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3:08:32ZH李一帆:激光雷达创业、制造降本与汽车供应链Invitado: 李一帆 · Presenta: 张小珺禾赛联合创始人回顾十一年创业,讨论技术、客户和规模化生产。
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 AllyPresenta: 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 LiquidityInvitado: Miles Dieffenbach · Presenta: Harry StebbingsThe Carnegie Mellon allocator explains how he compares venture funds with public markets and evaluates fund size, fees and private marks.
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.
1:27:01ENThe $16 Trillion Services Market Is Being Bought, Not Sold ToPresenta: Nathan LabenzMarc Bhargava of General Catalyst explains how AI-enabled rollups turn low-margin service firms into compounding, software-like businesses.
1:06ENWhat a Payroll Revision Reveals About Economic DataAn All-In speaker argues that weak employment data can obscure the state of the US economy.
1:35:35ENAI Strategy, the Future of Work, and Building a Spreadsheet AgentMatthew Berman, Hiten Shah, Nico Christie · Forward FutureMatthew Berman speaks with Hiten Shah and Nico Christie about open models, changing work, and the engineering and evaluation of agents.
1:28:12ENApple, Google and the Race to Fund AI GrowthInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: 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 CalledPresenta: 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 LoseInvitado: Jack Weatherford · Presenta: 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.
2:20:45ZH郑博元解读 Kimi K2 与智能体训练:数据、奖励和系统工程Invitado: 郑博元 · Presenta: 张小珺从合成轨迹和强化学习到浏览器环境与上下文工程,研究者比较 2025 年的几份技术报告。
1:16:25ENMartin Casado on AI Models, Open Technology and Venture CompetitionInvitado: Martin Casado · Presenta: 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 GovernancePresenta: 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.
0:45ENJensen Huang on Reviewing NVIDIA CompensationInvitado: Jensen HuangThe NVIDIA CEO describes a company-wide review and the principle behind higher employee spending.
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