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40:13ENAs long as humans still need to read code, the IDE is not dyingZed founder Nathan Sobo argues that source code is a language for people, that terminal agents still need a visual editor, and that conversations should be anchored to every edit.
42:06ENAfter SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5Host Jacob EffronAnthropic’s head of product for research on computer use, deceptive token prices, thin harnesses, and why alignment makes a model a better thinker.
7:49ENDeepSeek V3.2: Reasoning, Sparse Attention and Agent TrainingMatthew Berman · Forward FutureMatthew Berman examines DeepSeek’s December 2025 model release, its benchmark results and the techniques used to improve long-context efficiency and tool use.
1:17:01ENJonathan Siddharth on AI Training Data, Enterprise Agents and the Future of WorkGuest Jonathan Siddharth · Host Harry StebbingsThe Turing CEO discusses reinforcement-learning environments, enterprise deployment and his expectations for AI-driven changes to software and employment.
3:18:09ENA Thing Is Alive When Its Goals Outrun Its PartsGuest Michael Levin · Host Lex FridmanTufts biologist Michael Levin tells Lex Fridman that intelligence is a spectrum of persuadability, that even a bubble sort hosts unexpected goals, and that the brain is a thin client to a space physics does not own.
1:13:24ENRed Teams Still Land 25% of Attacks. Insurance Is the Brake.Host Nathan LabenzAI Underwriting Company co-founders Rune Kvist and Rajiv Dattani tell Nathan Labenz how standards, audits, and insurance could unlock enterprise agents without waiting for a nuclear-style freeze.
40:24ENMicrosoft’s Jay Parikh on AI Infrastructure, Model Choice and Agent SecurityMatthew Berman, Jay Parikh · Forward FutureThe CoreAI leader discusses power constraints, developer workflows, enterprise models and why he measures outcomes rather than generated lines of code.
2:06:16ZH → EnglishTan Jie on Data Bottlenecks, Generalist Robots, and the Road to Real-World RoboticsGuest 谭捷 · Host 张小珺Google DeepMind robotics researcher Tan Jie traces his path from computer graphics to robotics and from reinforcement learning to Gemini Robotics. He argues that data scale and coverage, cross-embodiment transfer, real-time reasoning, and safety remain key to bringing robot foundation models into the real world.
50:08EN1Mind's AI Superhuman Now Sources 76% of the PipelineHost Nathan LabenzAmanda Kahlow tells Zapier CEO Wade Foster why she tore up the sales org — and why a face on an agent is mostly a trick to get buyers talking.
1:32:23ENAnthropic’s Financing, NVIDIA’s Chip Risks and the Enterprise AI RaceGuest Jason Lemkin, Rory O’Driscoll · Host Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss infrastructure commitments, customer-support software, AI marketing and IPO valuations.
19:31ENFigure AI Safety Lawsuit: A Former Engineer’s Allegations and the Robot Safety DebateMatthew Berman · Forward FutureMatthew Berman reviews a wrongful-termination complaint and discusses the risks of humanoid robots working near people.
1:04:50ENUseful AI Work Is Doubling Every Four Months. Schools Should Plan Accordingly.Host Nathan LabenzIn a keynote to K-12 educators, Cognitive Revolution host Nathan Labenz argued that task length, not chat quality, is the number that should reshape how schools think.
22:48ENMatthew Berman on Gemini 3 and the AI Competitive LandscapeMatthew Berman · Forward FutureA November 2025 strategy scorecard weighs models, infrastructure, chips, distribution and data across major AI companies.
10:27ENClaude Opus 4.5: Launch Benchmarks, Pricing and Tool UseMatthew Berman · Forward FutureMatthew Berman reviews Anthropic’s November 2025 release, its coding benchmarks and developer tools, while comparing it with contemporary models.
1:18:29ENBase44 Founder Maor Shlomo on AI App Building and CompetitionGuest Maor Shlomo · Host Harry StebbingsShlomo explains why he joined Wix, how he thinks about app-builder defensibility and why the future of software remains contested.
17:51ENGemini 3 Browser Demos: Voxel Art, Simulators and a Board GameMatthew Berman · Forward FutureMatthew Berman demonstrates a collection of AI-assisted creative applications, from animated voxel art to interactive simulations.
1:52:38ENOpen Models, AI Infrastructure, and Search: Four PerspectivesMatthew Berman, Nick Wentz, Himanshu Tyagi, Misha Laskin, Bryan Catanzaro, Robby Stein · Forward FutureForward Future speaks with leaders from Sentient, Reflection AI, NVIDIA, and Google about openness, scaling, safety, and AI-powered search.
10:36ENForward Future Live: An Opera Visit and NVIDIA EarningsMatthew Berman, Nick Wentz · Forward FutureMatthew Berman and Nick Wentz open their November 21, 2025 show with an opera story and a brief look at NVIDIA.
1:41:34ENChat Is the Universal Interface—and Often the Worst OneHost Nathan LabenzAtlassian's head of AI on fighting slop with taste, knowledge, and workflow, and why chat is a terminal, not a product.
1:26:40ENAI Coding Valuations, NVIDIA Risk and the Future of Private MarketsGuest Tomasz Tunguz, Jason Lemkin, Rory O’Driscoll · Host Harry StebbingsHarry Stebbings, Tomasz Tunguz, Jason Lemkin and Rory O’Driscoll debate coding tools, infrastructure risk, venture financing and secondary liquidity.
39:16EN500 Gloves, 10 Million Trajectories, and a $10,000 Home RobotHost Sarah Guo, Elad GilSunday Robotics co-founders Tony Zhao and Cheng Chi map the gap between a scalable imitation-learning recipe and a machine that actually does the dishes.
11:56ENGemini 3 Pro: Benchmarks, Video Understanding and Google’s Agent ToolsMatthew Berman · Forward FutureMatthew Berman reviews Google’s November 2025 launch, exploring model benchmarks, a video demonstration, Search interfaces, Antigravity and Gemini Agent.
41:36ENFour Months to Drive Tokyo: How Wayve Bet the Company on One End-to-End NetworkWayve CEO Alex Kendall tells Sequoia’s Training Data why AV 2.0 ditches HD maps and hand-written stacks for a foundation model that can adapt to a new car and a new country in weeks.
1:48:46ZH → EnglishLiu Xianming: Removing Language to Bring Physical AI Back to Data and ActionGuest 刘先明 · Host 张小珺Liu Xianming, head of autonomous driving at XPeng, explains why language supervision in VLA training can become an efficiency bottleneck and how he is helping XPeng shift from an autonomous-driving team to a physical AI company. The conversation also covers scaling data, organizational change, production safety, and what comes next for autonomous driving.
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