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1:20:43EN
20VC with Harry Stebbings· Sep 24, 2026Podcast · 3 speakersAI Agents, Venture Pricing and the Tradeoffs Behind the Funding BoomGuest Jason Lemkin, Rory O’Driscoll · Host Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate AI products, high-priced venture rounds, enterprise software and infrastructure risk.Venture CapitalAI agentsEnterprise AI+2
1:36:37EN
Jane Street· Sep 23, 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
33:28EN
GOTO Conferences· Sep 23, 2026Thinking in Platforms: From Developer Tooling to AI AgentsKaspar von Grünberg, Luca GalanteKaspar von Grünberg and Luca Galante discuss internal platforms, adoption and their view of agent infrastructure.AI platform engineeringSoftware engineeringAI agents
8 slides40:14EN
Theo - t3․gg· Sep 23, 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 agentsAI cost & performanceEvals+2
39:35EN
Reid Hoffman· Sep 23, 2026Podcast · 2 speakersReid Hoffman on AI Warnings and a Dual MandateHost Aria Finger, Reid HoffmanA debate over risk, public benefits and the future of AI development.AI SafetyAI StrategyFuture of Work
4 slides31:59EN
Matthew Berman· Sep 23, 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
1:28:32EN
The Pragmatic Engineer· Sep 23, 2026Podcast · 2 speakersMaggie Appleton on Design Engineering in the Age of AgentsGuest Maggie Appleton · Host Gergely OroszSketches, live prototypes and human judgment in collaborative software design.Product & UXSoftware engineeringAgent engineering
5 slides7:26EN
Matthew Berman· Sep 23, 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
1:53:13EN
Machine Learning Street Talk· Sep 23, 2026Podcast · 2 speakersFrank Hutter on TabPFN: Learning to Predict from TablesGuest Frank Hutter · Host Tim ScarfeA discussion of synthetic priors, Bayesian prediction and causal limits.Machine LearningFoundation ModelsData quality & curation
25:30EN
All-In Podcast· Sep 23, 2026Podcast · 3 speakersLuca Ferrari on Buying Product-Market Fit and Building Bending SpoonsGuest Luca Ferrari · Host 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
7 slides27:53EN
Theo - t3․gg· Sep 22, 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 agentsAI cost & performanceEvals+2
38 slides1:01:33EN
DeepLearningAI· Sep 22, 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 agentsAgent skillsDeveloper workflows & testing+2
0:52EN
Matthew Berman· Sep 22, 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 slides16:57EN
Matthew Berman· Sep 22, 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 agents+1
38:51EN
How I AI· Sep 22, 2026PodcastClaire Vo’s Blind Test of AI Models for Product WorkA live comparison of writing, prototypes, agents and creative tasks.EvalsProduct & UXModels & training
8 slides1:59:37EN
Matthew Berman· Sep 22, 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 agentsAI cost & performanceEvals+2
10 slides41:32EN
Theo - t3․gg· Sep 22, 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 agentsPrompt optimizationDeveloper workflows & testing+2
Slides0:23EN
Theo - t3․gg· Sep 21, 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 SafetySafety & governanceEvals
2 slides0:37EN
Matthew Berman· Sep 21, 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· Sep 21, 2026Podcast · 2 speakersDaniel Dines on AI Agents, Enterprise Work and the Limits of AutomationGuest Daniel Dines · Host 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 AIWorkflow automationAI agents+2
10 slides30:29EN
Theo - t3․gg· Sep 21, 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 agents+2
2 slides0:51EN
Matthew Berman· Sep 21, 2026Jev Demos: Fast AI for Search, Classification and BrowsingMatthew Berman · Forward FutureMatthew Berman highlights a collection of community-built demonstrations using Jev.AI agentsProduct & UXWorkflow automation
2:14:20EN
Machine Learning Street Talk· Sep 21, 2026Podcast · 2 speakersAlexander Mattick on Inference, Constraints and World ModelsGuest Alexander Mattick · Host Tim ScarfeWhy generative modeling, reinforcement learning and robotics all depend on assumptions and costs.AI researchModels & trainingAI cost & performance
0:24EN
Theo - t3․gg· Sep 19, 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 SafetySecurity & safety
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