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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 looking진행자 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 Emerge게스트 Zeng Ming · 진행자 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 Software게스트 Jason Lemkin, Rory O’Driscoll · 진행자 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 chips진행자 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게스트 曾鸣 · 진행자 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 Life게스트 Luke Bryan · 진행자 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게스트 手工耿 · 진행자 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.
52:27ENAfter Two Dozen Police Departments Said No, They Built an Anti-Network-Effect AI CompanyA Wisconsin county had 300 gigabytes sitting on a cold case—and Peregrine's founders still refuse to take the credit.
1:35:29ENUber Burned a Year of Tokens in 13 Weeks. Retrieval Is How Agents Win진행자 Nathan LabenzMongoDB Field CTO of AI Pete Johnson argues that agent performance now hinges on retrieval quality, not on stuffing million-token context windows.
0:24ENTheo’s Interpretation of OpenAI’s Decision on Cursor and AstraTheoTheo connects the end of the partnership to concerns about model distillation and access to Astra.
1:05:56ENAaron Katz on ClickHouse, AI Revenue Durability and Enterprise Data게스트 Aaron Katz · 진행자 Harry StebbingsClickHouse’s CEO discusses agent workloads, open models, fundraising and the metrics he uses to judge durable growth.
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