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1:20:43ENAI 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.
1:36:37ENAaron 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.
33:28ENThinking 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.
40:14ENOpus 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.
39:35ENReid Hoffman on AI Warnings and a Dual MandateHost Aria Finger, Reid HoffmanA debate over risk, public benefits and the future of AI development.
31:59ENClaude 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.
1:28:32ENMaggie Appleton on Design Engineering in the Age of AgentsGuest Maggie Appleton · Host Gergely OroszSketches, live prototypes and human judgment in collaborative software design.
7:26ENGPT-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.
1:53:13ENFrank Hutter on TabPFN: Learning to Predict from TablesGuest Frank Hutter · Host Tim ScarfeA discussion of synthetic priors, Bayesian prediction and causal limits.
25:30ENLuca 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.
27:53ENGrok 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.
1:01:33ENSpec-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’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.
16:57ENGrok 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.
38:51ENClaire Vo’s Blind Test of AI Models for Product WorkA live comparison of writing, prototypes, agents and creative tasks.
1:59:37ENOpus 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.
41:32ENUsing 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.
0:23ENWhy 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.
0:37ENA 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.
1:19:04ENDaniel 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.
30:29ENJev: 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.
0:51ENJev Demos: Fast AI for Search, Classification and BrowsingMatthew Berman · Forward FutureMatthew Berman highlights a collection of community-built demonstrations using Jev.
2:14:20ENAlexander Mattick on Inference, Constraints and World ModelsGuest Alexander Mattick · Host Tim ScarfeWhy generative modeling, reinforcement learning and robotics all depend on assumptions and costs.
0:24ENWhy Theo Worries About AI Harm Before ShutdownTheo Browne · T3Theo Browne argues that harmful effects could persist even after a system is switched off.
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