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38 diapositivas1:01:33EN
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.Agentes de programaciónAgent skillsFlujos de desarrollo y pruebas+2
0:52EN
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 diapositivas16:57EN
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 & performanceAgentes de programación+1
38:51EN
How I AI· 22 sept 2026PódcastClaire Vo’s Blind Test of AI Models for Product WorkA live comparison of writing, prototypes, agents and creative tasks.EvaluacionesProducto y UXModelos y entrenamiento
8 diapositivas1:59:37EN
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.Agentes de programaciónAI cost & performanceEvaluaciones+2
10 diapositivas41:32EN
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.Agentes de programaciónPrompt optimizationFlujos de desarrollo y pruebas+2
Diapositivas0:23EN
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 SafetySeguridad y gobernanzaEvaluaciones
2 diapositivas0:37EN
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
1:19:04EN
20VC with Harry Stebbings· 21 sept 2026Pódcast · 2 vocesDaniel Dines on AI Agents, Enterprise Work and the Limits of AutomationInvitado: Daniel Dines · Presenta: 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 empresarialWorkflow automationAI agents+2
10 diapositivas30:29EN
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 & gatewaysAgentes de programación+2
2 diapositivas0:51EN
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 agentsProducto y UXWorkflow automation
2:14:20EN
Machine Learning Street Talk· 21 sept 2026Pódcast · 2 vocesAlexander Mattick on Inference, Constraints and World ModelsInvitado: Alexander Mattick · Presenta: Tim ScarfeWhy generative modeling, reinforcement learning and robotics all depend on assumptions and costs.AI researchModelos y entrenamientoAI cost & performance
0:24EN
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 SafetySeguridad
1:40:36EN
Cognitive Revolution "How AI Changes Everything"· 19 sept 2026PódcastThe Labs Are Screaming: Internal Models Are a Generation AheadPresenta: 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.SeguridadSeguridad y gobernanzaEvaluaciones+3
1:19:54EN
20VC with Harry Stebbings· 19 sept 2026Pódcast · 2 vocesThomas Sohmers on AI Inference, Memory and Data-Center GrowthInvitado: Thomas Sohmers · Presenta: 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· 18 sept 2026Pódcast · 2 vocesAI Safety, Regulation and a Hard Fork FarewellPresenta: Kevin Roose, Casey NewtonKevin Roose and Casey Newton discuss the debate and reflect on their show.AI SafetyAI RegulationAI Strategy
2 diapositivas0:22EN
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 diapositivas27:09EN
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.Agentes de programaciónDeveloper productivityAI cost & performance+2
1:05EN
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 inferenceInfraestructura y despliegueAI agents
29 diapositivas51:55EN
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
38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 18 sept 2026Pódcast · 2 vocesDiffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom SiliconPresenta: 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.Modelos y entrenamientoInferenceAI cost & performance+3
2 diapositivas0:22EN
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 SafetySeguridad y gobernanza
5 diapositivas12:31EN
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 & performanceEvaluaciones y observabilidad+1
36:29EN
Y Combinator· 17 sept 2026Y Combinator’s View of Startups in 2026: Hard Tech, AI and Solo FoundersGarry Tan, Jared Friedman, Diana Hu, Harj Taggar · Y CombinatorThe Lightcone panel shares its own batch data and observations about robotics, agent workflows and founder experience.StartupsFoundersRobotics+1
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