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2,519 件並び順
1:44:35ENJoe Hudson: $500 Billion Went Into AI, and Nobody Defined 'Good for Humanity'ホスト 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 Growthゲスト Jason Lemkin, Rory O’Driscoll, Jeff Lawson · ホスト 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 Holdホスト 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 Europeゲスト Mati Staniszewski · ホスト 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 Timelinesホスト 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. Doctorsホスト 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 20VCゲスト Cliff Obrecht, Jason Lemkin, Rory O’Driscoll · ホスト 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.
3:36:25ENT. rex Was an Orca on Land. Almost Nothing Else Matches the Movies.ゲスト Dave Hone · ホスト 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 dodgeホスト 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 Hypeゲスト Nick Frosst · ホスト Harry StebbingsThe Cohere co-founder discusses data, benchmarks, workplace automation and why he challenges popular claims about AGI.
1:39:39ZH杨植麟:Kimi K2、智能体泛化与无尽的技术攀登ゲスト 杨植麟 · ホスト 张小珺月之暗面创始人回顾 K2 的研发,并讨论智能体训练、产品与组织。
1:55:02ENA hundred experiments a day, and the valley of death in materialsホスト 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.
1:50:28ENThe 87-Kilobyte Program Two Billion People Open Every Monthゲスト Dave Plummer · ホスト Lex FridmanDave Plummer talks Lex Fridman through Task Manager, old-school Microsoft, and how an autistic mind actually works.
40:54ENSeventeen Years of Flat Power, and a Plan to Bring the Factories Homeホスト Sarah Guo, Elad GilJacob Helberg, the under secretary of state designate for economic growth, energy, and the environment, argues that nuclear power and AI productivity—not cheap labor—are how America reshore its supply chain.
1:14:44ENMarc Benioff on Enterprise AI, Anthropic’s Funding and Klarna’s IPOゲスト Marc Benioff, Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsThe Salesforce CEO joins Harry Stebbings, Jason Lemkin and Rory O’Driscoll to discuss AI agents, software growth and the economics of today’s venture market.
2:02:17ENSAEs Find the Nouns. Parameter Decomposition Looks for the Verbsホスト Nathan LabenzGoodfire's Lee Sharkey argues that sparse autoencoders recover a network's variables, not the algorithms those variables run, and shows how stochastic parameter decomposition tries to recover the computations themselves.
35:45ENSix Years of Revenue, Then Four Times That in Eight Monthsn8n CEO Jan Oberhauser tells Sequoia how two bets — becoming an AI-agent builder, then deleting the leads metric — turned a workflow tool into a default orchestration layer.
1:23:11ENBessemer’s Byron Deeter on AI Growth, Venture Scale and Liquidityゲスト Byron Deeter · ホスト Harry StebbingsDeeter discusses AI software economics, follow-on investments and the trade-offs facing venture firms and their limited partners.
10:26:31ENThe War on Terror's Only Gift Was Better Luke Skywalker Handsゲスト Scott Horton · ホスト Lex FridmanScott Horton walks Lex Fridman through fifty years of U.S. wars, from Vietnam Syndrome to Ukraine, and argues the machinery never stops because it is not supposed to.
2:04:27ENA 10% Chance of an AI-Enabled Coup in the Next 30 Yearsホスト Nathan LabenzTom Davidson maps three ways superintelligent systems could help a head of state or a lab CEO lock in power—and argues the window for building safeguards is short.
1:34:58ENDatabricks Valuation, CoreWeave Debt and the Risks Behind AI Growthゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsJason Lemkin and Rory O’Driscoll join Harry Stebbings to discuss private valuations, fintech and the financing of AI infrastructure.
42:12ENHire the AI First: Andrew Ng on Agentic Workflows and the Scarcity of Judgmentホスト Sarah Guo, Elad GilOn No Priors, Andrew Ng argues that agentic AI has made software cheap and fast, which moves the bottleneck to product judgment, error analysis, and the instinct to try an AI before adding headcount.
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