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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 LiquidityGast: Miles Dieffenbach · Moderation: 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 ToModeration: 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 GrowthGast: Jason Lemkin, Rory O’Driscoll · Moderation: 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 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.
4:30:02ENGenghis Khan Never Fought a Battle He Thought He Could LoseGast: Jack Weatherford · Moderation: 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.
11:28ENGLM-4.5: Coding Demos, Model Sizes and Z.ai’s BenchmarksMatthew Berman · Forward FutureMatthew Berman tests interactive applications built with GLM-4.5 and examines Z.ai’s reported comparisons with leading models in July 2025.
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 CompetitionGast: Martin Casado · Moderation: 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 GovernanceModeration: 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 MoneyModeration: 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.
6:53ENQwen3-Coder: An Open-Weight Coding Model and Its Command-Line AgentMatthew Berman · Forward FutureMatthew Berman examines Qwen’s July 2025 coding model, its training and benchmark results, and tries its command-line tool on a Snake game.
1:26:43ENAnthropic Dependency, Figma’s IPO and the Changing Seed MarketGast: Jason Lemkin, Rory O’Driscoll · Moderation: 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 AGIGast: Demis Hassabis · Moderation: 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.
1:56:16ENSB 813 Would Hand AI Safety Checks to Licensed Private Firms — If Government Can Watch the WatchersModeration: Nathan LabenzGillian Hadfield and Andrew Freedman want California to set AI safety outcomes, license competing certifiers, and give companies a rebuttable presumption in court if they pass.
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