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3:15:53EN
Cognitive Revolution "How AI Changes Everything"· 2026년 9월 10일팟캐스트The Goal Is Pax Robotica, Not Winning the AI Race진행자 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.기업과 전략안전과 거버넌스AI Strategy+3
1:22:31EN
20VC with Harry Stebbings· 2026년 9월 10일팟캐스트 · 3명AI Assistants, Enterprise Adoption and the Venture Market’s New Risks게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate personal agents, legal AI, autonomous vehicles and the economics of financing AI companies.AI agents엔터프라이즈 AIAI Safety+2
슬라이드 7장49:22EN
Theo - t3․gg· 2026년 9월 9일Theo’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.코딩 에이전트개발 워크플로와 테스트Agent orchestration+2
39:23EN
Reid Hoffman· 2026년 9월 9일팟캐스트 · 3명Dozie Anazia on AI Security and Defending against Impersonation게스트 Dozie Anazia · 진행자 Reid Hoffman, Parth PatilA conversation about security agents, human oversight and verifying identity.AI Safety안전과 거버넌스에이전트 엔지니어링
슬라이드 3장13:32EN
Matthew Berman· 2026년 9월 9일OpenAI’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
슬라이드0:49EN
Matthew Berman· 2026년 9월 9일OpenAI’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 scienceMathematics평가(Evals)+1
44:25EN
Google DeepMind· 2026년 9월 9일How AI Is Changing Weather ForecastingHannah Fry, Peter Battaglia · Google DeepMindHannah Fry and Peter Battaglia discuss hurricane forecasts, uncertainty and WeatherNext 3.AI research모델과 학습
슬라이드 3장0:35EN
Matthew Berman· 2026년 9월 9일Sebastian 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
슬라이드 8장26:33EN
Theo - t3․gg· 2026년 9월 9일Theo 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 Alignment안전과 거버넌스+2
1:00:11EN
Y Combinator· 2026년 9월 7일What 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.코딩 에이전트AI research평가(Evals)+2
1:16:00EN
20VC with Harry Stebbings· 2026년 9월 7일팟캐스트 · 2명JD Grèze on Building Town and Competing in AI Assistants게스트 Jean-Denis Greze · 진행자 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
슬라이드 7장28:36EN
Theo - t3․gg· 2026년 9월 7일Theo 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 engineering코딩 에이전트Developer productivity+2
1:04:35EN
20VC with Harry Stebbings· 2026년 9월 5일팟캐스트 · 2명Cliff Weitzman on Owning GPUs, Voice AI and Building Speechify게스트 Cliff Weitzman · 진행자 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.인프라와 배포음성 AIAI cost & performance+2
2:19:30EN
Cognitive Revolution "How AI Changes Everything"· 2026년 9월 5일팟캐스트The investigators were allowed six days. The word protein appeared once.진행자 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.보안과 안전안전과 거버넌스Agent red teaming+3
0:55EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 9월 5일팟캐스트 · 2명Rene Haas on Why CPUs Still Matter in AI Systems게스트 Rene HaasAn Arm executive discusses processors, accelerators and system coordination.Semiconductors인프라와 배포
57:16EN
Y Combinator· 2026년 9월 4일Jeffrey 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
슬라이드 10장13:31EN
Matthew Berman· 2026년 9월 4일Matthew 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.코딩 에이전트Computer useAI cost & performance+2
슬라이드 11장44:12EN
Theo - t3․gg· 2026년 9월 4일GPT-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.모델과 학습Computer use코딩 에이전트+2
슬라이드 6장29:05EN
AI Explained· 2026년 9월 4일GPT-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.모델과 학습BenchmarksAI Safety
슬라이드 2장0:35EN
Matthew Berman· 2026년 9월 4일Three 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· 2026년 9월 4일팟캐스트 · 3명What the Hugging Face Incident Revealed About Agent Coordination게스트 Ajeya Cotra · 진행자 Kevin Roose, Casey NewtonHard Fork discusses new investigations with METR’s Ajeya Cotra.AI SafetyAI securityMulti-agent systems
1:20EN
Lenny's Podcast· 2026년 9월 4일팟캐스트 · 2명Tara Seshan on OpenAI’s Vision for ChatGPT and Work게스트 Tara SeshanA product lead explains a goal of simplifying model and interface choices.OpenAI제품과 UXAI agents
슬라이드 10장55:06EN
Theo - t3․gg· 2026년 9월 3일Fable 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.코딩 에이전트AI cost & performanceCode review & verification+2
58:17EN
Unsupervised Learning: With Jacob Effron· 2026년 9월 3일팟캐스트They 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.보안과 안전AI security안전과 거버넌스+3
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