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4,449 件
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スライド 8 枚40:14EN
Theo - t3․gg· 2026年9月23日Opus 5.5: Theo’s First Day with a New Coding ModelTheo Browne · T3Theo compares price, benchmarks, coding work and game demos while cautioning that his assessment rests on a single day of use.コーディングエージェントAI cost & performance評価(Evals)+2
39:35EN
Reid Hoffman· 2026年9月23日ポッドキャスト · 2 人Reid Hoffman on AI Warnings and a Dual Mandateホスト Aria Finger, Reid HoffmanA debate over risk, public benefits and the future of AI development.AI SafetyAI StrategyFuture of Work
スライド 4 枚31:59EN
Matthew Berman· 2026年9月23日Claude Opus 5.5: Benchmarks, Cost and Anthropic’s Approach to PacingMatthew Berman, Thariq · Forward FutureMatthew Berman reviews the release and speaks with Anthropic’s Thariq about daily workflows, evaluation and agent harnesses.AnthropicBenchmarksAI cost & performance+2
1:28:32EN
The Pragmatic Engineer· 2026年9月23日ポッドキャスト · 2 人Maggie Appleton on Design Engineering in the Age of Agentsゲスト Maggie Appleton · ホスト Gergely OroszSketches, live prototypes and human judgment in collaborative software design.プロダクトと UXSoftware engineeringエージェント工学
スライド 5 枚7:26EN
Matthew Berman· 2026年9月23日GPT-6 Sol and Luna: Price and Benchmark Trade-offsMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s September 2026 launch, comparing API prices and reported agent benchmarks with larger models.OpenAIAI cost & performanceBenchmarks+2
1:53:13EN
Machine Learning Street Talk· 2026年9月23日ポッドキャスト · 2 人Frank Hutter on TabPFN: Learning to Predict from Tablesゲスト Frank Hutter · ホスト Tim ScarfeA discussion of synthetic priors, Bayesian prediction and causal limits.Machine LearningFoundation ModelsData quality & curation
25:30EN
All-In Podcast· 2026年9月23日ポッドキャスト · 3 人Luca Ferrari on Buying Product-Market Fit and Building Bending Spoonsゲスト Luca Ferrari · ホスト Chamath Palihapitiya, Jason CalacanisThe CEO explains the company’s $40,000 beginning, shared technology platform, acquisition criteria and approach to financing.Acquisition StrategyCompany BuildingProduct Strategy+1
スライド 7 枚27:53EN
Theo - t3․gg· 2026年9月22日Grok 4.7: Strong Codebase Investigation, Uneven ValueTheo Browne · T3Theo compares launch claims, token costs, benchmarks and his own codebase and game tests, finding useful review behavior alongside significant tradeoffs.コーディングエージェントAI cost & performance評価(Evals)+2
スライド 38 枚1:01:33EN
DeepLearningAI· 2026年9月22日Spec-Driven Development with Coding Agents: Write the Spec, Let the Agent BuildAndrew Ng, Paul Everitt · DeepLearning.AIJetBrains developer advocate Paul Everitt walks through a full spec-driven workflow: a project constitution, feature loops of plan–implement–validate, and agent skills that travel across tools. The alternative to vibe coding is a markdown contract the agent cannot forget.コーディングエージェントAgent skills開発ワークフローとテスト+2
0:52EN
Matthew Berman· 2026年9月22日Matthew Berman’s Three Sleep Habits and Eight Sleep PodMatthew Berman · Forward FutureBerman describes keeping the bed cool, waking consistently and tracking sleep, while promoting a temperature-adjusting mattress system.Personal GrowthProductivity
スライド 5 枚16:57EN
Matthew Berman· 2026年9月22日Grok 4.7 Compared: Coding, Knowledge Work and Cost per TaskMatthew Berman · Forward FutureMatthew Berman examines reported benchmarks and prices while noting missing competitors and limited hands-on testing.BenchmarksAI cost & performanceコーディングエージェント+1
38:51EN
How I AI· 2026年9月22日ポッドキャストClaire Vo’s Blind Test of AI Models for Product WorkA live comparison of writing, prototypes, agents and creative tasks.評価(Evals)プロダクトと UXモデルと学習
スライド 8 枚1:59:37EN
Matthew Berman· 2026年9月22日Opus 5.5 and GPT-6 Sol and Luna: A Launch-Day LivestreamMatthew Berman, Thariq Shihipar, Alex, Brian · Forward FutureMatthew Berman interviews Anthropic’s Thariq Shihipar, shows early demos and then reviews two OpenAI models announced during the stream.コーディングエージェントAI cost & performance評価(Evals)+2
スライド 10 枚41:32EN
Theo - t3․gg· 2026年9月22日Using Fable 5.1 for Longer Coding TasksTheo Browne · T3Theo Browne shares how he prompts coding agents, sets end states and uses reviews and tests to support longer-running work.コーディングエージェントPrompt optimization開発ワークフローとテスト+2
スライド0:23EN
Theo - t3․gg· 2026年9月21日Why AI Safety Evaluators Need More Than a Black BoxTheo Browne · T3Theo Browne explains a proposal to give outside evaluators employee-like access inside AI companies.AI Safety安全性とガバナンス評価(Evals)
スライド 2 枚0:37EN
Matthew Berman· 2026年9月21日A Fruit-Fly Connectome, Online Simulations and Questions About ExperienceMatthew Berman · Forward FutureMatthew Berman shows playful simulated-fly demonstrations and asks whether a future complete simulation could suffer. A neural wiring map and those demonstrations do not establish a conscious digital animal.Neuroscience & AIConsciousnessSimulation Hypothesis
1:19:04EN
20VC with Harry Stebbings· 2026年9月21日ポッドキャスト · 2 人Daniel Dines on AI Agents, Enterprise Work and the Limits of Automationゲスト Daniel Dines · ホスト Harry StebbingsThe UiPath co-founder argues that companies need a map of work and reliable automation alongside AI, while Harry Stebbings challenges his assumptions about how fast jobs will change.エンタープライズ AIWorkflow automationAI agents+2
スライド 10 枚30:29EN
Theo - t3․gg· 2026年9月21日Jev: A Fast Classifier for Structured DecisionsTheo Browne · T3Theo Browne explores Typesafe AI’s Jev through classification, game and developer-workflow demos, and explains where he thinks a reasoning model is still needed.Structured outputsModel routing & gatewaysコーディングエージェント+2
スライド 2 枚0:51EN
Matthew Berman· 2026年9月21日Jev Demos: Fast AI for Search, Classification and BrowsingMatthew Berman · Forward FutureMatthew Berman highlights a collection of community-built demonstrations using Jev.AI agentsプロダクトと UXWorkflow automation
2:14:20EN
Machine Learning Street Talk· 2026年9月21日ポッドキャスト · 2 人Alexander Mattick on Inference, Constraints and World Modelsゲスト Alexander Mattick · ホスト Tim ScarfeWhy generative modeling, reinforcement learning and robotics all depend on assumptions and costs.AI researchモデルと学習AI cost & performance
0:24EN
Theo - t3․gg· 2026年9月19日Why Theo Worries About AI Harm Before ShutdownTheo Browne · T3Theo Browne argues that harmful effects could persist even after a system is switched off.AI Safetyセキュリティと安全性
1:40:36EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月19日ポッドキャストThe Labs Are Screaming: Internal Models Are a Generation Aheadホスト Nathan LabenzA week of Cognitive Revolution live shows on Dario Amodei's call to pace the frontier, a Trump–Xi deal that may not be needed, an AI store manager that fired a worker, and a new pain axis inside language models.セキュリティと安全性安全性とガバナンス評価(Evals)+3
1:19:54EN
20VC with Harry Stebbings· 2026年9月19日ポッドキャスト · 2 人Thomas Sohmers on AI Inference, Memory and Data-Center Growthゲスト Thomas Sohmers · ホスト Harry StebbingsPositron’s co-founder discusses the engineering economics of inference, his views on AI infrastructure and regulation, and the risks he sees in financing and concentration.InferenceSemiconductorsAI cost & performance+2
1:19:48EN
Hard Fork· 2026年9月18日ポッドキャスト · 2 人AI Safety, Regulation and a Hard Fork Farewellホスト Kevin Roose, Casey NewtonKevin Roose and Casey Newton discuss the debate and reflect on their show.AI SafetyAI RegulationAI Strategy
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