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2:17:48EN
Cognitive Revolution "How AI Changes Everything"· 2026년 10월 14일팟캐스트Agent IDs Are Empty, Rogue Agents Are Coming, and We Might Have to Bargain진행자 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.에이전트안전과 거버넌스AI security+3
슬라이드 7장38:30EN
Theo - t3․gg· 2026년 10월 14일Theo 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.Gemini코딩 에이전트평가(Evals)+2
슬라이드 5장12:14EN
Matthew Berman· 2026년 10월 14일Gemini 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.GeminiBenchmarks코딩 에이전트+1
슬라이드 5장10:36EN
Matthew Berman· 2026년 10월 13일Meta 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.모델과 학습BenchmarksAI cost & performance+1
1:08:02EN
Sequoia Capital· 2026년 10월 13일팟캐스트AlphaGo 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.모델과 학습Reinforcement LearningRL environments & simulators+3
슬라이드 8장38:02EN
Theo - t3․gg· 2026년 10월 13일Meta’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.코딩 에이전트AI cost & performance모델과 학습
슬라이드 2장0:36EN
Matthew Berman· 2026년 10월 13일OpenAI 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.보안과 안전OpenAIPrivacy & data governance
슬라이드 7장18:18EN
Theo - t3․gg· 2026년 10월 12일Why 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 & performance코딩 에이전트모델과 학습
58:54EN
20VC with Harry Stebbings· 2026년 10월 12일팟캐스트 · 2명Mike Cannon-Brookes on AI Agents, Enterprise Context and the Future of Interfaces게스트 Mike Cannon-Brookes · 진행자 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 design엔터프라이즈 AIAI agents+2
0:23EN
Theo - t3․gg· 2026년 10월 12일Why 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.코딩 에이전트AI cost & performance
0:35EN
Matthew Berman· 2026년 10월 12일Why 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· 2026년 10월 12일Matthew 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.코딩 에이전트Software engineering
슬라이드 3장31:00EN
AI Explained· 2026년 10월 12일Why 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· 2026년 10월 10일팟캐스트 · 2명Max Freeman on Building Ramp’s Sales Machine게스트 Max Freeman · 진행자 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
슬라이드 2장17:37EN
Matthew Berman· 2026년 10월 10일AI 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.코딩 에이전트Software engineeringCreativity+1
슬라이드0:56EN
Matthew Berman· 2026년 10월 10일AI, 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.코딩 에이전트Software engineeringOpen-source ecosystems+1
슬라이드 8장47:40EN
Theo - t3․gg· 2026년 10월 10일How 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.코딩 에이전트Developer productivitySoftware engineering
2:00:51EN
Cognitive Revolution "How AI Changes Everything"· 2026년 10월 10일팟캐스트Resample Every Token and You Can Watch the Model Decide진행자 Nathan LabenzGoodfire's Eric Bigelow on forking paths, in-context learning, and why chain-of-thought monitoring is getting harder to trust.에이전트Prompting & in-context learningReasoning & test-time compute+3
1:09:44EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 9일팟캐스트 · 2명10,000 GB300s for Four Weeks: Reflection’s Open-Model Ledger진행자 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.오픈소스와 커뮤니티Open-weight modelsReinforcement Learning+3
슬라이드 8장41:10EN
Theo - t3․gg· 2026년 10월 9일Haiku 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.코딩 에이전트AI cost & performance모델과 학습
1:26:46EN
Cognitive Revolution "How AI Changes Everything"· 2026년 10월 8일팟캐스트There Likely Is a Level of Intelligence We Shouldn't Go Past진행자 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.기업과 전략안전과 거버넌스AGI Timelines+3
슬라이드 2장0:33EN
Matthew Berman· 2026년 10월 8일Mistral 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.평가(Evals)코딩 에이전트Software engineering
1:15:51EN
20VC with Harry Stebbings· 2026년 10월 8일팟캐스트 · 4명The AI Race, Founder Loyalty and the New Rules of Enterprise Software게스트 Dev Ittycheria, Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Dev Ittycheria, Jason Lemkin and Rory O’Driscoll debate model competition, startup exits and what happens when AI agents choose vendors.엔터프라이즈 AIFoundation ModelsStartups+2
슬라이드 6장33:33EN
Theo - t3․gg· 2026년 10월 7일Is 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.코딩 에이전트AI cost & performance모델과 학습
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