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2,946개정렬
1:38:05ENHemant Taneja on Scaling General Catalyst, AI and the Future of Venture게스트 Hemant Taneja · 진행자 Harry StebbingsThe General Catalyst CEO discusses early-stage returns, AI’s effect on work and the difficulty of investing through rapid technological change.
1:28:17ENAdam Gleave's Three Capability Tiers: Attack Agents in 5–7 Years, Fully AI Companies Around Year 14진행자 Nathan LabenzFAR.AI and the UK AI Security Institute stacked adversarial attacks on frontier safeguard pipelines and found many breakthroughs were engineering failures, not a verdict against defense in depth.
4:25:44ENThe Wehrmacht's Secret Ingredient Was Methamphetamine게스트 Norman Ohler · 진행자 Lex FridmanHistorian Norman Ohler tells Lex Fridman how Pervitin, Hitler's doctor, and LSD change the story of World War II without turning drugs into a single cause.
1:32:50ENKaz Nejatian on Opendoor, AI Financing and the Cost of Growth게스트 Kaz Nejatian, Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsOpendoor’s new CEO explains his housing strategy; Harry Stebbings and investors examine AI infrastructure commitments, software margins and the return of IPOs.
31:22ENDecagon Prices AI Support by the Conversation. The Market Is Wages.진행자 Sarah Guo, Elad GilJesse Zhang on six-figure contracts at zero ARR, 60–70% contact-center cuts, and a world where your agent calls the airline’s agent.
42:20ENA Name Invented at 2:30 a.m. Put Gemini on Top of the App Store진행자 Jacob EffronGoogle's Nicole Brichtova and Oliver Wang on Nano Banana, why image models got smart when language models did, and why a prompt still is not a finished product.
8:47ENWhy Identical LLM Prompts Can Produce Different Answers at Temperature ZeroMatthew Berman · Forward FutureMatthew Berman explains Thinking Machines Lab’s work on batch-invariant inference and what its reproducibility experiment actually showed.
1:00:35ENMercor CEO Brendan Foody on Expert Data, AI Evaluations and Growth게스트 Brendan Foody · 진행자 Harry StebbingsFoody explains Mercor’s marketplace, reported revenue run rate and views on model development, margins and company culture.
58:25ENA construction permit that took four months now takes three minutes진행자 Sarah Guo, Elad GilJared Kushner talks with Sarah Guo and Elad Gil about Affinity Partners, the AI firm BrainCo, and how capital, energy, and Middle East diplomacy now run through AI.
1:32:47ENA transformer co-author wants a $160 million model no company owns진행자 Nathan LabenzIllia Polosukhin tells Nathan Labenz how NEAR turned a payments headache into a stack for private inference, shared-revenue training, and AI agents that still answer to a court.
1:44:35ENJoe Hudson: $500 Billion Went Into AI, and Nobody Defined 'Good for Humanity'진행자 Nathan LabenzSam Altman says the OpenAI coach's superpower is emotional clarity — and that it will be one of the most critical skills in a post-AGI world.
1:34:12ENOpenAI Secondaries, Ramp and the Price of AI Growth게스트 Jason Lemkin, Rory O’Driscoll, Jeff Lawson · 진행자 Harry StebbingsJason Lemkin, Rory O’Driscoll and Jeff Lawson join Harry Stebbings to debate AI funding, founder incentives and the risks of moving too fast.
59:06ENInference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't Hold진행자 Jacob EffronThe FlashAttention author and Together AI chief scientist on why hardware portability is a myth, how Claude Code made him 1.5x faster, and why workloads will split the chip market.
43:09ENA $100 Arm and a $300 Robot: Hugging Face Wants an App Store for Physical AIThomas Wolf tells Sequoia's Training Data why LeRobot, cheap hardware, and open datasets are Hugging Face's bet that software developers can become roboticists.
1:22:04ENElevenLabs CEO Mati Staniszewski on Voice AI, Growth and Building from Europe게스트 Mati Staniszewski · 진행자 Harry StebbingsStaniszewski discusses the company’s origins in dubbing, its financing and reported ARR, and the challenges of scaling voice products.
3:14:49ENNothing This Summer Jumped the Curve: Why Zvi Lengthened His AGI Timelines진행자 Nathan LabenzOn his tenth visit to The Cognitive Revolution, Zvi Mowshowitz argues that GPT-5 and IMO gold stayed on trend, while chip policy, energy, and reinforcement learning nudged his p(doom) slightly up.
44:49ENHow OpenEvidence Became the Clinical OS for 40% of U.S. Doctors진행자 Sarah Guo, Elad GilFounder Daniel Nadler tells No Priors how a free search tool for physicians, not an answer engine for patients, took high-stakes clinical knowledge in 18 months.
1:14:45ENAnthropic, Statsig and the Economics of AI Growth: Cliff Obrecht and 20VC게스트 Cliff Obrecht, Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsCanva’s Cliff Obrecht joins Harry Stebbings and investors to discuss AI financing, employee liquidity and the real cost of putting models into software.
1:12:58ENChris Lattner on Mojo and the Search for Portable GPU PerformanceYaron Minsky, Chris Lattner · Jane StreetRon Minsky and Chris Lattner discuss the language and compiler design behind Modular’s effort to make accelerator programming both portable and fast.
3:36:25ENT. rex Was an Orca on Land. Almost Nothing Else Matches the Movies.게스트 Dave Hone · 진행자 Lex FridmanPaleontologist Dave Hone walks Lex Fridman through T. rex size, bone-crushing anatomy, hunting, extinction, and what Jurassic Park still gets wrong.
1:51:39ENA native ad engine for AI—and the questions it cannot dodge진행자 Nathan LabenzRyan Hudson, who sold Honey to PayPal for $4 billion, joins Nathan Labenz to explain ZeroClick’s bet on paid inference-time ads, and the societal incentives he has not yet had to confront.
50:00ENCrosby Bills by the Document, Not the Hour, and Turns Contracts Around in Under an HourThe founders of an AI-native law firm explain why they became lawyers with engineers at the next desk instead of shipping legal software, and how deal velocity became the product.
1:14:39ENNick Frosst on Cohere’s Enterprise AI Strategy and the Limits of Hype게스트 Nick Frosst · 진행자 Harry StebbingsThe Cohere co-founder discusses data, benchmarks, workplace automation and why he challenges popular claims about AGI.
1:55:02ENA hundred experiments a day, and the valley of death in materials진행자 Nathan LabenzRadical AI’s co-founders tell Nathan Labenz how a closed loop of frontier models and a self-driving lab is meant to collapse a forty-year materials cycle into less than a decade.
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