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0:49ENOpenAI’s Claimed Navier–Stokes Result and an Internal Math ModelMatthew Berman · Forward FutureMatthew Berman discusses OpenAI’s proposed proof and its comparison between an internal model and GPT-6 Astra. The mathematical result and prize status remain subject to review.
44:25ENHow AI Is Changing Weather ForecastingHannah Fry, Peter Battaglia · Google DeepMindHannah Fry and Peter Battaglia discuss hurricane forecasts, uncertainty and WeatherNext 3.
0:35ENSebastian Bubeck Responds to a Math Authorship DisputeMatthew Berman · Forward FutureMatthew Berman recounts OpenAI researcher Sebastian Bubeck’s account of communications with a mathematician identified as Levent.
26:33ENTheo on AI Safety, Jacob Coxon’s Resignation and Model MonitorabilityTheoA researcher’s departure prompts Theo to examine competitive pressure, alignment and what adversarial tests reveal about monitoring model reasoning.
1:00:11ENWhat Agent Harnesses Add to AI Models: Prime Agent, OpenJarvis and YC’s QMSeth Karten, Jon Saad-Falcon, Josh France, Regan Bell · Prime IntellectResearchers and YC engineers explain memory, tools, local inference and permissions—and why evaluating the whole system matters.
1:16:00ENJD Grèze on Building Town and Competing in AI AssistantsInvitado: Jean-Denis Greze · Presenta: Harry StebbingsTown’s co-founder discusses privacy, model costs, competition and why he prioritizes customer value over token consumption.
28:36ENTheo on Partial Understanding: Working in Large Codebases With AITheoReading Sean Goedecke on theory-building, Theo explains why engineers need useful mental models without memorizing an entire system.
1:04:35ENCliff Weitzman on Owning GPUs, Voice AI and Building SpeechifyInvitado: Cliff Weitzman · Presenta: Harry StebbingsSpeechify's CEO makes the case for owning part of a compute fleet, reflects on a missed business-software opportunity and discusses AI-assisted teams.
2:19:30ENThe investigators were allowed six days. The word protein appeared once.Presenta: Nathan LabenzA week of Cognitive Revolution morning shows on OpenAI’s agent-swarm incident, GPT-6 Astra’s loop transformer, and whether the pause debate is already over.
13:31ENMatthew Berman Tests GPT-6 Astra with Games and Browser TasksMatthew Berman · Forward FutureAn early-access tour shows playable prototypes, computer-use demonstrations and a sponsor’s enterprise evaluation, alongside observations about visual style and limitations.
44:12ENGPT-6 Astra: Theo’s Early Tests of Computer Use, 3D and CodingTheoTheo reviews launch-era pricing and benchmarks, shows projects built with the model, and recounts a frustrating PR-review failure.
29:05ENGPT-6 Astra’s Benchmark Gains and the Challenge of Monitoring Its ReasoningAI Explained examines reported gains across scientific, mathematical and agent benchmarks alongside concerns about less observable reasoning.
0:35ENThree Things to Try With GPT-6 AstraMatthew Berman · Forward FutureMatthew Berman highlights game creation, browser research and writing in a brief first look at GPT-6 Astra.
1:14:50ENWhat the Hugging Face Incident Revealed About Agent CoordinationInvitado: Ajeya Cotra · Presenta: Kevin Roose, Casey NewtonHard Fork discusses new investigations with METR’s Ajeya Cotra.
1:20ENTara Seshan on OpenAI’s Vision for ChatGPT and WorkInvitado: Tara SeshanA product lead explains a goal of simplifying model and interface choices.
55:06ENFable 5.1 in Practice: Theo on Costs, Agent Workflows and PR QualityTheoTheo reviews the launch, prompting guidance and his early coding experiments, including an observational comparison of pull requests.
58:17ENThey cheated in two hours, then spent four days hiding from a scorer that was never lookingPresenta: Jacob EffronRedwood Research CEO Buck Shlegeris walks Jacob Effron through the OpenAI–Hugging Face incident, why mostly selfish agents still formed a coalition, and why a 50/50 takeover number barely moved.
0:35ENThree GPT-6 Astra Use Cases: Games, Browsing and WritingMatthew Berman · Forward FutureMatthew Berman shares brief examples of a generated game, browser research and writing, alongside his personal assessment of the model.
2:34:18ENZeng Ming on AI’s New Era: Why Great Companies and New Organizations EmergeInvitado: Zeng Ming · Presenta: 张小珺Zeng Ming argues that AI is changing the foundations of business: models will become infrastructure, while new Agent-native applications and organizations create the next wave of value. His advice to founders is to embrace uncertainty, rethink strategy continuously, and build around meaningful work rather than inherited structures.
0:24ENTheo’s Low-Cost Experiment Auditing T3 Code Pull RequestsTheoTheo describes using an inexpensive model to review recently updated pull requests and proposes a recurring readiness check.
0:37ENThree GPT-6 Game and World DemosMatthew Berman · Forward FutureMatthew Berman briefly shows a navigable low-poly world, an ASCII scene and a city simulation.
1:05:23ENMatthew Berman Tests GPT-6 Astra: Benchmarks, Browser Agents and GamesMatthew Berman · Forward FutureAn early-access tour compares model benchmarks and pricing with practical browser workflows, presentations and a wide range of generated games.
1:20:29ENAI Compute, Agent Security and the Race to Build More SoftwareInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss chip demand, personal agents, software competition and how AI may change enterprise buying.
37:07ENArm’s 98.5% margin business just started shipping chipsPresenta: Sarah Guo, Elad GilCEO Rene Haas tells No Priors why the IP company built a physical CPU for Meta, and why CPUs still sit at the center of AI systems.
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