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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.
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.
54:47ENNinety Thousand Games a Day: Roblox's Bet That AI Should Wash the DishesStef Corazza, head of generative AI at Roblox, tells Sequoia how a free Studio assistant, a community data bargain, and a 3D foundation model are meant to teach AI game development.
13:04ENDeep Research, AI Takeoff and the Limits of Early ReactionsMatthew Berman, Sam Altman · Forward FutureMatthew Berman surveys February 2025 reactions to OpenAI’s research agent and argues that reasoning and tools could accelerate AI progress.
2:49:35ZH → EnglishPan Jiayi on R1, o1, and Kimi K1.5: How Reinforcement Learning Teaches Models to ReasonGuest 潘嘉怡 · Host 张小珺Pan Jiayi, a Berkeley PhD student, walks through reasoning-model reports from DeepSeek, OpenAI, and Kimi, unpacking long chains of thought, GRPO, reward design, and distillation. R1-Zero’s “aha moment” shows how reasoning strategies can emerge through reinforcement learning.
1:15:18ENNabeel Hyatt on Venture Investing and the Uncertainty of AIGuest Nabeel Hyatt · Host Harry StebbingsThe Spark Capital partner argues for curiosity, founder relationships and product judgment in a fast-changing market.
18:33ENDeep Research’s Early Strengths and HallucinationsA February 2025 comparison of research agents finds useful retrieval alongside claims that need checking.
12:07ENTinyZero: A $30 Reinforcement-Learning Experiment on a Small Arithmetic TaskMatthew Berman · Forward FutureMatthew Berman explains how a pretrained Qwen model learned to search and check answers in Countdown, and why the experiment does not recreate DeepSeek-R1.
5:06:18ENDeepSeek's $5 million training claim and the five-year bet on computeHost Lex FridmanDylan Patel and Nathan Lambert walk Lex Fridman through DeepSeek-V3 and R1, export controls, TSMC, megaclusters, and who actually makes money in the AI race.
9:58ENMatthew Berman Tests o3-mini on Games, Puzzles and Web SearchMatthew Berman · Forward FutureA 2025 hands-on test finds working game prototypes and several successful answers alongside a delayed Tetris row, an ambiguous puzzle and a search configuration mistake.
6:44ENTesting DeepSeek Janus-Pro for Image Understanding and GenerationMatthew Berman · Forward FutureMatthew Berman tries the 7B multimodal model on diagrams, memes and image prompts using a sponsored cloud GPU demonstration.
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