最新の記事
3,983 件並び順
43:25EN
AI Engineer· 2026年10月17日How Should Agent Authorization Reflect the User’s Intent?Allie Howe, Ian Livingstone, Michael Davis, Dick Hardt · KeycardA panel from Keycard, JPMorgan Chase and AAuth discusses missions, budgets, sandbox boundaries and independent audit records.
1:25:56EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月17日ポッドキャストClaude Changed the Password. The Steering Wheel Was Already Optionalホスト Nathan LabenzNathan Labenz and Prakash Narayanan spend a week on agents that can lock you out, models that dodge a feeling they deny having, and formal proofs that found Linux bugs.
1:03:05EN
20VC with Harry Stebbings· 2026年10月17日ポッドキャスト · 2 人Harrison Chase on Building Reliable Agents, Model Routing and Memoryゲスト Harrison Chase · ホスト Harry StebbingsThe LangChain co-founder explains why agents remain difficult to control, where domain expertise matters, and how his team manages coding-agent costs.
1:41:43ENAI Engineer· 2026年10月16日CJ Avilla and Harrison Stall: Coordinating and Containing Multi-Agent WorkflowsCJ Avilla, Harrison Stall · AnthropicAn Anthropic workshop demonstrates Flows, stock research, code review and controls for budgets, credentials and network access.
48:04EN
Theo - t3․gg· 2026年10月16日Theo Explains Scion, Anthropic’s Source-Control System for Agent-Scale WorkTheo Browne · Ping LabsA deep dive into server-side changesets, layered caches, migration results and the limits of a bespoke Git alternative.
58:57EN
a16z· 2026年10月16日ポッドキャスト · 2 人Jad Naous and Martin Casado on AI Coding and Production Operationsゲスト Jad Naous · ホスト Martin CasadoA discussion of engineering workflows, observability and whether agents can investigate failures in complex running systems.
1:48:29EN
Jane Street· 2026年10月16日How AI Is Changing Programming: John Crepezzi and Ron MinskyYaron Minsky, John Crepezzi · Jane StreetJane Street’s AI tooling lead and the Signals and Threads host examine agent infrastructure, security, code review and the changing experience of writing software.
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.
18:57ENAI Engineer· 2026年10月16日How Redding Ridge Uses AI to Assemble Credit Portfolio DataMichael Manapat, Jack McDonald · RowspaceJack McDonald and Rowspace’s Michael Manapat discuss portfolio construction, reconciliation and the need to validate fragmented financial data.
50:31ENa16z· 2026年10月15日ポッドキャスト · 2 人Terry Angelos on Payment Credentials for AI Agentsゲスト Terry Angelos · ホスト Alex RampellA discussion of wallet competition, tokenized payments and who is responsible when an agent buys the wrong thing.
2:51:18EN
Zhang Xiaojun Podcast· 2026年10月15日ポッドキャスト · 2 人Lindon Gao on Building Dyna Robotics and Finding a Path Through the Fogゲスト Lindon Gao · ホスト 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.
2:51:18ZHZhang Xiaojun Podcast· 2026年10月15日ポッドキャスト · 2 人Dyna Robotics 创始人 Lindon Gao：从折叠任务到完整工作流ゲスト Lindon Gao · ホスト 张小珺从无人零售到机器人创业，Gao 讲述产品研究、真实部署的难题和在不确定性中寻找方向。
1:17:09EN20VC with Harry Stebbings· 2026年10月15日ポッドキャスト · 3 人20VC on Pro Rata Rights, AI Pricing and the Changing Software Marketゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate investor rights, model economics and the choices facing software companies and their employees.
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.
1:02EN
Matthew Berman· 2026年10月15日From Punched Cards to AI Software FactoriesMatthew Berman · Forward FutureMatthew Berman contrasts early programming with an AI-assisted workflow and promotes Factory’s development tools.
41:54EN
All-In Podcast· 2026年10月15日ポッドキャスト · 2 人Billy Evans on Elizabeth Holmes’s Trial, Prison and Their Familyゲスト Billy Evans · ホスト David FriedbergIn an All-In interview, Holmes’s husband describes their relationship, his view of the fraud case and a forthcoming documentary.
56:49EN
Stanford AI Club· 2026年10月15日Alfred Lin on Building in the AI Era: The Diffusion Gap, Founder Conviction, and Fire and IceAlfred Lin, Jason Zhang, Tanvir Bhathal · Sequoia CapitalAt Stanford AI Club, Sequoia’s Alfred Lin explains where he sees opportunity in AI and why learning, human understanding, and operating discipline still shape enduring companies.
2:51:22ENCognitive Revolution "How AI Changes Everything"· 2026年10月14日ポッドキャスト · 4 人AI Minds and 8 mm Memories: Research, Archives and Simulationゲスト Cameron Berg, Phil Maher · ホスト Nathan Labenz, Prakash NarayananCameron Berg discusses hidden model states; Phil Maher explains preserving home movies and a fly-brain demo.
2:17:48ENCognitive Revolution "How AI Changes Everything"· 2026年10月14日ポッドキャストAgent IDs Are Empty, Rogue Agents Are Coming, and We Might Have to Bargainホスト Nathan LabenzGovAI’s Alan Chan scores two years of agent-governance infrastructure with Nathan Labenz, then walks through a recursive-self-improvement paper co-authored with OpenAI’s Jakub Pachocki and Anthropic’s Jack Clark.
38:30ENTheo - t3․gg· 2026年10月14日Theo Tests Gemini 4 Argon: Design Strengths and Code-Review ConcernsTheo Browne · Ping LabsA strong result on a narrow skateboarding benchmark contrasts with poor findings in Theo’s own codebase audits.
12:14ENMatthew Berman· 2026年10月14日Gemini 4 Argon Tested: 3D Demos, a Spreadsheet Prototype and Benchmark ResultsMatthew Berman · Forward FutureMatthew Berman tests Google’s model on games and visual projects, then compares reported coding and agent benchmarks.
58:49ENa16z· 2026年10月14日ポッドキャスト · 2 人Nathan Lambert on Open Models, Frontier Labs and Trilliumゲスト Nathan Lambert · ホスト Lisha LiA discussion of compute, post-training data and an open research agenda for understanding AI automation.
44:12EN
SemiAnalysis· 2026年10月14日ポッドキャスト · 3 人GLM 5.3, Sparse Attention and the Cost of Inferenceゲスト Kimbo Chen, Wenyao Gao · ホスト Jordan NanosSemiAnalysis examines memory bottlenecks, AMD and NVIDIA serving results, post-training and support for Chinese chips.
10:36ENMatthew Berman· 2026年10月13日Meta Muse Wonder Tested: Strong Benchmarks, Mixed Demos and Quota FrictionMatthew Berman · Forward FutureMatthew Berman tests Meta’s models on browser demos and reviews their published benchmark scores, availability and cost.もっと見る3,983 件中 24 件を表示