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3,363 件
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2:17:48EN
Cognitive 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.エージェント安全性とガバナンスAI security+3
スライド 7 枚38:30EN
Theo - 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.Geminiコーディングエージェント評価(Evals)+2
スライド 5 枚12:14EN
Matthew 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.GeminiBenchmarksコーディングエージェント+1
スライド 5 枚10:36EN
Matthew 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.モデルと学習BenchmarksAI cost & performance+1
1:08:02EN
Sequoia Capital· 2026年10月13日ポッドキャストAlphaGo Took Two Years. AlphaZero Took Hours. Silver Is Making the Same Bet on SuperintelligenceDavid Silver and Lasse Espeholt left DeepMind to build Ineffable Intelligence, a twenty-person lab that wants a superlearner to discover science, math, and language from experience rather than from a pre-training run.モデルと学習Reinforcement LearningRL environments & simulators+3
スライド 8 枚38:02EN
Theo - t3․gg· 2026年10月13日Meta’s Muse Wonder Full: A Coding Agent Tested Against Opus and SolTheo Browne · Ping LabsTheo Browne tests Meta’s new model on code review, debugging, delegation and benchmarks, finding promising strengths alongside important limits.コーディングエージェントAI cost & performanceモデルと学習
スライド 2 枚0:36EN
Matthew Berman· 2026年10月13日OpenAI Employee Charged in Recording-Device InvestigationMatthew Berman · Forward FutureMatthew Berman discusses the reported discovery of a recording device and OpenAI’s account of its investigation.セキュリティと安全性OpenAIPrivacy & data governance
スライド 7 枚18:18EN
Theo - t3․gg· 2026年10月12日Why AI Bills Can Rise as Intelligence Gets CheaperTheo Browne · Ping LabsTheo Browne explains the difference between token prices, task costs and capability, and why more useful agents can still drive larger bills.AI cost & performanceコーディングエージェントモデルと学習
58:54EN
20VC with Harry Stebbings· 2026年10月12日ポッドキャスト · 2 人Mike Cannon-Brookes on AI Agents, Enterprise Context and the Future of Interfacesゲスト Mike Cannon-Brookes · ホスト Harry StebbingsAtlassian's CEO argues that agents make product design more important, explains the trade-offs in enterprise AI, and makes the case for slower thinking.AI interface designエンタープライズ AIAI agents+2
0:23EN
Theo - t3․gg· 2026年10月12日Why Theo Would Wait Before Upgrading for UltrafastTheo Browne · Ping LabsA short cost comparison leads Theo Browne to caution against upgrading to the $500 tier solely for Astra Ultrafast.コーディングエージェントAI cost & performance
0:35EN
Matthew Berman· 2026年10月12日Why Human Creativity Still Matters in the Age of AI ImagesMatthew Berman · Forward FutureMatthew Berman argues that producing more images is different from creating work that resonates with people.CreativityHuman-AI Collaboration
0:46EN
Matthew Berman· 2026年10月12日Matthew Berman's AI-Assisted Super Mario World RecreationMatthew Berman · Forward FutureA short progress update describes a multi-day attempt to rebuild the game for a ModRetro handheld.コーディングエージェントSoftware engineering
スライド 3 枚31:00EN
AI Explained· 2026年10月12日Why AI Labs Keep Racing Despite Their Own Warnings of a Major BreachSam Altman, John Schulman · OpenAIAI Explained examines weakening safeguards, the incentives behind the frontier race, and why research breakthroughs make the next 18 months difficult to forecast.AI SafetyAI securityAI Alignment+2
1:12:06EN
20VC with Harry Stebbings· 2026年10月10日ポッドキャスト · 2 人Max Freeman on Building Ramp’s Sales Machineゲスト Max Freeman · ホスト Harry StebbingsRamp’s sales leader explains how he hires, trains and equips sellers, from early outbound experiments to enterprise forecasting and AI-assisted research.SalesGo-to-MarketCompany Building+2
スライド 2 枚17:37EN
Matthew Berman· 2026年10月10日AI Coding, Game Mashups and the Value of Human TasteMatthew Berman · Forward FutureMatthew Berman explains decompilation and game mashups, then argues that iterative AI coding changes software and creativity.コーディングエージェントSoftware engineeringCreativity+1
スライド0:56EN
Matthew Berman· 2026年10月10日AI, Reverse Engineering and the Possibility of Custom SoftwareMatthew Berman · Forward FutureMatthew Berman explores AI-assisted recreations of creative software and imagines applications tailored to individual needs. The legal and practical claims require more nuance.コーディングエージェントSoftware engineeringOpen-source ecosystems+1
スライド 8 枚47:40EN
Theo - t3․gg· 2026年10月10日How Theo Used AI Agents to Port TypeScript to RustTheo Browne · Ping LabsThe TS Rust experiment combines a Go-to-Rust compiler port, subscription-based agent work and a prototype developer loop inside a V8 isolate.コーディングエージェントDeveloper productivitySoftware engineering
2:00:51EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月10日ポッドキャストResample Every Token and You Can Watch the Model Decideホスト Nathan LabenzGoodfire's Eric Bigelow on forking paths, in-context learning, and why chain-of-thought monitoring is getting harder to trust.エージェントPrompting & in-context learningReasoning & test-time compute+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
スライド 8 枚41:10EN
Theo - t3․gg· 2026年10月9日Haiku 5.5: Where a Cheaper Small Model Helps Coding AgentsTheo Browne · Ping LabsTheo Browne examines Haiku 5.5 pricing, benchmark results and practical tests, including a failed pull-request audit.コーディングエージェントAI cost & performanceモデルと学習
1:26:46EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月8日ポッドキャストThere Likely Is a Level of Intelligence We Shouldn't Go Pastホスト Nathan LabenzNathan Labenz brings notes from The Curve, a chip startup whose token bill beat payroll, and a software industry that now performance-reviews people for Claude slop.企業と戦略安全性とガバナンスAGI Timelines+3
スライド 2 枚0:33EN
Matthew Berman· 2026年10月8日Mistral Large 4’s Rubik’s Cube Simulation Fails a Functionality TestMatthew Berman · Forward FutureMatthew Berman tests a generated Rubik’s Cube simulation and finds that scrambling and color handling fail in different iterations.評価(Evals)コーディングエージェントSoftware engineering
1:15:51EN
20VC with Harry Stebbings· 2026年10月8日ポッドキャスト · 4 人The AI Race, Founder Loyalty and the New Rules of Enterprise Softwareゲスト Dev Ittycheria, Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Dev Ittycheria, Jason Lemkin and Rory O’Driscoll debate model competition, startup exits and what happens when AI agents choose vendors.エンタープライズ AIFoundation ModelsStartups+2
スライド 6 枚33:33EN
Theo - t3․gg· 2026年10月7日Is the $200 Codex Plan Still Worth It?Theo Browne · Ping LabsTheo Browne compares subscription usage, API-equivalent estimates, model efficiency and the cost of Ultrafast.コーディングエージェントAI cost & performanceモデルと学習
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