaping the next generation of culture.

a16z cofounders Marc Andreessen and Ben Horowitz join a16z general partner Erik Torenberg and Not Boring founder Packy McCormick for a conversation on how the media and information ecosystem has changed over the past decade. The discussion breaks down the shift toward a more open and decentralized speech environment, the rise of writer- and creator-led platforms like Substack, and the erosion of centralized media gatekeepers. Marc and Ben also tie these dynamics to their investing worldview, outlining how supply-driven markets, major technological step changes, and reputation-driven venture platforms shape outcomes in the AI era.Timecodes: 00:00  Introduction00:46  How the media ecosystem is changing4:20  Why a16z invested in Substack6:28  Supply-driven markets and new content creation8:07  Why writers felt trapped by media companies10:09  Databricks and the 10x cloud multiplier13:58  Long-form podcasting proves demand15:40  What the new fund signals about the future16:24  AI as a universal problem solver18:49  Why market sizing is broken20:45  Go-to-market, policy, and platform power22:37  Turning inventors into confident CEOs25:58  Borrowing power to scale faster27:29  Building dreamers, not killing dreams30:46  Reputation as a core competitive advantage35:57  Taking arrows in public38:56  Avoiding big company failure modes40:39  Autonomous teams inside a16z41:54  Venture capital as the last job46:01  Why intangibles matter more than ever48:17  Original thinkers with charisma50:06  Why Zoomers are differentResources: https://www.notboring.co/p/a16z-the-power-brokershttps://www.a16z.news/p/firm-fundFollow Marc Andreessen on X: https://twitter.com/pmarcaFollow Ben Horowitz on X: https://twitter.com/bhorowitzFollow Erik Torenberg on X: https://twitter.com/eriktorenbergFollow Packy McCormick on X: https://twitter.com/packyM Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://twitter.com/eriktorenberg](https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.  Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Ben Horowitz: Quit being a coward and do the hard thinghttps://youtu.be/XSUIFA3j2VoThe Hard Thing About Hard Thingshttps://amzn.to/456nM50If everyone on your team agrees with your decisions, you are irrelevant as a leader. In this episode, I'm auditing my biggest lessons from 2025 and diving into a hard truth: real leadership isn't about consensus; it's about having the courage to make unpopular calls.I discuss Ben Horowitz's concept of "Management Debt"—the compounding interest we pay when we avoid hard conversations, difficult firings, or killing passion projects—and why sprinting toward these uncomfortable moments is the only way to avoid organizational stagnation. Tune in to find out why your actual job description is doing the things no one else wants to do.//Welcome to Repeatable Revenue, hosted by strategic growth advisor , Ray J. Green.About Ray:→ Former Managing Director of National Small & Midsize Business at the U.S. Chamber of Commerce, where he doubled revenue per sale in fundraising, led the first increase in SMB membership, co-built a national Mid-Market sales channel, and more.→ Former CEO operator for several investor groups where he led turnarounds of recently acquired small businesses.→ Current founder of MSP Sales Partners, where we currently help IT companies scale sales: www.MSPSalesPartners.com→ Current Sales & Sales Management Expert in Residence at the world's largest IT business mastermind.→ Current Managing Partner of Repeatable Revenue Ventures, where we scale B2B companies we have equity in: www.RayJGreen.com//Follow Ray on:YouTube | LinkedIn | Facebook | Twitter | Instagram

AI is changing how companies are built and how venture firms operate, forcing faster decisions, clearer judgment, and new ways of working.In this exclusive conversation, Ben Horowitz shares how Andreessen Horowitz adapts to that shift. He explains why managing GPs is different from running a company, how investors are evaluated at the moment of decision rather than years later, and why verticalized teams help the firm scale without internal politics.Ben also breaks down the current AI cycle, from treating AI as a new computing platform to why application design and model orchestration matter more than raw model size. He discusses the return of M&A and why today's AI market reflects real demand, not just inflated valuations. Resources:Follow Ben on X: https://twitter.com/bhorowitzFollow Jen on X: https://twitter.com/jkhamehl  Read Justine's piece ‘There is No God Tier Video Model': https://a16z.com/there-is-no-god-tier-video-model-but-there-is-something-better/ Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X :https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Following the announcement of a16z's new fund, Andreessen Horowitz cofounder and general partner Ben Horowitz joined TBPN to discuss how Andreessen Horowitz has evolved its firm structure as technology becomes embedded across every sector of the economy. Ben reflects on which lessons from The Hard Thing About Hard Things still apply to founders, why entrepreneurship remains difficult at any scale, and how long-term partnerships shape decision-making inside the firm. He explains the move toward specialized, independent investment teams, how a16z evaluates new markets, and why AI represents a generational technology shift that changes how companies are built and how investors operate. The conversation also lessons from prior technology cycles and bubbles, the role of public policy in sustaining innovation ecosystems, and how founders can navigate modern media attention and public discourse while building durable, long-term companies. Resources:Follow Ben Horowitz on X: https://twitter.com/bhorowitzFollow John Coogan on X: https://twitter.com/johncoogan Follow Jordi Hays on X: https://twitter.com/jordihays Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16z](https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenberg](https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures.  Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this feed drop from Uncapped, Jack Altman sits down with a16z co-founder Ben Horowitz to unpack the founding bet behind Andreessen Horowitz. VC should be a better product for entrepreneurs, built on real operating experience, real networks, and real support.Ben shares how he and Marc Andreessen have worked together for 30 years, how they make decisions, and what it takes to scale a venture firm without losing the edge that actually helps founders. They also dig into why boards matter, how platform teams can change what partners do day-to-day, and the difference between “heat-seeking” investing and conviction-driven company building, especially in sectors like AI and crypto.Timecodes:00:00 Introduction 01:05 Ben Horowitz & Marc Andreessen's Partnership  04:05 Building & Leading a16z  07:16 Managing High-Powered VCs  11:01 Boards, Governance & Founder Support  15:36 Platform Services & Recruiting  17:43 Scale vs. Concentration in Venture  20:57 Why Venture Can Scale  24:27 Platform Services: What Works and What Doesn't  27:50 The Real Value of Board Membership  35:38 Media, Brand & Marketing Evolution  41:32 The Future of Media & Journalism  45:30 Limits on Venture Firm Size  49:13 Winning vs. Picking Deals  53:16 The Case Against Venture Scale  55:49 Hiring Operators & Rethinking the VC ProductResources:Follow Ben on X: https://twitter.com/bhorowitzFollow Jack on X: https://twitter.com/jaltmaWatch more from Uncapped: https://www.altcap.com/ Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this exclusive conversation from a16z's Bio and Health BUILD Summit, founding partner Ben Horowitz sits down with general partner Jorge Conde. Originally released in August 2023, the episode covers everything from the inspiration behind Ben's book The Hard Thing About Hard Things and how the open internet was secured, to the difference between wartime and peacetime CEOs, what it really means to scale culture, and how bio and healthcare innovation differs from other forms of technology.Ben's Book: https://www.amazon.com/Hard-Thing-About-Things-Building/dp/0062273205 Resources:Follow Ben on Twitter: https://x.com/bhorowitzFollow Jorge on Twitter: https://x.com/jorgecondebio Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Originally aired in October 2023, this episode centers on Marc Andreessen's essay The Techno-Optimist Manifesto, which lays out his vision for the future of technology. The piece sparked widespread discussion across traditional and social media by challenging the prevailing pessimistic narrative around technology and arguing instead that it can be a force for growth, progress, and abundance.In this one-on-one conversation, based on listener questions from X (formerly Twitter), a16z cofounder Ben Horowitz and Marc discuss how technological advances can improve quality of life, support marginalized communities, and shape how we think about humanity's long-term future.Read the full manifesto: https://a16z.com/the-techno-optimist-manifesto/ Resources:Follow Marc Andreessen on X: https://x.com/pmarcaFollow Ben Horowitz on X: https://x.com/bhorowitz Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.     Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What if America tried to eliminate crime instead of just reacting to it? Not with slogans, but with staffing, technology, and strategy scaled to the problem. In this episode, Erik Torenberg speaks with Garrett Langley, founder and CEO of Flock Safety, and Ben Horowitz, cofounder of a16z, about what is happening in the cities that are trying. Flock now works with over 5,000 communities to detect crime, recover missing children, and close cases faster than ever. Ben has been closely involved in Las Vegas, where Flock technology, drones, and community policing have raised clearance rates while reducing use of force. They outline what a real national crime-reduction strategy could look like: solving the police staffing crisis, using intelligence to make policing safer, understanding why clearance rates have collapsed, and how public–private partnerships are filling gaps cities cannot. They also tackle the hard questions around privacy, criminal justice failures, and the hidden role of organized crime in everyday offenses. Timecodes: 0:00 — Introduction and the Cost of Crime1:09 — Technology, Privacy, and Trust in Policing1:22 — Eliminating Crime: A National Strategy2:54 — People: Staffing, Culture, and Recruitment8:45 — Products: Technology in Modern Policing9:41 — Policy: Accountability and Prosecution20:11 — Community Policing and Clearance Rates25:16 — Case Study: Las Vegas and Public-Private Partnerships32:00 — Criticisms, Privacy, and Trust35:23 — Economic Mobility, Safety, and Social Impact36:44 — Reform, Recidivism, and Alternative Approaches52:14 — Organized Crime and Policy Challenges54:32 — The Future of Policing: Intelligence and Precision57:24 — Success Stories and ConclusionResources: Follow Garrett on X: https://twitter.com/glangley Follow Ben on X: https://twitter.com/bhorowitz Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends! Find a16z on X: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX Listen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 Follow our host: https://x.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details, please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

《成為頂尖產品人》學習矽谷產品DfX工作流，打造低風險、高勝率產品，成為外商搶著要的人才！

A16Z co-founder Ben Horowitz joins Shaan Puri and Sam Parr on My First Million to talk about how to be a great leader. Resources:Follow Ben on X: https://x.com/bhorowitzFollow Shaan on X: https://x.com/ShaanVPFollow Sam on X: https://x.com/thesamparr Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Steal Sam's playbook to turn ChatGPT into your Executive Coach: https://clickhubspot.com/ohv Episode 770: Sam Parr ( ⁠https://x.com/theSamParr⁠ ) and Shaan Puri ( ⁠https://x.com/ShaanVP⁠ ) talk to Ben Horowitz ( https://x.com/bhorowitz ) about the Tupac murder, how to be a great leader, and the best opportunities for young people.  — Show Notes: (0:00) Intro (5:36) Why most leadership books don't work (9:25) What to do when your CTO is an asshole (17:54) What makes Zuck a great CEO (27:09) #1 reason why founders fail as CEOs (33:10) Startups solving America's problems (39:19) Opportunities for young people (44:25) Culture rules with shock value (55:25) Jeff Bezos' new startup (57:00) Ben's uncommon traits (1:00:13) Wisdom accelerators (1:03:24) Paid in Full — Links: • High Output Management - https://tinyurl.com/yejpnfs8  • The Motive - https://tinyurl.com/2ba2p52m  • a16z - https://a16z.com/  • KoBold Metals - https://koboldmetals.com/  • Flock Safety - https://www.flocksafety.com/  • Paid In Full - https://paidinfullfoundation.org/  — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano //

Ben Horowitz reveals why the US already lost the AI culture war to China—and it wasn't the technology that failed. While Biden's team played Manhattan Project with closed models, Chinese developers quietly captured the open-source heartbeat of global AI through DeepSeek, now running inside every major US company and university lab. The kicker: Google and OpenAI employ so many Chinese nationals that keeping secrets was always a delusion, but the policy locked American innovation behind walls while handing cultural dominance to Beijing's weights—the encoded values that will shape how billions of devices interpret everything from Tiananmen Square to free speech. Resources:Follow Ben Horowitz on X: https://x.com/bhorowitzFollow Costis Maglaras on X: https://x.com/Columbia_Biz Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Marc Andreessen and Ben Horowitz sit down with Margit Wennmachers—the woman who turned two unknown entrepreneurs with $300 million and zero investing track record into the most talked-about firm in venture capital. She unpacks how they weaponized transparency in an industry built on secrecy, why Fortune's cover story triggered a cartel meltdown, and the exact moment a casual lunch conversation became "Software Is Eating the World." This is the origin story of how A16Z broke every unwritten rule, made enemies of every top-tier firm, and permanently rewired what it means to build companies in public. Resources:Follow Marc on X: https://x.com/pmarcaFollow Ben on X: https://x.com/bhorowitzFollow Margit on X: https://x.com/wennmachersFollow Erik on X: https://x.com/eriktorenberg Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Get the free guide on 5 Ways to Start a Business with Less Than $1k: https://clickhubspot.com/icv Episode 767: Sam Parr ( ⁠https://x.com/theSamParr⁠ ) and Shaan Puri ( ⁠https://x.com/ShaanVP⁠ ) react to Bill Ackman's dating advice for young men. Plus, the 20-something kid who's making $300K/month doing man-on-the-street interviews. — Show Notes: (0:00) May I meet you? (10:52) $300K/mo Street interviews as a service (17:14) Taking a stance (25:53) The crazy story of Pandora (30:43) Taking simple ideas seriously (37:31) Ben Horowitz, a great hang (45:49) Noticing the AI tipping point — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano //

Palmer Luckey got fired from Meta for backing the wrong candidate—now he's the hero saving American defense, and that shift tells you everything about how fast the ground moved beneath Silicon Valley's feet. For decades, tech and defense were allies, then came 15 years of hostility so visceral that Google employees revolted over a Pentagon AI contract, and when leadership caved, only three people showed up to hear what border security actually involves. But something broke: COVID exposed our inability to make things, Ukraine revealed wars now iterate in days not decades, and suddenly the Harvard dorm room generation realized the people building satellites and drones weren't just necessary—they were the future, while legacy defense contractors still operate on Soviet-style five-year plans that guarantee cost overruns and obsolescence. Now the question isn't whether Silicon Valley returns to its Cold War roots, but whether America wins by becoming more like China's centralized system or doubles down on the chaotic creativity that built nine of the world's ten most valuable companies in 25 years—and the founders flooding into defense, energy, mining, and manufacturing suggest the second American century is just getting started.Resources:Follow Ben on X: https://x.com/bhorowitzFollow Marc on X: https://x.com/pmarcaFollow Katherine on X: https://x.com/KTmBoyleFollow David on X: https://x.com/daviduFollow Erik on X: https://x.com/eriktorenbergStay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.  Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Priscilla Chan and Mark Zuckerberg join a16z's Ben Horowitz, Erik Torenberg, and Vineeta Agarwala to share how the Chan Zuckerberg Initiative is building the computational tools that will accelerate the cure, prevention, and management of all disease by century's end. They explain why basic science needs $100 million-scale projects that traditional NIH grants can't fund, how their Cell Atlas became biology's missing periodic table with millions of cells catalogued in open-source format, and why their new virtual cell models will let scientists test high-risk hypotheses in silico before investing in expensive wet lab work. Plus: the organizational shift unifying the Biohub under AI leadership, what happens when biologists and engineers sit side-by-side, and why modern biology labs are expanding compute instead of square footage. Timestamps:4:17 - Building tools to accelerate scientific discovery5:47 - The credible path to funding basic science7:21 - Biohub = Frontier Biology + Frontier AI9:05 - Challenges building on a 10-15 year timeline9:43 - How CZI chooses what to work on11:15 - Making sense of science with LLMs11:31 - Measuring success in the therapeutic realm13:32 - “Most diseases should be thought of as rare diseases”15:39 - Inspiration: building a periodic table for biology19:27 - Why virtual cells?21:17 - The Biohub Master Plan21:51 - How virtual cell models allow more risk taking28:15 - Bringing CZI & Biohub together30:32 - Why Biohub matters33:36 - The importance of interface design in democratizing scientific discovery35:34 - How Biohub encourages cross-functional collaboration40:38 - Looking ahead: the broader impact of AI on biotech Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, the host interviews Kelcey Lehrich, founder of 365 Holdings and co-founder of the HoldCo Conference. Kelcey shares her journey from traditional business to e-commerce, the growth of 365 Holdings, and the challenges of acquiring and integrating multiple brands. He discusses the purpose of the Holdco Conference for multi-business entrepreneurs, strategies for stable acquisitions, and the realities of shared services. The episode offers practical advice on self-awareness, focusing on key business levers, and learning from experience in scaling and managing holding companies.Chapters:Introduction to Kelcey Lehrich and Holdco Conference (00:00:00)Kelsey introduces himself and explains the origin and purpose of the Holdco Conference for multi-business entrepreneurs.Kelcey's Journey into E-commerce and 365 Holdings (00:02:22)Kelcey shares how he and his partner entered e-commerce, acquired their first businesses, and built 365 Holdings.365 Holdings' Structure and Focus (00:03:30)Discussion of 365 Holdings' current scale, vertical integration, and future focus on food, baby, and consumable brands.Growth Strategies: Product Launches and Acquisitions (00:04:28)Comparison of launching new products versus acquiring businesses, and the importance of consistent experimentation.What to Avoid When Acquiring Businesses (00:05:52)Kelcey outlines lessons learned and what to avoid when evaluating acquisition opportunities.365 Holdings' Core Strengths and Incremental Improvements (00:07:04)Exploration of the company's strengths, vertical integration, and focus on small, compounding operational improvements.The Reality of Shared Services in a Holdco (00:09:54)Kelcey discusses the challenges and realities of sharing services across multiple brands in a holding company.Three Actionable Takeaways for Entrepreneurs (00:11:44)Host summarizes three key lessons: self-awareness, vision and action, and learning through experience in M&A.Kelcey's Book Recommendation (00:14:03)Kelcey recommends "The Hard Thing About Hard Things" by Ben Horowitz for entrepreneurs managing growing teams.Favorite Productivity Tool (00:14:40)Kelcey shares Superhuman as his favorite email productivity tool.Influential Figures in E-commerce (00:15:25)Kelcey discusses the many people who have influenced him, mentioning Gary Vee, Roland Frazier, and others.How to Connect with Kelcey and Learn More (00:16:59)Kelcey provides ways to connect with him and learn more about Holdco Conference and 365 Holdings.Links and Mentions:Tools and ResourcesSuperhumanWebsitesHoldco Conference365 HoldingsBooksThe Hard Thing About Hard Things by Ben Horowitz on AmazonInfluential FiguresGary Vaynerchuk (Gary Vee)Roland FrasierTranscript:Josh 00:00:00  Today I'm super excited to introduce you to Kelcey Lehrich. Welcome to the podcast, Kelcey.Kelcey 00:00:05  Thank you for having me. Great to be here.Josh 00:00:06  Kelcey I attended Holdco conference. You did a fantastic job. That was your first ever Holdco conference. Tell our guests a little bit more about this Holdco conference, because I think it's really unique. And you're kind of one of the first to kind of come up with this type of holding company conference.Kelcey 00:00:24  Yeah. So I appreciate your kind words and glad you could come. And we'll see you there next year. date's coming soon. so I have a friend in town named John Wilson. you can find him on the internet. He's pretty public. he and I met, and we both have, 50 to 100 employees, multiple tens of millions of revenue, and we have multiple businesses. And we knew a few other people that had similar circumstances. And there really was no event, no conference, no, kind of home base or hangout place for people like us.Kelcey 00:00:56  And one day I'm like, hey, like, why don't we go ahead and we'll host the party. and so John and I partnered on that project, and, from January, when it was kind of hatched with the tweet to July, it was a bit of a wild ride, but it was a lot of fun. We're really proud of the first year. And, yeah, it's meant to be the place that multi business entrepreneurs called the holding company, meet, learn, scale and grow. But the kind of niche there is that if you're in software and you're venture backed, there's a conference for you. If you are in real estate, there's a conference for you. If you are in insert any industry, sales, metal stamping, mobile home parks, whatever it is, there's a conference for you. If you're a Holdco entrepreneur, there really wasn't a place to call your own. And our vision for Holdco is to be kind of that home base for people like us.Josh 00:01:43  Yeah, I love that.Josh 00:01:44  I love what you guys have started there. And I think we'll dive into that a little bit in more detail later in this podcast. But Kelcey, you've got a vast experience in e-commerce. Obviously you have a holding company that has multiple brands. You've acquired multiple e-commerce brands, you've grown them, you've scaled them. So you have a wealth of knowledge. And for our listeners that have established businesses, they're looking to take things to the next level. I think they're going to be able to learn a lot from you. So why don't we rewind the tapes a little bit? Kelcey? And why don't you tell us a little bit about how you got into the e-commerce world to begin with, and then what led to the formation of 365 holdings?Kelcey 00:02:22  So six years ago, my partner and I, his name is Justin. I'm kind of the ideas guy, and he's kind of the executor. She's familiar with iOS. I've got the kind of visionary CEO role and he's kind of the integrator or CFO, and he and I have worked there for a long time.Kelcey 00:02:37  And prior to e-commerce, it was kind of like, the same idea. However, instead of ideas and strategy and like execution, it was like I was the sales guy and he was like the ops guy and all of our prior businesses, but we weren't online. We've never, never run ads, never shipped products. But we had sold a business for just enough money to make a down payment on an SBA loan. We had sold a business for $100,000, which was a lot of money. We did not hold any of it aside for taxes. We put all 100 grand down on the $900,000 loan to buy the million dollar first business. That was how we got started. 60 days later, we drained the checking account and maxed out the line of credit and bought another one. And thus begins the compounding. So, Yeah, six years ago. by by two that that, spring and summer, we had always had a vision of back to the old topic, wanting to run many businesses. We wanted to have diversity.Kelcey 00:03:30  I guess that's like, hey, what if you focused? What if you just did one thing? Could it be bigger? And my answer is like, I don't know, probably. But this is the business I want to have. I want to do many things. one of the things financially from a diversification perspective. two, I think it's fun. It's like what I want. So like, yes, this is what I'm doing. I'm sure it's like slightly less optimal than, I don't know. but six years have elapsed and today we've got 80 some employees. Six brands. we're in Akron, Ohio, and heavily vertically integrated. So we do in-house customer service, in-house ...

In episode 1959, Jack and Miles are joined by comedian, Blake Wexler, to discuss… Hellhole Cities Suffering From Precipitous DROP IN CRIME YOU F**KWITS, Coke Is Using AI To Ruin Christmas Yet Again, Cybertruck Cop Cars Are Here and more! Coke Is Using AI To Ruin Christmas Yet Again Coca-Cola Reimagined Its Iconic 1995 Christmas Ad With AI And The Internet Is Outraged: ‘Actual Abomination’ Coca-Cola Doubles Down on AI Holiday Ads Despite Backlash Coca-Cola Is Trying Another AI Holiday Ad. Executives Say This Time Is Different Coca-Cola’s new AI holiday ad is a sloppy eyesore Coca-Cola | Holidays Are Coming The company says they used even fewer people to make it — “We need to keep moving forward and pushing the envelope… The genie is out of the bottle, and you’re not going to put it back in” Cybertruck Cop Cars Are Here A California police department spent $153,000 on a Cybertruck for school anti-drug events A police dept. bought a $153K Cybertruck. It won’t be used for patrols. Tesla Cybertruck Police Cars Are Here, And Of Course They're Going To Vegas First How a Silicon Valley billionaire’s gift brought Cybertruck police vehicles to Las Vegas A Tesla Cybertruck driver tried to find out just how bulletproof it is WATCH LIVE! Elon Musk presents the new Tesla Cybertruck Launch Tesla Cybertruck Isn’t Nearly as Bulletproof as Elon Musk Wants You to Think Is your car spying on you? Tesla data helped police after Las Vegas truck explosion, but experts have privacy concerns Metro’s ‘mystery’ Cybertruck donor revealed Ben Horowitz donates Cybertruck fleet to the Las Vegas police Ben Horowitz’s cozy relationship with the Las Vegas Police Department aided a16z portfolio company Skydio The Police Have A Dark Money Slush Fund LISTEN: SUNSHINE BRIGHT ON ME(CUB) by KANGAROOSee omnystudio.com/listener for privacy information.

In this closing keynote from a16z's Runtime conference, General Partner Erik Torenberg speaks with our firm's cofounders, Marc Andreessen and Ben Horowitz on highlights from throughout the conference, the current state of LLM capabilities, and why despite huge capex, AI is not a bubble. Resources:Follow Marc on X: https://x.com/pmarcaFollow Ben on X: https://x.com/bhorowitz Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

From Netscape to VMware, Raghu Raghuram has been at the center of nearly every major inflection point in enterprise technology.In this episode, Raghu joins Ben Horowitz, Martin Casado and David George to reflect on the early internet wars with Microsoft, how Netscape's browser battles shaped a generation of founders, and the inside story of one of the most successful tech acquisitions in history, VMware's $1.3B purchase of Nicira, which redefined modern networking and grew into a multi-billion-dollar business.They discuss how VMware scaled from tens of millions to over $13 billion in revenue, what it took to outlast the cloud revolution, and why AI is now triggering the biggest infrastructure reset since virtualization. Raghu shares his vision for the next decade — from data-center robotics and energy-aware compute to how AI is reshaping both startups and giants alike. Resources:Follow Raghu on X: https://x.com/RaghuRaghuramFollow Ben on X: https://x.com/bhorowitzFollow Martin on X: https://x.com/martin_casadoFollow David on X: https://x.com/DavidGeorge83 Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Alex Bouaziz is the Co-Founder and CEO @ Deel, the $17BN global payroll juggernaut that just last week announced their latest $300M fundraise led by Ribbit, a16z and Coatue. Deel has been on the most insane journey, they do $1BN+ in ARR, they just had their first $100M revenue month and they have been profitable for over 3 years.  AGENDA: 03:38 Announcing $300M Fundraise at a $17BN Valuation 06:24 Rippling vs Deel: WTF is Going On? Where is the Lawsuit?  14:01 Why 1-1s Are BS and Leaders Should Stop Doing Them 17:31 Do Rich Leaders Make Better Leaders 28:33 Biggest Lesson from Ben Horowitz? Why Most CMOs Are Bad? 34:48 Lessons from Nik @ Revolut and Why Companies Need to Make Their Own Software 42:23 Deel's Acquisition Playbook: Lessons from 13 Acquisitions 45:17 How to Price Acquisitions? How to Align Incentives with Founders? 55:45 Deel is Profitable and Growing Fast: When is the IPO? 01:01:35 Best Acquisition Ever + Worst Ever: What Did We Learn?  

Ben Horowitz founded Loudcloud in the middle of the dot-com bust and sold it for $1.6 billion, then led Andreessen Horowitz from its founding to $46 billion in committed capital. Ali Ghodsi co-founded Databricks, stepped in as CEO during a crisis, and led it to a valuation of over $100 billion.In this episode of “Boss Talk”, Ben and Ali join a16z General Partners Sarah Wang and Erik Torenberg to share founder war stories, how to hire and make deals, how to keep culture intense without burning employees out, and why founders should raise their ambitions even higher. ResourcesFollow Ali on X: https://x.com/alighodsiLearn more about Databricks: https://www.databricks.com/Follow Ben on X: https://x.com/bhorowitzFollow Sarah on X: https://x.com/sarahdingwangFollow Erik on X: https://x.com/eriktorenberg Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Resources:Find a16z on X: https://x.com/a16zSubscribe to a16z on Substack: https://a16z.substack.com/Find a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenberg Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Ben Horowitz is the co-founder of Andreessen Horowitz, Silicon Valley's largest and most influential venture capital firm, with over $46B in committed capital across multiple funds. He took Loudcloud public with just $2 million in revenue (dubbed “the IPO from hell”), sold it for $1.6 billion, and has backed companies from Facebook to Stripe to Airbnb to OpenAI to Databricks (now worth more than $100 billion). His management philosophy—forged through near-death experiences and refined through coaching hundreds of CEOs—contradicts most conventional startup wisdom.In our conversation, Ben shares:1. Why “founder mode” is half right and half dangerously wrong2. The story behind “Good Product Manager/Bad Product Manager” and why it went viral despite being written in anger3. Where the biggest AI startup opportunities remain4. Why you need to run toward fear, never away5. The one trait that predicts that a founder will fail as CEO6. Inside Paid in Full, Ben's nonprofit awarding pensions to pioneering hip-hop artists—Brought to you by:DX—The developer intelligence platform designed by leading researchers: http://getdx.com/lennyBasecamp—The famously straightforward project management system from 37signals: https://www.basecamp.com/lennyMiro—A collaborative visual platform where your best work comes to life: https://miro.com/lenny—Transcript: https://www.lennysnewsletter.com/p/46b-of-hard-truths-from-ben-horowitz—My biggest takeaways (for paid newsletter subscribers): ⁠https://www.lennysnewsletter.com/i/172439345/my-biggest-takeaways-from-this-conversation—Where to find Ben Horowitz:• X: https://x.com/bhorowitz• LinkedIn: https://www.linkedin.com/in/behorowitz/• Website: https://benhorowitz.com/• Andreessen Horowitz's website: https://a16z.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Ben Horowitz(04:09) Important leadership lessons from Shaka Senghor(10:15) Running toward fear and why hesitation kills companies(19:35) Who shouldn't start a company(22:36) The Databricks story: thinking bigger(24:54) Managerial leverage and CEO psychology(28:06) When founders should be replaced as CEOs(31:20) Normalizing failure for CEOs(37:57) Counterintuitive lessons about building companies(42:31) “Good Product Manager/Bad Product Manager”(48:21) Product managers as leaders(51:16) Why a16z invested in Adam Neumann after WeWork(56:23) Is AI in a bubble?(01:02:43) The biggest opportunities in AI(01:12:51) Why U.S. leadership in AI matters(01:18:53) The Paid in Full Foundation for hip-hop pioneers(01:23:18) Lightning round: book recommendations, products, and life mottos—References: https://www.lennysnewsletter.com/p/46b-of-hard-truths-from-ben-horowitz—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

In this episode, Rach delves into the significance of putting in the time and energy to gain skills that lead to personal fulfillment. She introduces highly motivated guests such as Tim Grover, Jesse Itzler, Tom Bilyeu, Yvonne Orji, and Ben Horowitz.Original Air Date: October 12, 2023Get your copy of Rachel's New Book Here: Audible, Amazon, Barnes & Noble, Books-A-Millon, Bookshop.org, or wherever books are sold!00:23 Welcome and Podcast Subscription Request01:17 Unapologetic Motivation for High Achievers02:57 Belief in Yourself and Handling Criticism04:06 The Importance of Allies and Honest Feedback05:55 The Journey vs. Destination Debate09:36 Networking and Building Relationships16:32 Consistency and Planting Seeds for Success21:10 Implementing and Sticking to Values22:42 The Importance of Trust and Loyalty in Culture23:04 The Power of Stories in Shaping Culture26:46 Balancing Cultural Values: Empathy and Honor30:21 Starting a Comedy Career in New York33:11 The Struggles and Rewards of Running a Comedy Room35:12 The Reality of Pursuing Dreams and Financial Stability37:31 The Role of Growth Mindset in Achieving Success42:45 The True Meaning of Fulfillment and SuccessSign up for Rachel's weekly email: https://msrachelhollis.com/insider/Call the podcast hotline and leave a voicemail! Call (737) 400-4626Watch the podcast on YouTube: https://www.youtube.com/c/RachelHollisMotivation/videosFollow along on Instagram: https://www.instagram.com/MsRachelHollisTo learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices.