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25:24ENGPT-5 Tested on Coding, Simulations and Multimodal TasksMatthew Berman · Forward FutureMatthew Berman tries browser applications, visual simulations and image prompts, showing both successes and defects in his early hands-on tests.
1:45:00ENAmerica Holds 45% of the World's Data Centers. Everyone Else Must Build, Buy, or Ally진행자 Nathan LabenzAnjney Midha of a16z maps what “sovereign AI” actually means for companies and for countries that will never own the talent, data, and compute frontier.
1:01:00ENv0 Hit 3 Million Users. Vercel’s CEO Says Pages Will Be Generated On Demand Within Five YearsFor a company that sells cloud hosting and frontend tools, one of the fastest-growing signup channels is ChatGPT.
1:01ENOpenAI’s gpt-oss Release and a Coding BenchmarkMatthew Berman · Forward FutureMatthew Berman introduces two open-weight models and reviews a Codeforces comparison from the launch.
10:28ENOpenAI’s gpt-oss Models: Open Weights, Benchmarks and SafetyMatthew Berman · Forward FutureMatthew Berman reviews the 120b and 20b models, local deployment claims, selected evaluations and the scope of OpenAI’s safety testing.
3:13ENClaude Opus 4.1: Anthropic’s August 2025 Benchmark UpdateMatthew Berman · Forward FutureMatthew Berman reviews the model’s reported coding, reasoning and tool-use results, including one benchmark that declined.
1:30:36ENMiles Dieffenbach on Endowment Investing, Venture Returns and Liquidity게스트 Miles Dieffenbach · 진행자 Harry StebbingsThe Carnegie Mellon allocator explains how he compares venture funds with public markets and evaluates fund size, fees and private marks.
1:27:01ENThe $16 Trillion Services Market Is Being Bought, Not Sold To진행자 Nathan LabenzMarc Bhargava of General Catalyst explains how AI-enabled rollups turn low-margin service firms into compounding, software-like businesses.
1:28:12ENApple, Google and the Race to Fund AI Growth게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate venture-fund scale, AI infrastructure and how large technology companies can respond to new competition.
36:48ENThe Weekend DeepSeek Dropped, the White House Called진행자 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.
4:30:02ENGenghis Khan Never Fought a Battle He Thought He Could Lose게스트 Jack Weatherford · 진행자 Lex FridmanAnthropologist Jack Weatherford tells Lex Fridman how an abandoned boy on the Mongolian steppe built the largest contiguous empire in history—and why conquest is only part of the story.
8:17ENASI-Arch: An Automated Search for Neural Network ArchitecturesMatthew Berman · Forward FutureMatthew Berman explains a 2025 research system that proposes, trains and evaluates model designs in an iterative loop.
15:30ENQwen3 Tested: Coding Demos, Long Context and Response BehaviorMatthew Berman · Forward FutureMatthew Berman tests generated simulations, political and safety prompts, hand tracking and word puzzles using a hosted Qwen3 model.
30:11ENFrom 12 Percent on AIME to IMO Gold in Two MonthsAlex Wei, Sheryl Hsu, and Noam Brown tell Sequoia's Sonya Huang how a three-person OpenAI sprint used general-purpose reinforcement learning, not Lean, to reach gold-level on the 2025 International Mathematical Olympiad.
1:16:25ENMartin Casado on AI Models, Open Technology and Venture Competition게스트 Martin Casado · 진행자 Harry StebbingsThe Andreessen Horowitz partner discusses coding tools, open-model policy, labor disruption and how his firm evaluates investments.
58:47ENDaniel Pontecorvo on Cooling Trading Infrastructure and WorkspacesYaron Minsky, Daniel Pontecorvo · Jane StreetFrom dense GPU racks to movable desks, Jane Street’s physical engineering team designs around heat, power, failure and human comfort.
2:14:55ENFrom Character AI to a 1% Warning Shot: Gabriel Weil's Case for Liability as AI Governance진행자 Nathan LabenzA Touro law professor tells Nathan Labenz how negligence, strict liability, and punitive damages could make frontier labs treat public risk as a hit to their own balance sheet.
1:27:41ENRon Minsky on the Saga of Multicore OCaml at Jane StreetYaron Minsky · Jane StreetA production migration exposed garbage-collector regressions, led to a new pacing design, and illustrated the difficulty of turning research into reliable infrastructure.
32:59ENA Hundred People, a Billion in Revenue, and Zero Venture Money진행자 Sarah Guo, Elad GilSurge AI founder Edwin Chen on why quality human data is a poetry problem, not a bounding-box problem, and why leaderboards keep training models to write clickbait.
1:26:43ENAnthropic Dependency, Figma’s IPO and the Changing Seed Market게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsJason Lemkin and Rory O’Driscoll join Harry Stebbings to discuss AI platform risk, public listings and competition for early-stage deals.
23:39ZH李沐:给文本大模型加入一千万小时语音,开源 Higgs Audio李沐 · Boson AI李沐介绍团队如何在文本大语言模型的训练里加入大量语音数据,做成能听能说的 AudioLLM,并把 Higgs Audio 开源。他讲了架构取舍、token 压缩、数据从哪来,以及怎么在 3090 上跑起来。
2:28:14ENNature Has Structure: Demis Hassabis on Learnable Reality and AGI게스트 Demis Hassabis · 진행자 Lex FridmanThe Google DeepMind CEO argues that evolution-shaped systems can be modeled by classical learning, and that interactive world models sit on the path to AGI.
2:27ENWhat Jane Street Interns and Recruiters Say About ApplyingCharlie, Zeki, Kandasamy, Grace, Wes, Nae Nae, Alvin · Jane StreetInterns and recruiters describe the application process, problem-solving interviews, and how they think about finance experience.
37:37ENA dozen people, 28 minutes, and one shared desktopThe OpenAI trio behind ChatGPT Agent explain how Deep Research and Operator became a virtual computer that can reason for half an hour and still ask you before it spends money.
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