筛选结果
14 篇排序
59:41EN → 简体中文GPT 时刻还没有降临到视频上,但 AGI 也许已经到来主持 Jacob Effron谷歌 I/O 2026 大会次日,Gemini 联合负责人 Oriol Vinyals 认为,世界模型、文件系统式记忆,以及复杂度无限的强化学习环境,将定义前沿模型的下一个时代。
1:21:56EN → 简体中文Yann LeCun 离开 Meta:大语言模型通向不了智能主持 Jacob Effron这位图灵奖得主对 Jacob Effron 讲述了他为何从 Meta 分拆出 AMI Labs,为何类 JEPA 的世界模型胜过像素生成器,以及他为何认为 Hinton 在 2023 年改变了看法。
10:45EN → 简体中文World Labs Marble:生成和编辑可探索的三维世界Matthew Berman · Forward FutureMatthew Berman 演示 Marble 的多模态输入、场景编辑和三维导航,并尝试用一张图像重建自己的办公室。
1:19:10EN → 简体中文原本要拍几个月的机械臂镜头,如今收进了一条提示词里主持 Nathan LabenzLuma Labs 的 Amit Jain 与 Jiaming Song 谈 Ray 2、少样本镜头概念,以及他们为什么认为视频模型处在通往通用人工智能(AGI)的路上。
54:45EN → 简体中文几兆的《毁灭战士》,几吉的模型:Runway 为何押注泛化主持 Nathan LabenzRunway 首席技术官 Anastasis Germanidis 在 The Cognitive Revolution 节目里谈到:为什么视频比文本更完整地记录了世界,物理规律为什么无需编程就会自己出现,以及一家小实验室如何与近乎无限的算力竞争。
1:54:17EN → 简体中文Metaculus 在 2020 年 1 月就关注到了新冠,如今它要让 AI 也加入预测主持 Nathan LabenzNathan Labenz 与 Metaculus 首席执行官 Deger Turan 谈认知安全、为期一年的机器人锦标赛,以及为什么一个有用的预测,比一个准确的预测更难做到。
1:43:47EN → 简体中文他们希望 AI 安全也能像土木工程师评估桥梁那样,给出失效概率主持 Nathan LabenzNora Ammann 和 Ben Goldhaber 带 Nathan Labenz 梳理了“可保证安全的 AI”(Guaranteed Safe AI,GSAI):世界模型、安全规格、验证器,以及为什么聊天机器人的良好品格,放到水坝上是类型不对。
45:31ENYou Are Your Own Existence Proof: Karl Friston on Free Energy, Life, and Self-Awareness主持 Lex FridmanKarl Friston explains how the free energy principle reframes existence, life, planning, and self-awareness as inference problems.
1:45:49ENTrust at Scale: Elicit's Founders on Reasoning Languages, World Models and Automating the Company主持 Nathan LabenzAndreas Stuhlmüller and Jungwon Byun explain how Elicit keeps frontier models checkable for high-stakes science, and where they think AI reasoning is heading.
1:03:59ENBuilding a World Model of Life: Biohub's Alex Rives on Why Better Measurement Must Come Before Virtual Cells主持 Nathan LabenzBiohub's head of science explains why today's virtual cell models fall short, how a $1.8 billion data push aims to fix it, and what a five-year information-level model of the cell could unlock.
1:03:24ENWhy Sora Bet on People, Not Just Pixels主持 Jacob EffronThe Sora team explains how a video model became a social creation network, what cameos revealed about human creativity, and why the next frontier is world simulation.
17:40ENFrom AlphaGo Zero to MuZero: How Self-Play Strips Knowledge Out of AI主持 Lex FridmanDeepMind's David Silver explains why removing human knowledge made AlphaZero stronger and more general, and how MuZero extended the idea to worlds with unknown rules.
1:13:40ENThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing Moment主持 Jacob EffronVincent, a distinguished engineer at Waymo, explains how foundation models became teachers for self-driving, why the long tail and causality are the real frontier, and where robotics still lacks its generalist proof point.
1:19:34EN → 简体中文李飞飞谈 ImageNet、世界模型,以及为什么每个人都该在 AI 里有位置主持 Lenny Rachitsky常被称为「AI 教母」的科学家,回溯大数据如何点燃深度学习,解释空间智能为何是下一站,并演示 World Labs 的第一款产品 Marble。







