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3,579 件
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スライド 7 枚28:36EN
Theo - t3․gg· 2026年9月7日Theo 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.Software engineeringコーディングエージェントDeveloper productivity+2
1:04:35EN
20VC with Harry Stebbings· 2026年9月5日ポッドキャスト · 2 人Cliff 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.インフラとデプロイ音声 AIAI cost & performance+2
2:19:30EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月5日ポッドキャストThe 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.セキュリティと安全性安全性とガバナンスAgent red teaming+3
スライド 10 枚13:31EN
Matthew Berman· 2026年9月4日Matthew 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.コーディングエージェントComputer useAI cost & performance+2
スライド 11 枚44:12EN
Theo - t3․gg· 2026年9月4日GPT-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.モデルと学習Computer useコーディングエージェント+2
スライド 2 枚0:35EN
Matthew Berman· 2026年9月4日Three 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.Computer useVibe CodingOpenAI
スライド 10 枚55:06EN
Theo - t3․gg· 2026年9月3日Fable 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.コーディングエージェントAI cost & performanceCode review & verification+2
58:17EN
Unsupervised Learning: With Jacob Effron· 2026年9月3日ポッドキャストThey 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.セキュリティと安全性AI security安全性とガバナンス+3
スライド 2 枚0:35EN
Matthew Berman· 2026年9月3日Three 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.Generative mediaComputer useコーディングエージェント+1
2:34:18EN
Zhang Xiaojun Podcast· 2026年9月3日ポッドキャスト · 2 人Zeng 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.AI Strategy企業と戦略エージェント+2
スライド 2 枚0:24EN
Theo - t3․gg· 2026年9月3日Theo’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.Code review & verificationコーディングエージェントAI cost & performance
スライド 3 枚0:37EN
Matthew Berman· 2026年9月3日Three GPT-6 Game and World DemosMatthew Berman · Forward FutureMatthew Berman briefly shows a navigable low-poly world, an ASCII scene and a city simulation.コーディングエージェントGenerative mediaVibe Coding
スライド 15 枚1:05:23EN
Matthew Berman· 2026年9月3日Matthew 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.OpenAIFoundation ModelsBenchmarks+2
1:20:29EN
20VC with Harry Stebbings· 2026年9月3日ポッドキャスト · 3 人AI 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.AI agentsInferenceAI security+2
37:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年9月3日ポッドキャスト · 2 人Arm’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.インフラとデプロイCompany BuildingAI Strategy+3
2:34:18ZH
Zhang Xiaojun Podcast· 2026年9月3日ポッドキャスト · 2 人曾鸣: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。AI StrategyStrategyエージェント+2
スライド 5 枚16:50EN
Matthew Berman· 2026年9月3日Gemini 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.GeminiBenchmarksAI cost & performance+2
1:25:00EN
Jane Street· 2026年9月2日Eric 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.Data quality & curation開発ワークフローとテストInvesting+2
0:50EN
Matthew Berman· 2026年9月2日Matthew 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.Distributed training & inferenceインフラとデプロイInference+2
スライド 9 枚19:08EN
Matthew Berman· 2026年9月1日Claude 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.Foundation ModelsBenchmarksAI cost & performance+2
スライド2:03:29EN
Theo Von· 2026年9月1日ポッドキャスト · 2 人Luke 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.Storytelling
スライド 3 枚3:43:42ZH
罗永浩的十字路口· 2026年9月1日ポッドキャスト · 2 人手工耿: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。CreativityCreator EconomyComedy+2
スライド 3 枚20:47EN
Matthew Berman· 2026年9月1日Why 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.コーディングエージェントAI securityAI Strategy+1
スライド 7 枚34:23EN
Theo - t3․gg· 2026年9月1日How 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.AI AlignmentAI SafetyAI security+1
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