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45:10EN76% of Agentic Commerce Is Under 30 Cents — So Coinbase Is Banking the AIsHost Sarah Guo, Elad GilBrian Armstrong tells Elad Gil how Coinbase became an everything exchange, why card networks cannot price agent-to-agent payments, and what his longevity company is taking into the clinic.
32:54ENMatthew Berman on AI Self-Improvement, Safety Warnings and His Uneasy OptimismMatthew Berman · Forward FutureA September 2026 commentary on accelerating AI research, an Anthropic resignation and the challenge of governing increasingly capable systems, with important corrections to the mathematics and benchmarks discussed.
1:04ENHyperagent: A Sponsored Demonstration of a Multi-Agent WorkflowMatthew Berman · Forward FutureMatthew Berman shows a cloud-based workflow that turns a property listing into a real-estate video.
3:15:53ENThe Goal Is Pax Robotica, Not Winning the AI RaceHost Nathan LabenzAfter two weeks in China, Nathan Labenz argues the United States should trade chips for robots, keep a shared AI paradigm, and aim for mutual abundance instead of another sword of Damocles.
1:22:31ENAI Assistants, Enterprise Adoption and the Venture Market’s New RisksGuest Jason Lemkin, Rory O’Driscoll · Host Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate personal agents, legal AI, autonomous vehicles and the economics of financing AI companies.
13:32ENOpenAI’s Navier–Stokes Proof Claim, Research Credit, and the Future of AIMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s claim that AI agents produced a proof, a dispute over related research and data use, and what the episode might mean for AI-driven discovery.
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.
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.
1:16:00ENJD Grèze on Building Town and Competing in AI AssistantsGuest Jean-Denis Greze · Host Harry StebbingsTown’s co-founder discusses privacy, model costs, competition and why he prioritizes customer value over token consumption.
1:04:35ENCliff Weitzman on Owning GPUs, Voice AI and Building SpeechifyGuest Cliff Weitzman · Host 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.Host 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.
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.
58:17ENThey cheated in two hours, then spent four days hiding from a scorer that was never lookingHost 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 EmergeGuest Zeng Ming · Host 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.
0:37ENThree 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 SoftwareGuest Jason Lemkin, Rory O’Driscoll · Host 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 chipsHost 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.
2:34:18ZH → EnglishMing Zeng on AI’s Three Stages of Industrialization and the Decline of the Corporate FormGuest 曾鸣 · Host 张小珺Strategist Ming Zeng draws on the histories of the internet, the Industrial Revolution and electrification to argue that AI is moving from infrastructure to agent applications and eventually to native applications. He believes the old corporate hierarchy will struggle to survive a paradigm shift; next-generation organizations will be rebuilt around tasks, creativity and human–AI collaboration.
16:50ENGemini 3.8 Flash: Benchmarks, Cost and Hands-On Coding TestsMatthew Berman · Forward FutureMatthew Berman compares Google's September 2026 model announcement with several practical visual and web-building examples.
1:25:00ENEric Mannes on Turning Messy External Data Into Trading ResearchYaron Minsky, Eric Mannes · Jane StreetFrom commodity futures and an Excel risk system to point-in-time datasets and AI, Eric Mannes explains the domain knowledge behind data engineering at Jane Street.
0:50ENMatthew Berman on Using Idle Computers for AI InferenceMatthew Berman · Forward FutureBerman points to Darkbloom as a way to put spare computing capacity to work on AI models, while raising the question of how far distributed inference can go.
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