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1:20:43EN
20VC with Harry Stebbings· 24. Sept. 2026Podcast · 3 StimmenAI Agents, Venture Pricing and the Tradeoffs Behind the Funding BoomGast: Jason Lemkin, Rory O’Driscoll · Moderation: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate AI products, high-priced venture rounds, enterprise software and infrastructure risk.Venture CapitalAI agentsEnterprise-KI+2
1:36:37EN
Jane Street· 23. Sept. 2026Aaron Bauer on Teaching Software Engineering in the Age of AIYaron Minsky, Aaron Bauer · Jane StreetHow learning goals, active practice and editor design shape engineering education when models can generate the code.AI in EducationSoftware engineeringEducation+2
8 Folien40:14EN
Theo - t3․gg· 23. Sept. 2026Opus 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.Coding-AgentenAI cost & performanceEvals+2
4 Folien31:59EN
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.AnthropicBenchmarksAI cost & performance+2
5 Folien7:26EN
Matthew 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.OpenAIAI cost & performanceBenchmarks+2
7 Folien27:53EN
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.Coding-AgentenAI cost & performanceEvals+2
38 Folien1:01:33EN
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.Coding-AgentenAgent skillsEntwicklungs-Workflows & Tests+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 Folien16:57EN
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 & performanceCoding-Agenten+1
8 Folien1:59:37EN
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.Coding-AgentenAI cost & performanceEvals+2
10 Folien41:32EN
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.Coding-AgentenPrompt optimizationEntwicklungs-Workflows & Tests+2
Folien0:23EN
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 SafetySicherheit & GovernanceEvals
2 Folien0:37EN
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. 2026Podcast · 2 StimmenDaniel Dines on AI Agents, Enterprise Work and the Limits of AutomationGast: Daniel Dines · Moderation: 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.Enterprise-KIWorkflow automationAI agents+2
10 Folien30:29EN
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 & gatewaysCoding-Agenten+2
2 Folien0:51EN
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 agentsProdukt & UXWorkflow automation
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 SafetySicherheit
1:40:36EN
Cognitive Revolution "How AI Changes Everything"· 19. Sept. 2026PodcastThe Labs Are Screaming: Internal Models Are a Generation AheadModeration: 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.SicherheitSicherheit & GovernanceEvals+3
1:19:54EN
20VC with Harry Stebbings· 19. Sept. 2026Podcast · 2 StimmenThomas Sohmers on AI Inference, Memory and Data-Center GrowthGast: Thomas Sohmers · Moderation: 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
2 Folien0:22EN
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 Folien27:09EN
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.Coding-AgentenDeveloper 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 inferenceInfrastruktur & DeploymentAI agents
29 Folien51:55EN
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. 2026Podcast · 2 StimmenDiffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom SiliconModeration: 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.Modelle & TrainingInferenceAI cost & performance+3
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