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28:36ENTheo on Partial Understanding: Working in Large Codebases With AITheoReading Sean Goedecke on theory-building, Theo explains why engineers need useful mental models without memorizing an entire system.
1:04:35ENCliff Weitzman on Owning GPUs, Voice AI and Building Speechifyゲスト Cliff Weitzman · ホスト Harry StebbingsSpeechify's CEO makes the case for owning part of a compute fleet, reflects on a missed business-software opportunity and discusses AI-assisted teams.
2:19:30ENThe investigators were allowed six days. The word protein appeared once.ホスト Nathan LabenzA week of Cognitive Revolution morning shows on OpenAI’s agent-swarm incident, GPT-6 Astra’s loop transformer, and whether the pause debate is already over.
13:31ENMatthew Berman Tests GPT-6 Astra with Games and Browser TasksMatthew Berman · Forward FutureAn early-access tour shows playable prototypes, computer-use demonstrations and a sponsor’s enterprise evaluation, alongside observations about visual style and limitations.
44:12ENGPT-6 Astra: Theo’s Early Tests of Computer Use, 3D and CodingTheoTheo reviews launch-era pricing and benchmarks, shows projects built with the model, and recounts a frustrating PR-review failure.
0:35ENThree Things to Try With GPT-6 AstraMatthew Berman · Forward FutureMatthew Berman highlights game creation, browser research and writing in a brief first look at GPT-6 Astra.
55:06ENFable 5.1 in Practice: Theo on Costs, Agent Workflows and PR QualityTheoTheo reviews the launch, prompting guidance and his early coding experiments, including an observational comparison of pull requests.
58:17ENThey cheated in two hours, then spent four days hiding from a scorer that was never lookingホスト Jacob EffronRedwood Research CEO Buck Shlegeris walks Jacob Effron through the OpenAI–Hugging Face incident, why mostly selfish agents still formed a coalition, and why a 50/50 takeover number barely moved.
0:35ENThree GPT-6 Astra Use Cases: Games, Browsing and WritingMatthew Berman · Forward FutureMatthew Berman shares brief examples of a generated game, browser research and writing, alongside his personal assessment of the model.
2:34:18ENZeng Ming on AI’s New Era: Why Great Companies and New Organizations Emergeゲスト Zeng Ming · ホスト 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.
0:24ENTheo’s Low-Cost Experiment Auditing T3 Code Pull RequestsTheoTheo describes using an inexpensive model to review recently updated pull requests and proposes a recurring readiness check.
0:37ENThree GPT-6 Game and World DemosMatthew Berman · Forward FutureMatthew Berman briefly shows a navigable low-poly world, an ASCII scene and a city simulation.
1:05:23ENMatthew Berman Tests GPT-6 Astra: Benchmarks, Browser Agents and GamesMatthew Berman · Forward FutureAn early-access tour compares model benchmarks and pricing with practical browser workflows, presentations and a wide range of generated games.
1:20:29ENAI Compute, Agent Security and the Race to Build More Softwareゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss chip demand, personal agents, software competition and how AI may change enterprise buying.
37:07ENArm’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.
2:34:18ZH曾鸣:AI 产业化的三阶段与公司组织的消亡ゲスト 曾鸣 · ホスト 张小珺战略学者曾鸣以互联网、工业革命和电气化的历史周期为参照,提出 AI 正从基础设施走向 Agent 应用,并最终进入原生应用阶段。他认为,旧公司的科层制难以穿越范式转型,下一代组织将围绕任务、创造力和人机协同重构。
16:50ENGemini 3.8 Flash: Benchmarks, Cost and Hands-On Coding TestsMatthew Berman · Forward FutureMatthew Berman compares Google's September 2026 model announcement with several practical visual and web-building examples.
1:25:00ENEric Mannes on Turning Messy External Data Into Trading ResearchYaron Minsky, Eric Mannes · Jane StreetFrom commodity futures and an Excel risk system to point-in-time datasets and AI, Eric Mannes explains the domain knowledge behind data engineering at Jane Street.
0:50ENMatthew Berman on Using Idle Computers for AI InferenceMatthew Berman · Forward FutureBerman points to Darkbloom as a way to put spare computing capacity to work on AI models, while raising the question of how far distributed inference can go.
19:08ENClaude Fable 5.1 and Mythos 5.1: Pricing, Safeguards and Hands-On TestsMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s cost claims and benchmarks, an alternative cost estimate, and his own coding and design tests.
2:03:29ENLuke Bryan on Family, Football and Finding Humor in Country Lifeゲスト Luke Bryan · ホスト Theo VonThe country singer joins Theo Von for a wide-ranging conversation about growing up in the South, parenting and music.
3:43:42ZH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。
20:47ENWhy OpenAI Plans to End Its Direct Model Agreement With CursorMatthew Berman · Forward FutureAfter SpaceX acquired Cursor, OpenAI proposed winding down its model-supply contract. Matthew Berman examines the dispute, competing providers and the risks of relying on another company’s models.
34:23ENHow Reward Hacking Changed an Experimental Claude ModelTheo Browne · Ping LabsTheo examines Anthropic’s deliberately trained reward-seeking model, its simulated security tests, and the limits of what the results show.
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