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1:22:07ENEvery payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%진행자 Nathan LabenzEmily Sands, Stripe’s head of data and AI, explains how a domain-specific payments model, shared embeddings, and mixed rules turn a $1.4 trillion network into compounding advantage.
1:01:49ENTwo Academic Hours a Day, and 96 Percent of Kids Say They Love School진행자 Sarah Guo, Elad GilTrilogy founder Joe Liemandt, now principal of Alpha School, tells No Priors how an AI tutor, a two-hour bargain with fifth graders, and a sports-coach ethos are meant to scale to a billion children.
1:25:48ENNvidia’s OpenAI Commitment, H-1B Policy and the Venture Investor’s Risk게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss AI infrastructure financing, IPO liquidity and how startup investors weigh concentrated bets.
15:29ENBuilding a Multi-Agent Research Team with Strands AgentsMatthew Berman · Forward FutureMatthew Berman builds from a calculator agent to a multi-agent business-report demo, with examples of tools, model selection and orchestration.
1:02:05EN$100 Million Researchers and a $200 Billion xAI: An AI Roundtable Does the Math진행자 Jacob EffronDatology’s Ari Morcos and Radical Ventures’ Rob Toews argue over whether models are plateauing, whether RL-environment startups will last, and why Google is the lab they would pick.
13:02ENCould AGI Freeze Economic Mobility? A Debate About Work and OwnershipMatthew Berman, Aaron Levie, Reid Hoffman · Forward FutureMatthew Berman weighs fears of a permanent underclass against arguments for AI-augmented work, new demand and income support.
44:49ENCompanies Keep Asking for AI. Then They Send It Back.Agency founder Elias Torres on why businesses freeze at imperfect answers, and why his third startup aims for a billion in revenue with fewer than 100 people.
1:38:05ENHemant Taneja on Scaling General Catalyst, AI and the Future of Venture게스트 Hemant Taneja · 진행자 Harry StebbingsThe General Catalyst CEO discusses early-stage returns, AI’s effect on work and the difficulty of investing through rapid technological change.
1:28:17ENAdam Gleave's Three Capability Tiers: Attack Agents in 5–7 Years, Fully AI Companies Around Year 14진행자 Nathan LabenzFAR.AI and the UK AI Security Institute stacked adversarial attacks on frontier safeguard pipelines and found many breakthroughs were engineering failures, not a verdict against defense in depth.
4:25:44ENThe Wehrmacht's Secret Ingredient Was Methamphetamine게스트 Norman Ohler · 진행자 Lex FridmanHistorian Norman Ohler tells Lex Fridman how Pervitin, Hitler's doctor, and LSD change the story of World War II without turning drugs into a single cause.
1:32:50ENKaz Nejatian on Opendoor, AI Financing and the Cost of Growth게스트 Kaz Nejatian, Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsOpendoor’s new CEO explains his housing strategy; Harry Stebbings and investors examine AI infrastructure commitments, software margins and the return of IPOs.
31:22ENDecagon Prices AI Support by the Conversation. The Market Is Wages.진행자 Sarah Guo, Elad GilJesse Zhang on six-figure contracts at zero ARR, 60–70% contact-center cuts, and a world where your agent calls the airline’s agent.
14:47ENAI News in September 2025: OpenAI’s Programming Test, Meta’s REFRAG and New Agent ToolsMatthew Berman · Forward FutureMatthew Berman surveys competition results, efficient retrieval, agent payments, 3D worlds and model launches, alongside updates on Waymo and AI video. The episode distinguishes announcements, research claims and rumors from established outcomes.
16:29ENWhat Anthropic’s 2025 Economic Index Says About AI Adoption and WorkMatthew Berman · Forward FutureMatthew Berman explores Claude usage across tasks, countries and businesses, and considers what uneven adoption could mean for workers and inequality.
42:20ENA Name Invented at 2:30 a.m. Put Gemini on Top of the App Store진행자 Jacob EffronGoogle's Nicole Brichtova and Oliver Wang on Nano Banana, why image models got smart when language models did, and why a prompt still is not a finished product.
8:47ENWhy Identical LLM Prompts Can Produce Different Answers at Temperature ZeroMatthew Berman · Forward FutureMatthew Berman explains Thinking Machines Lab’s work on batch-invariant inference and what its reproducibility experiment actually showed.
18:05ENAI News: Qwen3-Max, OpenAI’s Restructuring and New Research ModelsMatthew Berman · Forward FutureMatthew Berman surveys September 2025 releases and reports, from silent speech and image generation to infrastructure and AI business deals.
1:00:35ENMercor CEO Brendan Foody on Expert Data, AI Evaluations and Growth게스트 Brendan Foody · 진행자 Harry StebbingsFoody explains Mercor’s marketplace, reported revenue run rate and views on model development, margins and company culture.
58:25ENA construction permit that took four months now takes three minutes진행자 Sarah Guo, Elad GilJared Kushner talks with Sarah Guo and Elad Gil about Affinity Partners, the AI firm BrainCo, and how capital, energy, and Middle East diplomacy now run through AI.
1:32:47ENA transformer co-author wants a $160 million model no company owns진행자 Nathan LabenzIllia Polosukhin tells Nathan Labenz how NEAR turned a payments headache into a stack for private inference, shared-revenue training, and AI agents that still answer to a court.
1:28:11ENAI Agents, Web Access and Startup Investing: Forward Future LiveMatthew Berman, Paul Klein, Yohei Nakajima · Forward FutureMatthew Berman speaks with Browserbase’s Paul Klein and investor Yohei Nakajima in a September 2025 livestream.
2:03:52ENAI Agents at Work: OpenAI, Factory AI and Box Discuss Building Reliable WorkflowsMatthew Berman, Nick Wentz, Srinivas Narayanan, Matan Grinberg, Aaron Levie · Forward FutureAt BoxWorks in September 2025, leaders discuss enterprise agents, software development and the practical work of evaluating AI systems.
1:44:35ENJoe Hudson: $500 Billion Went Into AI, and Nobody Defined 'Good for Humanity'진행자 Nathan LabenzSam Altman says the OpenAI coach's superpower is emotional clarity — and that it will be one of the most critical skills in a post-AGI world.
1:34:12ENOpenAI Secondaries, Ramp and the Price of AI Growth게스트 Jason Lemkin, Rory O’Driscoll, Jeff Lawson · 진행자 Harry StebbingsJason Lemkin, Rory O’Driscoll and Jeff Lawson join Harry Stebbings to debate AI funding, founder incentives and the risks of moving too fast.
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