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17:56EN
AI Engineer· 25. Okt. 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. Okt. 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. Okt. 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.
34:11EN
GOTO Conferences· 23. Okt. 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.
1:25:33EN
Latent Space· 22. Okt. 2026Podcast · 2 StimmenWhy GPU Capacity Comes in Three-Year Rectangles — Erik Bernhardsson, ModalGast: Erik Bernhardsson · Moderation: 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.
57:47EN
The Builders· 22. Okt. 2026Peter Thiel on AI Acceleration, Global Power, and the Values of Its BuildersGast: Peter Thiel · Moderation: Walter IsaacsonWalter Isaacson challenges Peter Thiel on AI risk, concentrated power, and the moral responsibilities of visionary founders. Thiel argues that stopping progress carries dangers of its own.
26:41ENLatent Space· 22. Okt. 2026Podcast · 2 StimmenAnekha Sokhal on Moshi, a Recommendation Engine for Commodity TradersGast: Anekha Sokhal · Moderation: 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.
1:56:28EN
The Pragmatic Engineer· 21. Okt. 2026Podcast · 2 StimmenWill Larson: The Revised Rules of Engineering ManagementGast: Will Larson · Moderation: 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.
1:59:52EN
Zhang Xiaojun Podcast· 21. Okt. 2026Podcast · 2 StimmenDavid Qian on Succession, Robotics, and Finding His Own AmbitionGast: David Qian (Qian Cheng) · Moderation: 张小珺Ecovacs CEO David Qian reflects on inheriting a founder-built company, learning to lead through mistakes, and choosing a patient path in robotics. His account treats succession as an ongoing effort to build the company for a new era, not a finish line.
37:14ENThe Builders· 20. Okt. 2026Elon Musk on AI Control, Robot Abundance, and His Regrets About DOGEGast: Elon Musk · Moderation: Walter IsaacsonWalter Isaacson asks Elon Musk how humanity can remain safe and find purpose as AI grows more capable, and challenges him on politics, empathy, and the future he is building.
40:44EN
3Blue1Brown· 16. Okt. 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.
2:51:18ENZhang Xiaojun Podcast· 15. Okt. 2026Podcast · 2 StimmenLindon Gao on Building Dyna Robotics and Finding a Path Through the FogGast: Lindon Gao · Moderation: 张小珺Dyna Robotics CEO Lindon Gao explains why his company builds intelligence through real workflows, how hardware and research must evolve together, and how a founder can find clarity by letting go of the need to be right.
39:23EN
No Priors: AI, Machine Learning, Tech, & Startups· 15. Okt. 2026Podcast · 2 StimmenThe Defenders' Window: Greg Brockman on AI-Generated Knowledge, Drug Discovery, and the New Physics of CybersecurityModeration: 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. Okt. 2026Podcast · 2 Stimmen10,000 GB300s for Four Weeks: Reflection’s Open-Model LedgerModeration: 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.
12:49EN
OpenAI· 7. Okt. 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. Okt. 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. Okt. 2026Podcast · 2 StimmenCompute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That RatioModeration: 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. 2026Podcast · 2 StimmenThey Paid $7.7 Billion for a Broker — and Intend to Do One Deal a YearModeration: 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.
1:01:33EN
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. 2026Podcast · 2 StimmenDiffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom SiliconModeration: 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. 2026Podcast · 2 Stimmen76% of Agentic Commerce Is Under 30 Cents — So Coinbase Is Banking the AIsModeration: 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.
2:34:18ENZhang Xiaojun Podcast· 3. Sept. 2026Podcast · 2 StimmenZeng Ming on AI’s New Era: Why Great Companies and New Organizations EmergeGast: Zeng Ming · Moderation: 张小珺Zeng Ming argues that AI is changing the foundations of business: models will become infrastructure, while new Agent-native applications and organizations create the next wave of value. His advice to founders is to embrace uncertainty, rethink strategy continuously, and build around meaningful work rather than inherited structures.
37:07ENNo Priors: AI, Machine Learning, Tech, & Startups· 3. Sept. 2026Podcast · 2 StimmenArm’s 98.5% margin business just started shipping chipsModeration: 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.
34:51ENNo Priors: AI, Machine Learning, Tech, & Startups· 27. Aug. 2026Podcast · 2 StimmenGoogle Paid $10 Million for a Bankrupt Airline’s Data. That’s the Moat.Moderation: 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.Mehr laden24 von 953 angezeigt