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AI Engineer· 25 oct 2026How Bridgewater Keeps Its AI Analyst Inside Permission BoundariesNikhil Benesch, Aaron Linsky · turbopufferAaron Linsky and Nikhil Benesch explain why search over an enterprise vault must honor document permissions without sacrificing recall or speed. Their solution combines vector indexing with native filtering to search hundreds of millions of vectors in roughly 120 milliseconds.
18:31ENAI Engineer· 25 oct 2026Janie Gu and Suyeol Yun: Why Frontier Models Fail as Buy-Side AnalystsJanie Gu, Suyeol Yun · Google DeepMindJanie Gu explains why benchmark scores can mislead, while Suyeol Yun presents MandateBench, which tests whether a model can turn a fund mandate into a defensible investment memo. The two talks show why real workflows, reproducible grading, and evidence-backed reasoning matter.
19:37ENAI Engineer· 25 oct 2026Jay Sahnan and Arik Bird on Building Financial Agents for the Whole WebJay Sahnan, Arik Bird · BrowserbaseBrowserbase’s Jay Sahnan and Arik Bird show how browser agents reach financial data hidden behind logins and bot defenses. Their Ramp, Bill, and Stripe examples connect reliable cloud browsers with Stagehand’s more adaptive controls.
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GOTO Conferences· 23 oct 2026Anatoliy Bilenko and Alberto Carretero: Making Database Protocols Reliable with Formal Methods and AIAnatoliy Bilenko, Alberto Carretero · CanonicalCanonical’s database engineers connect executable specifications, model-based tests, failure exploration, and reconstructed execution histories—and explain why none of these techniques proves a real system correct on its own.
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Latent Space· 22 oct 2026Pódcast · 2 vocesWhy GPU Capacity Comes in Three-Year Rectangles — Erik Bernhardsson, ModalInvitado: Erik Bernhardsson · Presenta: Vibhu SapraModal’s CEO tells Latent Space why AI demand almost never looks like a three-year GPU contract, how the company pools compute across thousands of customers, and why sandboxes grew from a product they almost killed into a third of revenue.
26:41ENLatent Space· 22 oct 2026Pódcast · 2 vocesAnekha Sokhal on Moshi, a Recommendation Engine for Commodity TradersInvitado: Anekha Sokhal · Presenta: swyxThe Moshi founder tells swyx how she would rebuild a trader’s workflow: connect market data, private files and conflicting sources, then push the second-order effects people would otherwise miss. The hard part is not the dashboard. It is getting someone to actually use it.
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The Pragmatic Engineer· 21 oct 2026Pódcast · 2 vocesWill Larson: The Revised Rules of Engineering ManagementInvitado: Will Larson · Presenta: Gergely OroszThe 2010s taught engineering managers never to make a technical decision again. Will Larson, CTO of Imprint and author of Staff Engineer, argues that era is over: managers who cannot get back into the work are in a career trap.
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3Blue1Brown· 16 oct 2026Grant Sanderson: There's never been a better time to go into mathGrant Sanderson, Constantin Kogler · 3Blue1BrownStudents fear AI has solved mathematics. Grant Sanderson argues the opposite: even if machines prove theorems better than we do, the institution of math stays valuable—and this is a rare moment when newcomers can reshape it.
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No Priors: AI, Machine Learning, Tech, & Startups· 15 oct 2026Pódcast · 2 vocesThe Defenders' Window: Greg Brockman on AI-Generated Knowledge, Drug Discovery, and the New Physics of CybersecurityPresenta: Sarah Guo, Elad GilOpenAI's president explains why solving open math problems is a proof point for science, how proactive agents change product form, and why security spending must exceed software spending.
1:09:44ENNo Priors: AI, Machine Learning, Tech, & Startups· 9 oct 2026Pódcast · 2 voces10,000 GB300s for Four Weeks: Reflection’s Open-Model LedgerPresenta: Sarah Guo, Elad GilMisha Laskin tells No Priors how Reflection trained Beam, why reinforcement learning outspent pre-training, and why the West needs its own open weights.
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OpenAI· 7 oct 2026Alex Mashrabov: Higgsfield agents that choose models and launch their own GPUsAlex Mashrabov · HiggsfieldAt OpenAI DevDay 2026, Higgsfield's CEO walks through why a continuous media experience needs an agent that picks models, scores its own output, and provisions GPUs — including a live 10-hour AI stream small teams can now ship.
13:12ENOpenAI· 7 oct 2026Alexandra Lato on Building Stack Overflow for Agents and Stack Internal with CodexAarti Bagul, Alexandra Lato · OpenAIStack Overflow’s VP of Product explains how a small team used Codex with opposite constraints on two products—and why agent-native design means letting agents contribute knowledge, not just read it.
35:39ENNo Priors: AI, Machine Learning, Tech, & Startups· 2 oct 2026Pódcast · 2 vocesCompute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That RatioPresenta: Sarah Guo, Elad GilIn the summer of 2022, Walter Goodwin founded Fractile in London to build very fast inference chips for the world's largest models.
42:44ENNo Priors: AI, Machine Learning, Tech, & Startups· 24 sept 2026Pódcast · 2 vocesThey Paid $7.7 Billion for a Broker — and Intend to Do One Deal a YearPresenta: Sarah Guo, Elad GilSequence Holdings co-founder Michael Lee tells No Priors why owning a market leader, not selling it software, is how AI actually remakes an incumbent.
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DeepLearningAI· 22 sept 2026Spec-Driven Development with Coding Agents: Write the Spec, Let the Agent BuildAndrew Ng, Paul Everitt · DeepLearning.AIJetBrains developer advocate Paul Everitt walks through a full spec-driven workflow: a project constitution, feature loops of plan–implement–validate, and agent skills that travel across tools. The alternative to vibe coding is a markdown contract the agent cannot forget.
38:14ENNo Priors: AI, Machine Learning, Tech, & Startups· 18 sept 2026Pódcast · 2 vocesDiffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom SiliconPresenta: Sarah Guo, Elad GilThe Stanford diffusion pioneer tells No Priors why a 50-person lab is training language models that generate many tokens at once — and why that maps to GPUs the way transformers once mapped to training.
45:10ENNo Priors: AI, Machine Learning, Tech, & Startups· 10 sept 2026Pódcast · 2 voces76% of Agentic Commerce Is Under 30 Cents — So Coinbase Is Banking the AIsPresenta: Sarah Guo, Elad GilBrian Armstrong tells Elad Gil how Coinbase became an everything exchange, why card networks cannot price agent-to-agent payments, and what his longevity company is taking into the clinic.
37:07ENNo Priors: AI, Machine Learning, Tech, & Startups· 3 sept 2026Pódcast · 2 vocesArm’s 98.5% margin business just started shipping chipsPresenta: Sarah Guo, Elad GilCEO Rene Haas tells No Priors why the IP company built a physical CPU for Meta, and why CPUs still sit at the center of AI systems.
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罗永浩的十字路口· 1 sept 2026Pódcast · 2 voces手工耿：村口五金店里的达达主义者Invitado: 手工耿 · Presenta: 罗永浩罗永浩请来手工耿，认真聊他如何从不锈钢拖鞋卖不出去，走到被全世界当成搞笑发明家——而他自己始终觉得那些东西有用。
34:51ENNo Priors: AI, Machine Learning, Tech, & Startups· 27 ago 2026Pódcast · 2 vocesGoogle Paid $10 Million for a Bankrupt Airline’s Data. That’s the Moat.Presenta: Sarah Guo, Elad GilEon co-founders Ofir Ehrlich and Gonen Stein argue that models and compute are rented commodities — the only asset enterprises can actually keep is their data.
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Lex Fridman· 26 ago 2026Pódcast · 2 vocesDHH Did Not Write a Line of Omarchy QuattroInvitado: DHH · Presenta: Lex FridmanThirteen months after a skeptical conversation with Lex Fridman, the Rails creator describes how Opus 4.5, a swarm of coding agents, and a one-minute Linux installer ended his era of hand-chiseled Ruby.
31:39ENNo Priors: AI, Machine Learning, Tech, & Startups· 20 ago 2026Pódcast · 2 vocesThe Skull Is Already the Vat: Max Hodak on Restoring SightPresenta: Sarah Guo, Elad GilPatients blinded by macular degeneration put on laser-projector glasses, read books, and fill in Sudoku — because a chip under the retina is sending vision back into the brain.
46:08ENNo Priors: AI, Machine Learning, Tech, & Startups· 13 ago 2026Pódcast · 2 vocesComputers Beat Humans at Chess 30 Years Ago. Chess.com Still Has 250 Million PlayersPresenta: Sarah Guo, Elad GilChess.com CEO Erik Allebest tells Sarah Guo how a $56,000 domain became a $200 million business, and why superhuman AI made chess more popular, not obsolete.
3:12:58ENLex Fridman· 12 ago 2026Pódcast · 2 vocesOne Cold Shower, Twenty Champions: How Khabib Nurmagomedov Was ForgedInvitado: Khabib Nurmagomedov · Presenta: Lex FridmanIn a Makhachkala school gym, seventy men shared one shower, and the water was only cold.Cargar másMostrando 24 de 950