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1:02EN → 简体中文
MBMatthew Berman· 2026年10月15日从打孔卡到 AI 软件工厂Matthew Berman · Forward FutureMatthew Berman 对比早期编程和 AI 辅助工作流,并推广 Factory 的开发工具。软件工厂编程智能体Software engineering+1
3:37EN → 简体中文
MBMatthew Berman· 2024年1月18日Mark Zuckerberg 宣布训练 Llama 3 与 Meta 的 AI 计划Matthew Berman, Mark Zuckerberg · Forward Future2024 年 1 月,Matthew Berman 评述 Zuckerberg 关于通用智能、算力和 AI 设备的发言。Open-weight modelsAI History基础设施与部署+1
5 张幻灯片7:09EN → 简体中文
MBMatthew Berman· 2023年7月28日2023 年 7 月 AI 动态:SDXL、Worldcoin 与生物计算Matthew Berman · Forward FutureMatthew Berman 回顾一周的 AI 进展,从 Google 的 Gemini 项目和新生成模型,到生物识别身份与培养神经元实验。Generative media模型与训练Brain-Computer Interfaces+2
14:55EN
Lex Fridman· 2019年10月29日播客 · 2 人对谈Kasparov on Deep Blue, AlphaZero, and Why Machines Win Closed Systems but Humans Still Choose the Questions嘉宾 Garry Kasparov · 主持 Lex FridmanGarry Kasparov revisits the 1997 loss to Deep Blue, explains why machines beat humans in closed systems, and argues that the human role is to pick the right questions and not interfere with superior machine knowledge.AI HistoryPhilosophyHuman-AI Collaboration+3
12:16EN
Lex Fridman播客Rule 30 and Richard Feynman: Stephen Wolfram on Intuition Versus Computational Experiment主持 Lex FridmanWolfram recalls working with Feynman at Thinking Machines, why Feynman hid his calculations, and how building a computer language changed his approach to science.AI HistoryFirst PrinciplesScience Communication+1
11:59EN
Lex Fridman播客 · 2 人对谈From a Side Project to TensorFlow's Core: François Chollet on How Keras Came to Be嘉宾 François Chollet · 主持 Lex FridmanThe creator of Keras recalls why he built it in 2015 around recurrent networks, how it moved onto TensorFlow, and what TensorFlow 2.0 means for its design.开源与社区Deep LearningOpen-source ecosystems+3