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2,815개정렬
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.
1:50:28ENThe 87-Kilobyte Program Two Billion People Open Every Month게스트 Dave Plummer · 진행자 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 Home진행자 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.
17:51ENAI News in August 2025: Claude for Chrome, New Models and AI InfrastructureMatthew Berman · Forward FutureMatthew Berman reviews a browser-agent preview, model releases, reported Apple discussions and research on inference and weather.
1:14:44ENMarc Benioff on Enterprise AI, Anthropic’s Funding and Klarna’s IPO게스트 Marc Benioff, Jason Lemkin, Rory O’Driscoll · 진행자 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 Verbs진행자 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.
1:01:23ENWill Crichton on Making Rust More UnderstandableWill Crichton · Brown UniversityOwnership visualizations, interactive trait diagnostics and program slicing illustrate an evidence-based approach to developer tools.
18:31ENTesting Nano Banana: Gemini 2.5 Flash Image EditingMatthew Berman · Forward FutureMatthew Berman tests character consistency, image edits, generation, visual sequences and common failure cases.
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 Liquidity게스트 Byron Deeter · 진행자 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 Hands게스트 Scott Horton · 진행자 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 Years진행자 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 Growth게스트 Jason Lemkin, Rory O’Driscoll · 진행자 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 Judgment진행자 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.
13:13ENEarly Nano Banana Image Editing Examples and a Hands-On TestMatthew Berman · Forward FutureMatthew Berman examines selective edits, photo restoration and image composition, then tries several prompts in LM Arena.
1:51:24ENFrontier AI Insiders Don't Trust Regulators. A Berlin Group Built Them an Anonymous Off-Ramp진행자 Nathan LabenzKarl Koch of the AI Whistleblower Initiative on gray-zone fears, retaliation, and a Tor-based way to ask for help before you decide anything.
30:05EN100 Signups, 95 Drop-offs: How Gamma Turned AI Slides Into a $50 Million BusinessGamma founder Jon Noronha tells Sequoia's Training Data how a park-bench idea, image models, and relentless A/B testing built a cash-flow-positive visual storytelling platform.
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