Fei-Fei Li is a Stanford professor, co-director of Stanford Institute for Human-Centered Artificial Intelligence, and co-founder of World Labs. She created ImageNet, the dataset that sparked the deep learning revolution. Justin Johnson is her former PhD student, ex-professor at Michigan, ex-Meta researcher, and now co-founder of World Labs. Together, they just launched Marble—the first model that generates explorable 3D worlds from text or images. In this episode Fei-Fei and Justin explore why spatial intelligence is fundamentally different from language, what's missing from current world models (hint: physics), and the architectural insight that transformers are actually set models, not sequence models.

Recently, a16z General Partner Anish Acharya joined Ollie Forsyth on NEW ECONOMIES. They talked about why consumer tech is surging again, how AI is enabling 100M-user products at unprecedented speed, and what founders need to understand heading into 2026 — from distribution shifts to founder mindset to the mechanics behind the fastest product cycle in tech history.

a16z General Partners David Haber, Alex Rampell, and Erik Torenberg discuss why 19 out of 20 AI startups building the same thing will die - and why the survivor might charge $20,000 for what used to cost $20. They expose the "janitorial services paradox" (why the most boring software is most defensible), explain why OpenAI won't compete with your orthodontic clinic software despite having 800 million weekly users, and reveal how non-lawyers are building the most successful legal AI companies. Plus: the brutal truth about why momentum isn't a moat, but without it, you're already dead.

A16Z co-founder Ben Horowitz joins Shaan Puri and Sam Parr on My First Million to talk about how to be a great leader.

Russ Fradin sold his first company for $300M. He’s back in the arena with Larridin, helping companies measure just how successful their AI actually is. In this episode, Russ sits down with a16z General Partner Alex Rampell to reveal why the measurement infrastructure that unlocked internet advertising's trillion-dollar boom is exactly what's missing from AI, why your most productive employees are hiding their AI usage from management, and the uncomfortable truth that companies desperately buying AI tools have no idea whether anyone's actually using them. The same playbook that built comScore into a billion-dollar measurement empire now determines which AI companies survive the coming shakeout.

In this episode, a16z GP Martin Casado sits down with Sherwin Wu, Head of Engineering for the OpenAI Platform, to break down how OpenAI organizes its platform across models, pricing, and infrastructure, and how it is shifting from a single general-purpose model to a portfolio of specialized systems, custom fine-tuning options, and node-based agent workflows. They get into why developers tend to stick with a trusted model family, what builds that trust, and why the industry moved past the idea of one model that can do everything. Sherwin also explains the evolution from prompt engineering to context design and how companies use OpenAI’s fine-tuning and RFT APIs to shape model behavior with their own data.

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.

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.

Half a billion people can access the world’s best AI on their phone. So why are most using it to write emails while only some are using it to build empires? In this conversation with Mark Halperin from Next Up, Marc Andreessen reveals why small bakeries are beating Fortune 500 companies at AI adoption, how to turn ChatGPT into your personal board of directors, and why Silicon Valley just reversed five years of geographic dispersion overnight. He also shares the questions that unlock AI's real power—including one of his favorite prompts: "What questions should I be asking?"

Epoch AI researchers reveal why Anthropic might beat everyone to the first gigawatt datacenter, why AI could solve the Riemann hypothesis in 5 years, and what 30% GDP growth actually looks like. They explain why "energy bottlenecks" are just companies complaining about paying 2x for power instead of getting it cheap, why 10% of current jobs will vanish this decade, and the most data-driven take on whether we're racing toward superintelligence or headed for history's biggest bubble.

Vlad Tenev built Robinhood by breaking every rule Wall Street wrote: zero commissions when competitors charged $10, mobile-first when "serious" investors demanded desktop, a brand that made finance feel like rebellion instead of a club you'd never join. By 2021 they'd forced every major brokerage to slash fees and attracted millions who'd never owned a stock, but then GameStop happened: trading restrictions during the meme stock frenzy triggered congressional hearings, user fury, and a two-year brand crisis that nearly buried them despite the real culprit being antiquated clearing mechanics no one understood. Now Tenev's pushing an even more radical vision—tokenizing private company shares so retail investors can own stakes in AI giants before IPO, turning prediction markets into "truth machines" that beat polls and pundits, and building what he calls the end of financial nihilism: a platform where your seventy-year-old parents and your Gen Z cousin both manage everything from retirement accounts to election bets in one place. The question isn't whether traditional finance survives this; it's whether Robinhood can move fast enough to own the entire wealth transfer before someone else does.

The former bank regulator who invented deposit networks just revealed why SVB's collapse was inevitable—and why the solution that could have saved them is finally being rebuilt. Gene Ludwig ran the OCC during the Clinton administration, created a half-trillion-dollar market solving a problem his Aunt Betty faced riding buses between banks, then watched his invention fail to save Silicon Valley Bank because the technology, economics, and incentives were fundamentally broken. Now he's partnered with Paolo and ModernFi to build what could become America's eighth systemically important financial utility: a bank-owned consortium that's signing 25 institutions per week and racing to protect the 4.8 trillion in uninsured deposits that make the next crisis inevitable.

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.

Emmett Shear, founder of Twitch and former OpenAI interim CEO, challenges the fundamental assumptions driving AGI development. In this conversation with Erik Torenberg and Séb Krier, Shear argues that the entire "control and steering" paradigm for AI alignment is fatally flawed. Instead, he proposes "organic alignment" - teaching AI systems to genuinely care about humans the way we naturally do. The discussion explores why treating AGI as a tool rather than a potential being could be catastrophic, how current chatbots act as "narcissistic mirrors," and why the only sustainable path forward is creating AI that can say no to harmful requests. Shear shares his technical approach through multi-agent simulations at his new company Softmax, and offers a surprisingly hopeful vision of humans and AI as collaborative teammates - if we can get the alignment right.

Two venture capitalists dissect why biotech burns billions while China runs trials in weeks—and why the next Genentech won't look anything like the last one. Elliot Hershberg reveals the "three horsemen" strangling drug development as costs explode to $2.5 billion per approval, while Lada Nuzhna exposes how investigator-initiated trials in Shanghai are rewriting the competitive playbook faster than American founders can file INDs. When the infrastructure that built monoclonal antibodies becomes the commodity threatening to hollow out an entire industry, the only path forward demands inventing medicines that are literally impossible to make without tools that don't exist yet—and they're betting everything on which approach survives.

Fei-Fei Li and Justin Johnson are pioneers in AI. While the world has only recently witnessed a surge in consumer AI, they have long been laying the groundwork for the innovations transforming industries today. With the recent launch of Marble, the first product from their company World Labs, we are revisiting this conversation to explore the ideas that started it all. World Labs is focused on spatial intelligence, building Large World Models that can perceive, generate, and interact with the 3D world. Marble brings that vision to life, allowing anyone, from individual creators to major platforms, to generate 3D scenes directly from text or image prompts and turn complex 3D creation into a simple, creative process. In this episode, a16z general partner Martin Casado talks with Fei-Fei and Justin about the journey from early AI winters to the rise of deep learning and multimodal AI. From foundational breakthroughs like ImageNet to the cutting-edge realm of spatial intelligence, they discuss the evolution of the field and what is next for innovation at World Labs.

The Empire State Building took 110 days to build—today, changing a window would take two years. Alex Rampell (a16z) and Varun Krishna (Rocket CEO) expose how asset inflation turned housing from the American Dream into a wealth transfer machine where the median homebuyer age jumped from 30 to 38 in just fourteen years. While Silicon Valley burns billions on products people use daily but never pay for, Rocket quietly assembled a $10 billion profit engine and is now buying up the entire housing funnel—from Redfin's 50 million monthly searchers to one in six US mortgages—betting they can crack the code everyone else gave up on: turning a once-in-a-lifetime transaction into an everyday relationship.

Grant Lee was told Gamma was "the worst idea ever heard" by an investor who hung up mid-Zoom—yet he built it to 100 million users and $100M ARR without spending a dollar on advertising. While competitors hired aggressively, Grant's team of seven refused to grow, dedicating 25% of their tiny team to design and personally onboarding every influencer themselves. They reveal how ignoring AI for their first two years, then orchestrating multiple models in ways the frontier labs can't replicate, let them steal the presentation market from Microsoft and Google—going from 60,000 signups in eight months to 50,000 per day.

When four MIT grads decided to build a code editor while everyone else was building AI agents, they created the fastest-growing developer tool ever built. Cursor CEO Michael Truell joins a16z’s Martin Casado to discuss the deliberate constraints that led to breakthroughs: why they rejected the "democratization" narrative to focus on power users, how their 2-day work trials test for agency over credentials, and the strategic decision to own the editor when conventional wisdom said it was impossible.

The regulatory environment has completely inverted. Stablecoins are now a top 20 holder of US treasuries. Every major bank wants in. In a16z Crypto's 2025 State of Crypto report, Daren Matsuoka (Head of Data) and Eddy Lazzarin (CTO) reveal how crypto hit $4 trillion market cap while fundamentally reshaping how institutions think about payments, with surprising data on why developers aren't following prices this cycle and what privacy's inevitable rise means for mainstream adoption.