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31:59EN
Matthew Berman· 23 sept. 2026Claude 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.
1:28:32EN
The Pragmatic Engineer· 23 sept. 2026Podcast · 2 voixMaggie Appleton on Design Engineering in the Age of AgentsInvité : Maggie Appleton · Anime : Gergely OroszSketches, live prototypes and human judgment in collaborative software design.
7:26ENMatthew Berman· 23 sept. 2026GPT-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.
1:53:13EN
Machine Learning Street Talk· 23 sept. 2026Podcast · 2 voixFrank Hutter on TabPFN: Learning to Predict from TablesInvité : Frank Hutter · Anime : Tim ScarfeA discussion of synthetic priors, Bayesian prediction and causal limits.
25:30EN
All-In Podcast· 23 sept. 2026Podcast · 3 voixLuca Ferrari on Buying Product-Market Fit and Building Bending SpoonsInvité : Luca Ferrari · Anime : Chamath Palihapitiya, Jason CalacanisThe CEO explains the company’s $40,000 beginning, shared technology platform, acquisition criteria and approach to financing.
27:53EN
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.
1:01:33EN
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.
0:52ENMatthew 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.
16:57ENMatthew 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.
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.
1:59:37ENMatthew 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.
41:32ENTheo - 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.
0:23ENTheo - 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.
0:37ENMatthew 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.
1:19:04EN
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.
30:29ENTheo - 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.
0:51ENMatthew 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.
2:14:20ENMachine 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.
0:24ENTheo - 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.
1:40:36EN
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.
1:19:54EN20VC 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.
1:19:48EN
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.
0:22ENMatthew 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.
27:09ENTheo - 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.Charger plus24 sur 4 445 affichés