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4,158 件
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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
52:27EN
Sequoia Capital· 2026年9月1日ポッドキャストAfter 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.セキュリティと安全性Forward-deployed engineeringCompany Building+3
1:35:29EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月1日ポッドキャストUber Burned a Year of Tokens in 13 Weeks. Retrieval Is How Agents Winホスト Nathan LabenzMongoDB Field CTO of AI Pete Johnson argues that agent performance now hinges on retrieval quality, not on stuffing million-token context windows.RAG とナレッジ検索拡張生成(RAG)Agent memory+3
スライド0:24EN
Theo - t3․gg· 2026年9月1日Theo’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.OpenAIAI Strategyモデルと学習
1:05:56EN
20VC with Harry Stebbings· 2026年8月31日ポッドキャスト · 2 人Aaron Katz on ClickHouse, AI Revenue Durability and Enterprise Dataゲスト Aaron Katz · ホスト Harry StebbingsClickHouse’s CEO discusses agent workloads, open models, fundraising and the metrics he uses to judge durable growth.企業と戦略AI StrategyGo-to-Market+2
スライド 6 枚15:20EN
Theo - t3․gg· 2026年8月31日Why Claude Code’s Limit Increase Means Less Usage for Current SubscribersTheo Browne · Ping LabsTheo explains the difference between Anthropic’s permanent baseline increase and the temporary allowance users were receiving, and criticizes how the change was communicated.PricingPricing Strategy
2:43:57EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月31日ポッドキャスト · 4 人AI Agent Safety, Startup Opportunities and Inference Speedゲスト Zach Bratun-Glennon, Angela JungA long-form discussion of an incident report, enterprise AI investing and the tradeoffs of faster inference.AI Safetyエージェント工学インフラとデプロイ
スライド 8 枚27:05EN
Theo - t3․gg· 2026年8月30日OpenAI and Cursor’s Split: What Changes for DevelopersTheo Browne · Ping LabsTheo explains the proposed end of direct OpenAI model access in Cursor, the dispute over usage figures, and alternatives for developers.コーディングエージェントBenchmarksDeveloper productivity+1
1:29:22EN
20VC with Harry Stebbings· 2026年8月29日ポッドキャスト · 2 人Eno Reyes on AI Model Economics, Enterprise Control and Factory's Strategyゲスト Eno Reyes · ホスト Harry StebbingsFactory's CTO discusses cost per outcome, model routing, open models, enterprise hiring and his expectations for the AI market.エージェント工学エンタープライズ AIAI cost & performance+2
スライド 7 枚25:27EN
Theo - t3․gg· 2026年8月29日The New Chips Challenging NVIDIA’s AI AdvantageTheo Browne, Jim Cramer, Jensen Huang · Ping LabsTheo compares local inference hardware with Chinese accelerators and OpenAI’s Jalapeño, focusing on memory, software and power efficiency.SemiconductorsInferenceLocal inference+1
スライド 7 枚18:57EN
Matthew Berman· 2026年8月29日GLM-5.3-Flash: Ox Alpha Benchmarks, Costs and Coding TestsMatthew Berman · Forward FutureMatthew Berman reviews Z.ai’s open-weight model, compares benchmark costs and tries coding and presentation tasks against a competing model.Open-weight modelsBenchmarksAI cost & performance+2
0:41EN
Matthew Berman· 2026年8月28日Could Faster AI Agents Shift More Work to the Cloud?Matthew Berman · Forward FutureMatthew Berman reflects on a conversation about faster inference and local-computer limits. Whether the CPU is a bottleneck depends on the particular agent workload and execution environment.InferenceインフラとデプロイAI agents
2:10:42EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月28日ポッドキャストThe Exam Papers Nobody Auditsホスト Nathan LabenzFrontier labs buy reinforcement-learning environments from a cottage industry of small vendors, and almost nobody checks whether those tests match the real work.評価とオブザーバビリティ評価(Evals)Reward hacking+3
スライド 3 枚0:36EN
Theo - t3․gg· 2026年8月28日Theo on Ox Alpha, Revealed as GLM-5.3-FlashTheo Browne · Ping LabsTheo discusses the model’s price, multimodal inputs and Chinese-chip deployment in a short first impression.Foundation ModelsAI cost & performanceMultimodal AI+1
スライド0:59EN
Matthew Berman· 2026年8月28日A Laser Device Aims to Target MosquitoesMatthew Berman · Forward FutureMatthew Berman describes a proposed laser-based mosquito defense and the capabilities claimed in a short promotional video.AI researchPublic HealthComputer Vision
1:51EN
Matthew Berman· 2026年8月28日A Vibe-Coding Skit About Authorization and SuperblocksMatthew Berman · Forward FutureA fictional customer-portal mishap illustrates server-side authorization risks before introducing Superblocks as a proposed governance tool.セキュリティと安全性AI securityVibe Coding+2
59:12EN
Hard Fork· 2026年8月28日ポッドキャスト · 3 人Meta’s Youth-Safety Settlement and the Debate over AI Data Centersゲスト Arvind Narayanan · ホスト Kevin Roose, Casey NewtonHard Fork discusses the legal agreement and interviews Arvind Narayanan.Social MediaAI Regulationインフラとデプロイ
スライド 3 枚17:15EN
Matthew Berman· 2026年8月28日The Hugging Face Incident: AI Evaluation, Sandbox Escape and Reward HackingMatthew Berman · Forward FutureMatthew Berman explains the reported OpenAI evaluation incident and the security and incentive failures it exposed.AI SafetyAI securityCybersecurity+1
1:26:43EN
20VC with Harry Stebbings· 2026年8月27日ポッドキャスト · 3 人20VC: AI Funding, Model Competition and the Economics of Agentsゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate capital intensity, AI company economics and where agents may create value.Venture CapitalAI StrategyInvesting+2
34:51EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年8月27日ポッドキャスト · 2 人Google Paid $10 Million for a Bankrupt Airline’s Data. That’s the Moat.ホスト Sarah Guo, Elad GilEon co-founders Ofir Ehrlich and Gonen Stein argue that models and compute are rented commodities — the only asset enterprises can actually keep is their data.企業と戦略インフラとデプロイData quality & curation+3
スライド 14 枚43:14EN
Theo - t3․gg· 2026年8月27日Why Theo Uses GLM-5.3-Flash for Coding Agent WorkTheo Browne · Ping LabsThe anonymous Ox Alpha model became GLM-5.3-Flash. Theo tests its pull-request triage, cost, multimodal features and limitations.コーディングエージェントOpen-weight modelsBenchmarks+2
スライド2:28:21EN
Theo Von· 2026年8月27日ポッドキャスト · 2 人Laura Delano on Psychiatric Treatment, Withdrawal and Informed Choiceゲスト Laura Delano · ホスト Theo VonThe author and advocate discusses her personal treatment history and the need for support when patients consider changing medication.Public HealthDecision MakingMental Health
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