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7 diapositives27:53EN
Theo - t3․gg· 22 sept. 2026Grok 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.Agents de codeAI cost & performanceÉvaluations+2
38 diapositives1:01:33EN
DeepLearningAI· 22 sept. 2026Spec-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.Agents de codeAgent skillsWorkflows de développement et tests+2
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Matthew Berman· 22 sept. 2026Matthew 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
5 diapositives16:57EN
Matthew Berman· 22 sept. 2026Grok 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 & performanceAgents de code+1
38:51EN
How I AI· 22 sept. 2026PodcastClaire Vo’s Blind Test of AI Models for Product WorkA live comparison of writing, prototypes, agents and creative tasks.ÉvaluationsProduit et UXModèles et entraînement
8 diapositives1:59:37EN
Matthew Berman· 22 sept. 2026Opus 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.Agents de codeAI cost & performanceÉvaluations+2
10 diapositives41:32EN
Theo - t3․gg· 22 sept. 2026Using 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.Agents de codePrompt optimizationWorkflows de développement et tests+2
Diapositives0:23EN
Theo - t3․gg· 21 sept. 2026Why 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 SafetySécurité et gouvernanceÉvaluations
2 diapositives0:37EN
Matthew Berman· 21 sept. 2026A 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
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20VC with Harry Stebbings· 21 sept. 2026Podcast · 2 voixDaniel Dines on AI Agents, Enterprise Work and the Limits of AutomationInvité : Daniel Dines · Anime : 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.IA en entrepriseWorkflow automationAI agents+2
10 diapositives30:29EN
Theo - t3․gg· 21 sept. 2026Jev: 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 & gatewaysAgents de code+2
2 diapositives0:51EN
Matthew Berman· 21 sept. 2026Jev Demos: Fast AI for Search, Classification and BrowsingMatthew Berman · Forward FutureMatthew Berman highlights a collection of community-built demonstrations using Jev.AI agentsProduit et UXWorkflow automation
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Machine Learning Street Talk· 21 sept. 2026Podcast · 2 voixAlexander Mattick on Inference, Constraints and World ModelsInvité : Alexander Mattick · Anime : Tim ScarfeWhy generative modeling, reinforcement learning and robotics all depend on assumptions and costs.AI researchModèles et entraînementAI cost & performance
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Theo - t3․gg· 19 sept. 2026Why Theo Worries About AI Harm Before ShutdownTheo Browne · T3Theo Browne argues that harmful effects could persist even after a system is switched off.AI SafetySécurité
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Cognitive Revolution "How AI Changes Everything"· 19 sept. 2026PodcastThe Labs Are Screaming: Internal Models Are a Generation AheadAnime : 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.SécuritéSécurité et gouvernanceÉvaluations+3
1:19:54EN
20VC with Harry Stebbings· 19 sept. 2026Podcast · 2 voixThomas Sohmers on AI Inference, Memory and Data-Center GrowthInvité : Thomas Sohmers · Anime : 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
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Hard Fork· 18 sept. 2026Podcast · 2 voixAI Safety, Regulation and a Hard Fork FarewellAnime : Kevin Roose, Casey NewtonKevin Roose and Casey Newton discuss the debate and reflect on their show.AI SafetyAI RegulationAI Strategy
2 diapositives0:22EN
Matthew Berman· 18 sept. 2026A Needle-in-a-Haystack Game, One Piece at a TimeMatthew Berman · Forward FutureMatthew Berman shows a game he says hides one needle among five million pieces of hay and jokes about searching it on a 48-hour livestream.Vibe CodingGenerative mediaCreativity
4 diapositives27:09EN
Theo - t3․gg· 18 sept. 2026Why Theo Values Reliable Coding Agents Over Peak PerformanceTheo Browne · T3Theo Browne argues that a model’s weakest moments matter when a coding task stretches from investigation through testing and review.Agents de codeDeveloper productivityAI cost & performance+2
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Matthew Berman· 18 sept. 2026NVIDIA PAIR Routes Local AI Requests Across ComputersMatthew Berman · Forward FutureMatthew Berman demonstrates NVIDIA's local-network router for distributing AI inference work among compatible machines.Local inferenceInfrastructure et déploiementAI agents
29 diapositives51:55EN
3Blue1Brown· 18 sept. 2026The last IMO problem AI could not solveGrant Sanderson · 3Blue1BrownGrant Sanderson walks through IMO 2025 Problem 6 — a tiling puzzle that frontier models missed — and the visual patience it takes to prove a construction is optimal.MathematicsAI researchReasoning & test-time compute+2
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No Priors: AI, Machine Learning, Tech, & Startups· 18 sept. 2026Podcast · 2 voixDiffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom SiliconAnime : Sarah Guo, Elad GilThe Stanford diffusion pioneer tells No Priors why a 50-person lab is training language models that generate many tokens at once — and why that maps to GPUs the way transformers once mapped to training.Modèles et entraînementInferenceAI cost & performance+3
2 diapositives0:22EN
Theo - t3․gg· 18 sept. 2026AI Leaders Express Support for Slowing the FrontierTheo Browne · T3Theo Browne discusses public responses to Dario Amodei’s proposal for independent AI evaluators.AI SafetySécurité et gouvernance
5 diapositives12:31EN
Matthew Berman· 18 sept. 2026Jev's Fast Decisions: Demos, Tradeoffs and Reliability ClaimsMatthew Berman · Forward FutureMatthew Berman explores a decision-oriented AI model through routing, simulated worlds, chess and game-control examples.AI agentsAI cost & performanceÉvaluations et observabilité+1
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