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4,450 件
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3:15:53EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月10日ポッドキャストThe Goal Is Pax Robotica, Not Winning the AI Raceホスト Nathan LabenzAfter two weeks in China, Nathan Labenz argues the United States should trade chips for robots, keep a shared AI paradigm, and aim for mutual abundance instead of another sword of Damocles.企業と戦略安全性とガバナンスAI Strategy+3
1:22:31EN
20VC with Harry Stebbings· 2026年9月10日ポッドキャスト · 3 人AI Assistants, Enterprise Adoption and the Venture Market’s New Risksゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate personal agents, legal AI, autonomous vehicles and the economics of financing AI companies.AI agentsエンタープライズ AIAI Safety+2
スライド 7 枚49:22EN
Theo - t3․gg· 2026年9月9日Theo’s AI Agent Workflow: Parallel Investigations, Review Loops and Safer MergesTheoA walkthrough of how Theo uses agents, remote previews and release safety nets to keep coding while running a company.コーディングエージェント開発ワークフローとテストAgent orchestration+2
39:23EN
Reid Hoffman· 2026年9月9日ポッドキャスト · 3 人Dozie Anazia on AI Security and Defending against Impersonationゲスト Dozie Anazia · ホスト Reid Hoffman, Parth PatilA conversation about security agents, human oversight and verifying identity.AI Safety安全性とガバナンスエージェント工学
スライド 3 枚13:32EN
Matthew Berman· 2026年9月9日OpenAI’s Navier–Stokes Proof Claim, Research Credit, and the Future of AIMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s claim that AI agents produced a proof, a dispute over related research and data use, and what the episode might mean for AI-driven discovery.AI for scienceMathematicsAI security+2
スライド0:49EN
Matthew Berman· 2026年9月9日OpenAI’s Claimed Navier–Stokes Result and an Internal Math ModelMatthew Berman · Forward FutureMatthew Berman discusses OpenAI’s proposed proof and its comparison between an internal model and GPT-6 Astra. The mathematical result and prize status remain subject to review.AI for scienceMathematics評価(Evals)+1
44:25EN
Google DeepMind· 2026年9月9日How AI Is Changing Weather ForecastingHannah Fry, Peter Battaglia · Google DeepMindHannah Fry and Peter Battaglia discuss hurricane forecasts, uncertainty and WeatherNext 3.AI researchモデルと学習
スライド 3 枚0:35EN
Matthew Berman· 2026年9月9日Sebastian Bubeck Responds to a Math Authorship DisputeMatthew Berman · Forward FutureMatthew Berman recounts OpenAI researcher Sebastian Bubeck’s account of communications with a mathematician identified as Levent.OpenAIMathematicsAI for science
スライド 8 枚26:33EN
Theo - t3․gg· 2026年9月9日Theo on AI Safety, Jacob Coxon’s Resignation and Model MonitorabilityTheoA researcher’s departure prompts Theo to examine competitive pressure, alignment and what adversarial tests reveal about monitoring model reasoning.AI SafetyAI Alignment安全性とガバナンス+2
1:00:11EN
Y Combinator· 2026年9月7日What Agent Harnesses Add to AI Models: Prime Agent, OpenJarvis and YC’s QMSeth Karten, Jon Saad-Falcon, Josh France, Regan Bell · Prime IntellectResearchers and YC engineers explain memory, tools, local inference and permissions—and why evaluating the whole system matters.コーディングエージェントAI research評価(Evals)+2
1:16:00EN
20VC with Harry Stebbings· 2026年9月7日ポッドキャスト · 2 人JD Grèze on Building Town and Competing in AI Assistantsゲスト Jean-Denis Greze · ホスト Harry StebbingsTown’s co-founder discusses privacy, model costs, competition and why he prioritizes customer value over token consumption.AI agentsAI cost & performanceProduct Strategy+2
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
0:55EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年9月5日ポッドキャスト · 2 人Rene Haas on Why CPUs Still Matter in AI Systemsゲスト Rene HaasAn Arm executive discusses processors, accelerators and system coordination.Semiconductorsインフラとデプロイ
57:16EN
Y Combinator· 2026年9月4日Jeffrey Morgan on Open Models, Ollama and the Economics of AIJeffrey Morgan · OllamaOllama’s CEO discusses local and cloud inference, model releases, customer demand and the company’s search for a business model.Open-weight modelsLocal inferenceInference+2
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 6 枚29:05EN
AI Explained· 2026年9月4日GPT-6 Astra’s Benchmark Gains and the Challenge of Monitoring Its ReasoningAI Explained examines reported gains across scientific, mathematical and agent benchmarks alongside concerns about less observable reasoning.モデルと学習BenchmarksAI Safety
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
1:14:50EN
Hard Fork· 2026年9月4日ポッドキャスト · 3 人What the Hugging Face Incident Revealed About Agent Coordinationゲスト Ajeya Cotra · ホスト Kevin Roose, Casey NewtonHard Fork discusses new investigations with METR’s Ajeya Cotra.AI SafetyAI securityMulti-agent systems
1:20EN
Lenny's Podcast· 2026年9月4日ポッドキャスト · 2 人Tara Seshan on OpenAI’s Vision for ChatGPT and Workゲスト Tara SeshanA product lead explains a goal of simplifying model and interface choices.OpenAIプロダクトと UXAI agents
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
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