Podcasts

Christopher Mims and Tim Higgins of the Wall Street Journal sit down with a16z General Partner Martin Casado on WSJ’s Bold Names to ask whether the AI spending boom is a bubble waiting to burst. Martin explains why the fundamentals differ dramatically from the dot-com era—when WorldCom had $40 billion in debt versus today's tech giants with hundreds of billions on their balance sheets—and why a speculative valuation correction shouldn't be confused with systemic collapse. They also discuss where a16z sees opportunity in the "long tail" of AI companies beyond the state-of-the-art large language models. Follow Martin Casado on X: https://twitter.com/martin_casado Follow Christopher Mims on X: https://twitter.com/mims Follow Tim Higgins on X: https://twitter.com/timkhiggins Check out WSJ’s Bold Names: https://www.wsj.com/podcasts/wsj-the-future-of-everything Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a1

A Reddit-style web forum for A.I. agents has captured the attention of the tech world. According to the site, called Moltbook, more than 1.5 million agents have contributed to over 150,000 posts, making it the largest experiment to date of what happens when A.I. agents interact with each other. We discuss our favorite posts, how we’re thinking about the question of what is “real” on the site, and where we expect agents to go from here. Additional Reading: A Social Network for A.I. Bots Only. No Humans Allowed. Five Ways of Thinking About Moltbook We want to hear from you. Email us at [email protected]. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz

a16z general partner Erik Torenberg speaks with Justin Mares, founder and CEO of Truemed. They discuss why American health outcomes are so poor compared to the rest of the developed world, how crop subsidies created a food system that "systematically outputs unhealthy people," and what it would take to treat the chronic disease crisis as a national security issue. Mares explains how TrueMed allows people to spend tax-free HSA and FSA dollars on lifestyle interventions like gym memberships, sleep aids, and healthier food—and why he believes this could redirect hundreds of billions of dollars toward prevention. They also explore the case for psychedelics as mental health therapy and why peptides could disrupt the pharmaceutical industry. Resources: Follow Justin Mares on X: https://x.com/jwmares Follow TrueMed on X: https://x.com/truemed Timestamps: 00:00 — Introduction 0:44 — The Environment That Makes Us Sick 04:19 — What Went Wrong in the 1970s 6:10 — The Subsidy Problem 8:49 — Univer

Recorded live at our Founders Summit, a16z general partner Chris Dixon speaks with Palmer Luckey, founder of Anduril and Oculus VR. They talk about what it takes to build hardware at scale, where the biggest technological bottlenecks are today, and why optimism is still warranted despite geopolitical turmoil and regulatory constraints. They also cover crypto, stablecoins, modern warfare, the U.S.–China technology race, AI and manufacturing, and frontiers like fusion and quantum computing—plus lessons from Oculus, the founding of Anduril, and how to build mission-driven teams. Resources: Follow Palmer Luckey on X: https://twitter.com/PalmerLuckey Follow Chris Dixon on X: https://twitter.com/cdixon 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

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/DavidSolomon Follow Ben Horowitz on X: https://twitter.com/bhorowitz Follow David Haber on X: https://twitter.com/dhaber Timestamps: 00:00 — Introduction 02:09 — Goldman's Evolution from Partnership to Public Company 08:54 — How a16z Went from Top Tier to 18% of All US Venture Capital 15:33 — "As Sweet a Spot" as Solomon Has Seen in 40 Years 19:00 — M&A Outlook: "Whatever the Question Is, the Answer Is Maybe" 21:33 — Why Leads Aren't What They

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/DavidSolomon Follow Ben Horowitz on X: https://twitter.com/bhorowitz Follow David Haber on X: https://twitter.com/dhaber Timestamps: 00:00 — Introduction 02:09 — Goldman's Evolution from Partnership to Public Company 08:54 — How a16z Went from Top Tier to 18% of All US Venture Capital 15:33 — "As Sweet a Spot" as Solomon Has Seen in 40 Years 19:00 — M&A Outlook: "Whatever the Question Is, the Answer Is Maybe" 21:33 — Why Leads Aren't What They

Nathan Lambert and Sebastian Raschka are machine learning researchers, engineers, and educators. Nathan is the post-training lead at the Allen Institute for AI (Ai2) and the author of The RLHF Book. Sebastian Raschka is the author of Build a Large Language Model (From Scratch) and Build a Reasoning Model (From Scratch). https://lexfridman.com/sponsors/ep490-sc Transcript: https://lexfridman.com/ai-sota-2026-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact SPONSORS: Box: Intelligent content management platform. https://box.com/ai Quo: Phone system (calls, texts, contacts) for businesses. https://quo.com/lex UPLIFT Desk: Standing desks and office ergonomics. https://upliftdesk.com/lex Fin: AI agent for customer service. https://fin.ai/lex Shopify: Sell stuff onli

with ICE + Casey Tries Clawdbot, a Risky New A.I. Assistant + HatGPT

This week we’re talking about the tech industry’s response to the killings by federal agents in Minneapolis and the federal government’s strategy to control the narrative on social media. Then we follow Casey through his trial of a new open-source A.I. assistant called Moltbot (formerly Clawdbot) and consider whether it is worth the security risk. And, finally, it’s time for a look at the rest of the week’s tech news with a round of HatGPT. Additional Reading: False Posts and Altered Images Distort Views of Minnesota Shooting A Moment-by-Moment Look at the Shooting of Alex Pretti It’s a War: Inside ICE’s Media Machine Some Amazon Employees Get ‘Project Dawn’ Calendar Invitation Discussing Upcoming Job Cuts TikTok Data Center Outage Triggers Trust Crisis for New U.S. Owners Former FTX Crypto Executive Caroline Ellison Released From Federal Custody Anthropic C.E.O.’s Grave Warning: A.I. Will “Test Us as a Species” Inside the White House Screening for Amazon’s ‘Melania’ Doc App for Quitti

Netlify's CEO, Matt Biilmann, reveals a seismic shift nobody saw coming: 16,000 daily signups—five times last year's rate—and 96% aren't coming from AI coding tools. They're everyday people accidentally building React apps through ChatGPT, then discovering they need somewhere to deploy them. The addressable market for developer tools just exploded from 17 million JavaScript developers to 3 billion spreadsheet users, but only if your product speaks fluent AI—which is why Netlify's founder now submits pull requests he built entirely through prompting, never touching code himself, and why 25% of users immediately copy error messages to LLMs instead of debugging manually. The web isn't dying to agents; it's being reborn by them, with CEOs coding again and non-developers shipping production apps while the entire economics of software—from perpetual licenses to subscriptions to pure usage—gets rewritten in real-time. Resources: Follow Matt Biilmann on X: https://x.com/biilmann Follow Martin

Recently, Marc Andreessen joined Lenny Rachitsky on Lenny's Podcast. They talked about why 2025 may be the most significant year in tech history, how AI is reshaping the future of product managers, designers, and engineers, and what founders need to understand about building in this moment—from where moats actually exist in AI to what the most AI-native companies are doing differently to the skills Marc is teaching his own kids to thrive in what comes next. Resources: Follow Marc Andreessen on X: https://twitter.com/pmarca Follow Lenny Rachitsky on X: https://twitter.com/lennysan Check out Lenny’s Podcast: https://www.lennysnewsletter.com/podcast 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

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 gove

Out-of-Pocket is a healthcare education company founded by Nikhil Krishnan that helps people understand how healthcare works and how to navigate it in practice. In this episode, a16z investing partner Jay Rughani and Nikhil discuss why health insurance is losing its role as the default way people access care. They explain how rising costs are pushing more consumers to pay out of pocket for diagnostics, preventive care, and navigation. The conversation also looks at what this shift means for startups, AI-powered tools, regulation, and access as healthcare continues to move beyond insurance. Resources: Follow Jay Rughani on X: https://twitter.com/JayRughani Follow Nikhil Krishnan on X: https://twitter.com/nikillinit Read Out of Pocket’s 2026 Predictions: https://www.outofpocket.health/p/out-of-pockets-2026-predictions Stay Updated: Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Please note that the content here is for inf

In this episode, Jen Kha, Head of Investor Relations, and David George, General Partner, discuss how late-stage private markets are evolving as AI reshapes scale, capital intensity, and growth timelines. They explain why AI-driven companies are staying private longer, how infrastructure spending is changing return profiles, and what this moment means for durability, value creation, and long-term outcomes in private markets. Timecodes: 0:00 — Introduction 04:21 — The Market Opportunity for AI 26:48 — Pricing, Monetization, and Cash Burn 43:15 — Companies Staying Private Longer 51:30 — Portfolio Composition and Construction 57:18 — Team Culture and Collaboration Resources: Follow Jen Kha on X: https://x.com/jkhamehl Follow David George 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/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Podcast

Mintlify is a documentation platform built by cofounders Han Wang and Hahnbee Lee to help teams create and maintain developer docs. In this episode, Andreessen Horowitz general partners Jennifer Li and Yoko Li speak with Han and Hahnbee about how coding agents are changing what “good docs” mean, shifting documentation from a human-only resource into infrastructure that powers AI tools, support agents, and internal knowledge workflows. They share Mintlify’s early journey, including eight pivots, the two-day prototype that landed their first customer, and the “do things that don’t scale” sales motion that helped them win early traction. The conversation also covers why docs go out of date, what “self-healing” documentation requires to actually work, and how serving fast-moving customers has shaped both their product priorities and their pace. Follow Jennifer Li on X: https://twitter.com/JenniferHli Follow Yoko Li on X: https://twitter.com/stuffyokodraws Follow Han Wang on X: https://twit

Ads are coming to ChatGPT’s free and low-cost subscription tiers. We explain what they’ll look like, why OpenAI is taking this approach and whether the company can court advertising dollars without compromising quality and user trust. Then, Amanda Askell, Anthropic’s in-house philosopher in charge of shaping Claude’s personality, joins us to discuss the company’s newly released “Claude Constitution” and what it takes to teach a chatbot to be good. As a bonus, if you’re interested in learning how to get started with Claude Code, you can check out our tutorial on YouTube. Guest: Amanda Askell, a member of Anthropic’s technical staff Additional Reading: OpenAI Starts Testing Ads in ChatGPT Claude’s Constitution Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.c

Inferact is a new AI infrastructure company founded by the creators and core maintainers of vLLM. Its mission is to build a universal, open-source inference layer that makes large AI models faster, cheaper, and more reliable to run across any hardware, model architecture, or deployment environment. Together, they broke down how modern AI models are actually run in production, why “inference” has quietly become one of the hardest problems in AI infrastructure, and how the open-source project vLLM emerged to solve it. The conversation also looked at why the vLLM team started Inferact and their vision for a universal inference layer that can run any model, on any chip, efficiently. Follow Matt Bornstein on X: https://twitter.com/BornsteinMatt Follow Simon Mo on X: https://twitter.com/simon_mo_ Follow Woosuk Kwon on X: https://twitter.com/woosuk_k Follow vLLM on X: https://twitter.com/vllm_project Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to th

In this feed drop from The Six Five Pod, a16z General Partner Martin Casado discusses how AI is changing infrastructure, software, and enterprise purchasing. He explains why current constraints are driven less by technical limits and more by regulation, particularly around power, data centers, and compute expansion. The episode also covers how AI is affecting software development, lowering the barrier to coding without eliminating the need for experienced engineers, and how agent-driven tools may shift infrastructure decision-making away from humans. Watch more from Six Five Media: https://www.youtube.com/@SixFiveMedia Resources: Follow Martin Casado on X: https://twitter.com/martin_casado Follow Patrick Moorhead on X: https://twitter.com/PatrickMoorhead Follow Daniel Newman on X: https://twitter.com/danielnewmanUV 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://w

with CTO Beyang Liu

Sourcegraph's CTO just revealed why 90% of his code now comes from agents—and why the Chinese models powering America's AI future should terrify Washington. While Silicon Valley obsesses over AGI apocalypse scenarios, Beyang Liu's team discovered something darker: every competitive open-source coding model they tested traces back to Chinese labs, and US companies have gone silent after releasing Llama 3. The regulatory fear that killed American open-source development isn't hypothetical anymore—it's already handed the infrastructure layer of the AI revolution to Beijing, one fine-tuned model at a time. Resources: Follow Beyang Liu on X: https://x.com/beyang Follow Martin Casado on X: https://x.com/martin_casado Follow Guido Appenzeller on X: https://x.com/appenz 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 Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Podcast on S

To Regulate AI Effectively, Focus on How It’s Used A conversation with Martin Casado on learning from past computing platform shifts, understanding marginal risk in AI, and why open source matters for US competitiveness. One of the core pillars of our roadmap for federal AI legislation makes clear AI should not excuse wrongdoing. When people or companies use AI to break the law, existing criminal, civil rights, consumer protection, and antitrust frameworks should still apply. Enforcement agencies should have the resources they need to enforce the law. If existing bodies of law fall short in accounting for certain AI use cases, any new laws should be evidence-based, clearly defining marginal risks and the optimal approach to target harms directly. In this conversation, we go deeper on what that principle means in practice with Martin Casado, general partner at a16z where he leads the firm’s infrastructure practice and invests in advanced AI systems and foundational compute. Martin has l

The a16z AI Apps team outlines how they are thinking about the AI application cycle and why they believe it represents the largest and fastest product shift in software to date. The conversation places AI in the context of prior platform waves, from PCs to cloud to mobile, and examines where adoption is already translating into real enterprise usage and revenue. They walk through three core investment themes: existing software categories becoming AI-native, new categories where software directly replaces labor, and applications built around proprietary data and closed-loop workflows. Using portfolio examples, the discussion shows how these models play out in practice and why defensibility, workflow ownership, and data moats matter more than novelty as AI applications scale. Resources: Follow Alex Rampell on X: https://twitter.com/arampell Follow Jen Kha on X: https://twitter.com/jkhamehl Follow David Haber on X: https://twitter.com/dhaber Follow Anish Acharya on X: https://twitter.com/