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950 件
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スライド 12 枚17:56EN
AI Engineer· 2026年10月25日How 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.エンタープライズ AIPrivacy & data governanceSearch & retrieval+2
スライド 10 枚18:31EN
AI Engineer· 2026年10月25日Janie 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.金融 AIBenchmarks評価(Evals)+2
スライド 7 枚19:37EN
AI Engineer· 2026年10月25日Jay 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.エージェント工学Computer useWorkflow automation+2
スライド 5 枚34:11EN
GOTO Conferences· 2026年10月23日Anatoliy 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.開発ワークフローとテストCode review & verificationオブザーバビリティと信頼性+2
1:25:33EN
Latent Space· 2026年10月22日ポッドキャスト · 2 人Why GPU Capacity Comes in Three-Year Rectangles — Erik Bernhardsson, Modalゲスト Erik Bernhardsson · ホスト 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.インフラとデプロイSandboxes & isolationAI cost & performance+2
26:41EN
Latent Space· 2026年10月22日ポッドキャスト · 2 人Anekha Sokhal on Moshi, a Recommendation Engine for Commodity Tradersゲスト Anekha Sokhal · ホスト 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.金融 AIRecommendation systemsData quality & curation+2
1:56:28EN
The Pragmatic Engineer· 2026年10月21日ポッドキャスト · 2 人Will Larson: The Revised Rules of Engineering Managementゲスト Will Larson · ホスト 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.ManagementLeadershipCareer Growth+2
スライド 20 枚40:44EN
3Blue1Brown· 2026年10月16日Grant 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.MathematicsAI for scienceHuman-AI Collaboration+2
39:23EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年10月15日ポッドキャスト · 2 人The Defenders' Window: Greg Brockman on AI-Generated Knowledge, Drug Discovery, and the New Physics of Cybersecurityホスト 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.セキュリティと安全性AI security安全性とガバナンス+3
1:09:44EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年10月9日ポッドキャスト · 2 人10,000 GB300s for Four Weeks: Reflection’s Open-Model Ledgerホスト 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.オープンソースとコミュニティOpen-weight modelsReinforcement Learning+3
12:49EN
OpenAI· 2026年10月7日Alex 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.エージェントインフラとデプロイGenerative media+2
13:12EN
OpenAI· 2026年10月7日Alexandra 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.コーディングエージェントエンタープライズ AIエージェント+2
35:39EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年10月2日ポッドキャスト · 2 人Compute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That Ratioホスト 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.インフラとデプロイInferenceAI cost & performance+3
42:44EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年9月24日ポッドキャスト · 2 人They Paid $7.7 Billion for a Broker — and Intend to Do One Deal a Yearホスト 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.企業と戦略エンタープライズ AIAI Strategy+3
スライド 38 枚1:01:33EN
DeepLearningAI· 2026年9月22日Spec-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.コーディングエージェントAgent skills開発ワークフローとテスト+2
38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年9月18日ポッドキャスト · 2 人Diffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom Siliconホスト 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.モデルと学習InferenceAI cost & performance+3
45:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年9月10日ポッドキャスト · 2 人76% of Agentic Commerce Is Under 30 Cents — So Coinbase Is Banking the AIsホスト 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.エージェントAgentic commerce金融 AI+3
37:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年9月3日ポッドキャスト · 2 人Arm’s 98.5% margin business just started shipping chipsホスト 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.インフラとデプロイCompany BuildingAI Strategy+3
スライド 3 枚3:43:42ZH
罗永浩的十字路口· 2026年9月1日ポッドキャスト · 2 人手工耿:村口五金店里的达达主义者ゲスト 手工耿 · ホスト 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。CreativityCreator EconomyComedy+2
34:51EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年8月27日ポッドキャスト · 2 人Google Paid $10 Million for a Bankrupt Airline’s Data. That’s the Moat.ホスト 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.企業と戦略インフラとデプロイData quality & curation+3
5:15:51EN
Lex Fridman· 2026年8月26日ポッドキャスト · 2 人DHH Did Not Write a Line of Omarchy Quattroゲスト DHH · ホスト 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.コーディングエージェントVibe Codingエージェント工学+3
31:39EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年8月20日ポッドキャスト · 2 人The Skull Is Already the Vat: Max Hodak on Restoring Sightホスト 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.Brain-Computer InterfacesAI in healthcareNeuroscience & AI+3
46:08EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年8月13日ポッドキャスト · 2 人Computers Beat Humans at Chess 30 Years Ago. Chess.com Still Has 250 Million Playersホスト 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.企業と戦略Company BuildingProduct Strategy+3
3:12:58EN
Lex Fridman· 2026年8月12日ポッドキャスト · 2 人One Cold Shower, Twenty Champions: How Khabib Nurmagomedov Was Forgedゲスト Khabib Nurmagomedov · ホスト Lex FridmanIn a Makhachkala school gym, seventy men shared one shower, and the water was only cold.Martial ArtsCombat SportsCoaching+3
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