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1:06:36ENBills Doubled Overnight. Next, the APIs Might Vanish.Moderation: Jacob EffronSix months after their last roundup, Ari Morcos and Rob Toews tell Jacob Efron why coding agents finally work, why near-frontier open weights may have peaked, and why a compute famine could pull the plug on public APIs.
1:14:30ENRoman Chernin on AI Compute Demand, Inference and InfrastructureGast: Roman Chernin · Moderation: Harry StebbingsNebius’s co-founder discusses customer demand, GPU economics, managed inference and the risks of a concentrated market.
41:05ENAnthropic’s 2028 AI Leadership Scenarios: Chips, Open Models and a Policy DebateMatthew Berman, Jensen Huang · Forward FutureMatthew Berman examines Anthropic’s US–China scenarios, questions its proposed export restrictions and argues that adoption and open-weight models matter as much as frontier capability.
1:42:54ENAI and Cybersecurity: Matthew Berman’s Warnings, Predictions and Open QuestionsMatthew Berman · Forward FutureA livestream reviews reported AI-assisted threats and debates whether stronger defensive models can keep pace with attackers.
42:57ENInference Is the Last Market: Baseten’s 30x YearModeration: Sarah Guo, Elad GilCEO Tuhin Srivastava on a billion-dollar inference cloud, why the app layer survives, and a GPU crunch worse than the narrative.
1:50:42ENThe Future Live: Open Models, Compute Markets and the Future of Tech MediaMatthew Berman, Nick Wentz, Ben Pouladian, Wayne Nelms, Jayden Clark · Forward FutureMatthew Berman and Nick Wentz speak with Ben Pouladian, Wayne Nelms and Jayden Clark about AI infrastructure, pricing and OpenAI’s acquisition of TBPN.
54:26ENTen Billion Active Parameters, and the Unsexy Work of Making Them Agent-ReadyModeration: Nathan LabenzMiniMax researcher Olive Song explains how M2 was trained with expert developers as reward models, interleaved thinking, and a perturbation pipeline that treats every scaffold change as the real generalization test.
4:25:13ENThe Architecture Barely Changed. Data, Cost, and Open Weights Did.Moderation: Lex FridmanNathan Lambert and Sebastian Raschka walk Lex Fridman through a year in which training methods and datasets moved more than model design, and 2026 looks like a fight over inference cost, agents, and who owns truly open models.
2:05:47ENAI Agents, Open Models and Inference: Forward Future Live with Reflection AI, Microsoft and CerebrasMatthew Berman, Nick Wentz, Ioannis Antonoglou, Sam Schillace, Andrew Feldman · Forward FutureIoannis Antonoglou, Sam Schillace and Andrew Feldman discuss reinforcement learning, software workflows and AI infrastructure with Matthew Berman and Nick Wentz.
1:54:30ENFrom One in Ten Cancer Cells to One in a MillionModeration: Nathan LabenzNathan Labenz's solo AMA updates his son's lymphoma treatment, calls Claude Opus 4.5 software AGI, and ranks the live players of early 2026.
1:16:21ENJensen Huang’s Year-End Case That Token Costs Can Fall a Billion-Fold Without Killing JobsModeration: Sarah Guo, Elad GilOn No Priors, NVIDIA’s CEO uses radiology, open source, and a $2 trillion R&D budget to argue that 2025’s extremes missed the stack.
2:26:40ZH张鹏:从清华实验室到智谱上市,如何走向下一代 AIGast: 张鹏 · Moderation: 张小珺智谱 CEO 回顾科技成果转化、GLM 的研发与开源,以及公司如何在长期研究和商业化之间寻找路径。
1:18:40ENWhen AI Becomes the Oil Well: Luke Drago on the Intelligence CurseModeration: Nathan LabenzThe Workshop Labs co-founder tells the FLI Podcast why a world of non-human production could recreate the resource curse — and how private data, open weights, and moonshot careers might still break it.
1:32:38ENPolish Is 1% of Frontier Training Data, So Poland Built Its Own ModelModeration: Nathan LabenzMarek Kozlowski of Poland's National Information Processing Institute explains how PLLuM uses language adaptation, organic instructions, and on-prem small models to keep a mid-size country in control of its AI.
1:09:48ENChina's AI Labs Went From 15 to Six. The Compute Gap Is 15-to-1.Moderation: Jacob EffronJordan Schneider tells Unsupervised Learning that Chinese models were a private-capital story, that Beijing still thinks in hardware, and that the West's real edge is chips it can serve — not a state master plan.
1:25:54ENHours after training ends, Z.ai puts the weights on the internetModeration: Nathan LabenzZixuan Li of Z.ai tells ChinaTalk how a Chinese lab ships GLM, treats open weights as a ticket into Western ecosystems, and still sees itself as an upstart.
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.
43:09ENA $100 Arm and a $300 Robot: Hugging Face Wants an App Store for Physical AIThomas Wolf tells Sequoia's Training Data why LeRobot, cheap hardware, and open datasets are Hugging Face's bet that software developers can become roboticists.
1:50:08ENARC-AGI, Agent Memory and Interactive Worlds: Forward Future LiveMatthew Berman, Nick Wentz, Greg Kamradt, Charles Packer, Alan · Forward FutureGreg Kamradt, Charles Packer and Skywork AI’s Alan join Matthew Berman and Nick Wentz to examine how AI systems learn, remember and interact with environments.
47:18ENThe Analyst Tracking 200 GPU Clouds Breaks Nvidia Into a Three-Headed DragonModeration: Sarah Guo, Elad GilSemiAnalysis founder Dylan Patel on OpenAI’s open-weight model, a coming neocloud wipeout, and why a chip startup has to beat Nvidia on hardware, networking, and software at once.
1:43:51ENGPT-5, Cline and SWE-bench: How to Judge AI Coding AgentsMatthew Berman, Matt Wolfe, Ray Fernando, Saoud Razwan, Nick, Ofir, Carlos, John, Kilian · Forward FutureMatthew Berman and guests discuss early GPT-5 impressions, the economics of Cline, and why coding benchmark results depend on the evaluation setup.
36:03ENTheo on Meta’s Personal AI Strategy and the Shift Beyond Open ModelsTheo, Mark Zuckerberg · Theo - t3․ggA 2025 analysis of Meta’s personal-superintelligence announcement, platform history and the competition for personalized AI.
36:48ENThe Weekend DeepSeek Dropped, the White House CalledModeration: Sarah Guo, Elad GilSriram Krishnan walks No Priors through America’s 28-page AI Action Plan, a token-share definition of winning, and why the lead over China is too small to take for granted.
1:16:25ENMartin Casado on AI Models, Open Technology and Venture CompetitionGast: Martin Casado · Moderation: Harry StebbingsThe Andreessen Horowitz partner discusses coding tools, open-model policy, labor disruption and how his firm evaluates investments.
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