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1:29:02ENShe Never Sees a Row of Your Data. The Answers Still Clear 95%.Host Nathan LabenzIllumex CEO Inna Tokarev Sela tells Nathan Labenz how a Platonic industry ontology, trained only on metadata, collapses enterprise software into one conversation.
1:09ENUsing AI’s Benefits While Considering Its RisksA speaker distinguishes faster adoption from unchecked scaling.
1:07ENHow Interacting AI Agents Could Change the Wider SystemA speaker argues that simultaneous AI adoption could create unexpected interactions between agents.
8:04ENOpenAI’s February 2025 GPT-5 Roadmap and the Case for a Unified InterfaceMatthew Berman · Forward FutureMatthew Berman explains the proposed model-routing experience, GPT-4.5 and GPT-5 plans, and the product choices that prompted them.
1:20:53ENSolly Solomou on Building LADbible, Social Media and Expanding to the USGuest Solly Solomou · Host Harry StebbingsThe founder recounts buying a Facebook page, creating a media business and learning to lead through rapid change.
49:36EN86 Out of 100: Harvey's Playbook for Selling AI Into LawHost Sarah Guo, Elad GilWinston Weinberg on a Reddit blind test, expanding-and-collapsing product design, and why Harvey started with century-old firms instead of the mid-market.
44:26ENAn AI Application Is Still an ApplicationMongoDB's Sahir Azam tells Sequoia why vector search is a new primitive for unstructured data, not a replacement for transactions, and why retrieval quality is the last mile that gets AI into conservative enterprises.
15:33ENLatent Reasoning and Recurrent Depth: Scaling Compute Before the Next TokenMatthew Berman, Yann Lecun · Forward FutureMatthew Berman examines a 3.5-billion-parameter research model that repeats internal computations, and asks how it relates to language, planning and chain of thought.
0:59ENWhat Is Vibe Coding? Matthew Berman Explains His WorkflowMatthew Berman · Forward FutureBerman describes using voice input and an AI coding editor to build software, test it, and feed errors back without reading the code.
1:08ENWhen Should AI Agents Cooperate?Two participants consider mutual benefit, conflicting incentives and the line between cooperation and collusion.
1:15:33ENFabien Pinckaers on Odoo’s Business Model, Culture and CompetitionGuest Fabien Pinckaers · Host Harry StebbingsThe Odoo founder discusses open core, pricing, ownership and his approach to building an integrated business software suite.
1:30:28ENA Perfect Score Is 32,000 Units: Only Claude Built a Cooperative SocietyHost Nathan LabenzThe same donor game, run for ten generations, can bank 32,000 resource units if everyone cooperates—and three frontier models miss that ceiling by an order of magnitude.
6:50ENDeepScaleR: A Small Reasoning Model Tested on Competition MathMatthew Berman · Forward FutureMatthew Berman reviews a 1.5B model’s reported benchmark results and runs a quantized version locally on one AIME problem.
2:07ENHow Eratosthenes Estimated Earth’s SizeA short geometric explanation using sunlight, angles and distance.
21:10ENSam Altman’s 2025 AI Coding Forecast and Three ObservationsMatthew Berman, Sam Altman · Forward FutureMatthew Berman examines predictions about reasoning models, software agents and AI economics, distinguishing competitive-programming results from broader work.
55:38ENSridhar Ramaswamy on Snowflake, AI Competition and Leading Through ChangeGuest Sridhar Ramaswamy · Host Harry StebbingsThe Snowflake CEO discusses the overlap between models and applications, the importance of distribution, and how leaders can manage difficult transitions.
1:32:29EN17 Edits, Then 3 Prompts: Lovable Builds the Same App TwiceHost Nathan LabenzAnton Osika and Isaak Sundeman live-build a shopping comparison tool and argue that opinionated defaults—not open-ended agents—are how non-coders actually ship software.
1:24:29ENStackBlitz Almost Shut Down. Then Bolt Hit $20 Million ARR in Eight Weeks.Host Nathan LabenzEric Simons tells Nathan Labenz how a seven-year browser operating system, Claude Sonnet 3.5, and a text box replaced the local toolchain.
22:32ENThe $5.5 Million Was Only the Last MileHost Sarah Guo, Elad GilOn No Priors' 100th episode, Sarah Guo and Elad Gil separate DeepSeek's paper cost from the compute behind it, then walk through OpenAI's Deep Research, Stargate, and their bets for 2025.
46:53ENBrian Tolkin on Hiring Product Teams and Finding the Problem That MattersGuest Brian Tolkin · Host Harry StebbingsOpendoor’s head of product draws on Uber and Opendoor to discuss user choice, AI prototypes, decision-making and hiring.
1:03:08ZH → EnglishAllen Zhu: How DeepSeek Changed My View of AIGuest 朱啸虎 · Host 张小珺In early 2025, the investor revisits his views on open models, application startups and artificial intelligence.
1:03:51ENMax Levchin on Hiring, Postmortems and Leading AffirmGuest Max Levchin · Host Harry StebbingsThe Affirm founder discusses candid feedback, calculated risk, durable product work and staying focused through public-market volatility.
2:16:17ENA 10B Model Trained Across Three Continents — and an H200 for $1.49 an HourHost Nathan LabenzPrime Intellect's founders lay out a four-step plan to turn spare global GPUs into collectively owned intelligence, and argue that reinforcement learning just made their job easier.
10:01ENDeepSeek R1 Code Optimization and a $3 Visual Counting ExperimentMatthew Berman · Forward FutureMatthew Berman examines a human-guided coding improvement and a small reinforcement-learning experiment, then considers their implications for AI research.
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