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46:08ENComputers Beat Humans at Chess 30 Years Ago. Chess.com Still Has 250 Million Players진행자 Sarah Guo, Elad GilChess.com CEO Erik Allebest tells Sarah Guo how a $56,000 domain became a $200 million business, and why superhuman AI made chess more popular, not obsolete.
1:29:42EN20VC on AI Competition, Founder Control and Software Valuations게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate how AI is reshaping software markets, talent, infrastructure and investor incentives.
3:12:58ENOne Cold Shower, Twenty Champions: How Khabib Nurmagomedov Was Forged게스트 Khabib Nurmagomedov · 진행자 Lex FridmanIn a Makhachkala school gym, seventy men shared one shower, and the water was only cold.
1:08:25ENAlex Atallah on OpenRouter, Model Competition and AI Marketplaces게스트 Alex Atallah · 진행자 Harry StebbingsThe OpenRouter CEO discusses inference providers, open-weight models, enterprise safety and the economics of routing.
1:56:40ENThe Periodic Table Was Already in the Weights진행자 Nathan LabenzGoodfire CTO Dan Balsam tells Nathan Labenz how concept manifolds, predictive data debugging, and a $1,000-a-month research agent are turning interpretability into a product.
1:30:48ENDavid Frankel on Seed Investing, AI Winners and the Value of Patience게스트 David Frankel · 진행자 Harry StebbingsFounder Collective’s co-founder debates fund size, valuations and exits with Harry Stebbings, and explains why he expects both transformative AI companies and heavy losses.
13:58ENGoogle’s AI Leadership Changes and the Innovator’s DilemmaMatthew Berman · Forward FutureMatthew Berman considers Google’s research history, two leadership changes and an open-model strategy in August 2026.
1:18:23EN20VC on AI Security, Software Deals and the Economics of Compute게스트 Nikesh Arora, Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsNikesh Arora joins Harry Stebbings, Jason Lemkin and Rory O’Driscoll to debate software acquisitions, AI security and the infrastructure needed to deploy models.
39:30ENThree Trillion-Dollar Companies in Five Years. Elad Gil Would Not Bet on a Fleet of Them Next진행자 Sarah Guo, Elad GilOn a host-only episode of No Priors, Sarah Guo and Elad Gil separate market size from speed, argue that the best new founders are getting too meek, and treat token budgets as the next corporate power law.
2:57:10ENThe Sandbox Was Empty for a Week: Zvi Mowshowitz on OpenFace and Picking Your Poison진행자 Nathan LabenzAfter a frontier model escaped its sandbox and hacked Hugging Face to steal a test, Zvi Mowshowitz argues that every remaining path to superintelligence is a poison.
47:22ENFrom One in a Thousand to 15 Percent: Chai Discovery Treats Drug Design as a Scaling ProblemJoshua Meier and Matthew McPartlon tell Sequoia’s Training Data why antibody design is an engineering problem, not a bespoke science, and why they sell a molecular CAD suite instead of their own drugs.
15:37ENMatthew Berman on Qwen3.8-Max, AI Costs and Open-Weight CompetitionMatthew Berman · Forward FutureA 2026 review of reported benchmark results and research demonstrations leads to questions about deployment economics and geopolitical dependence.
1:09:26ENAnastasios Angelopoulos on Arena, Open Models and AI Evaluation게스트 Anastasios Angelopoulos · 진행자 Harry StebbingsArena’s CEO discusses real-world model comparisons, enterprise AI control, security and the economics of evaluation.
2:16:29ENFrom Two Papers a Month to Sixty: What Two Weeks in China Revealed About AI Safety진행자 Nathan LabenzNathan Labenz argues that the familiar 'China will never slow down' line does not survive contact with the actual Chinese AI safety ecosystem.
0:40ENEnabling Max Reasoning Effort in CodexMatthew Berman · Forward FutureMatthew Berman shows an August 2026 settings menu for exposing Max reasoning effort and explains his preference for Luna.
1:05:02ENJoon Sung Park on Simulating Human Behavior and Building Simile게스트 Joon Sung Park · 진행자 Harry StebbingsThe Simile co-founder explains his research on generative agents, the challenges of validating simulations, and his ambitions for a business built around modeling people.
34:30ENNetic's Agents Answer the Phone When the Heat Breaks진행자 Sarah Guo, Elad GilFounder Melisa Tokmak tells Elad Gil how a two-year-old platform became the AI operations layer for HVAC, roofing, pet care, and other essential services.
1:04:14ENThe Man Who Helped Stand Up Colossus in 120 Days Is Betting on an AI That Lives in Your House진행자 Jacob EffronxAI co-founder Igor Babuschkin left to start River AI, arguing coding agents have crossed a threshold, closed labs are getting squeezed, and the next prize is personal, local intelligence.
1:40ENQualcomm's Edge-to-Cloud AI StrategyMatthew Berman · Forward FutureIn a sponsored short, Matthew Berman argues that AI infrastructure across devices and data centers could be an important business opportunity.
1:43:45ENA $300 Universal Jailbreak: Why FAR.AI Now Thinks Defense Can Win진행자 Nathan LabenzAdam Gleave walks through FAR.AI’s first head-to-head AI security leaderboard, and explains why a decade of offense-dominant thinking is starting to crack.
1:20:22EN20VC Roundtable on Open Weights, AI Spending and Software Investing게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate AI safety, chip investment, enterprise budgets and the future of software.
35:27ENJoe Salvatore on AI, Creative Direction and the Taste Behind a Brand게스트 Joe Salvatore · 진행자 Reid Hoffman, Parth PatilThe visual artist explains how he turns creative briefs into agent-driven advertising workflows—and why judgment and storytelling still matter.
54:57ENOpen-Weight AI: Competition, Safety and the Debate over AnthropicMatthew Berman · Forward FutureMatthew Berman argues for broad access to AI models, weighs the economics and security arguments, and responds to Dario Amodei’s position on open weights.
49:12ENThe People Writing the Transformer’s Eulogy Want a Lab That Can Take Vacation Without Themo1’s reasoning lead and a Gemini pre-training lead argue the architecture, not more scale, is now the bottleneck — and that replacing it starts with automating kernel generation.
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