筛选结果
24 篇排序
26:05EN → 简体中文深入 Claude：可解释性研究揭示了什么，还有什么尚未解释Matthew Berman · Forward FutureMatthew Berman 解读 Anthropic 关于多语言特征、规划、算术、幻觉和安全的案例研究。
15:34EN → 简体中文Sam Altman 谈 AGI 与超级智能：2025 年的一场讨论Matthew Berman, Ray Kurzweil, Lex Fridman · Forward FutureMatthew Berman 解读 Altman 关于 AGI、技术奇点和 AI 可能推动科学进步的表态。
18:54EN → 简体中文2024 年 10 月 AI 新闻：DevDay、管理层变动与新模型Matthew Berman · Forward FutureMatthew Berman 回顾 OpenAI 开发者公告、遭否决的加州法案、Pika 1.5 和 Liquid AI 模型。
19:38EN → 简体中文Reflection 70B：相互矛盾的结果与尚待解答的问题Matthew Berman · Forward FutureMatthew Berman 回顾自己早期的报道、独立评测，以及围绕 2024 年 9 月发布的模型出现的不同说法。
16:06EN → 简体中文Q* 与 Strawberry：2024 年 8 月已知信息和推测Matthew Berman · Forward Future在底层项目尚未披露时，Matthew Berman 回顾当时的传闻，以及有关推理、搜索和自我对弈的研究概念。
16:06EN → 简体中文AI 新闻：视频生成、Apple Intelligence、机器人与 DeepSeek Coder V2Matthew Berman · Forward FutureMatthew Berman 回顾一周的发布与研究，从 Luma、Runway 到 NVIDIA、机器人和编程模型。
26:00EN → 简体中文
No Priors: AI, Machine Learning, Tech, & Startups· 2024年6月11日播客 · 2 人对谈Zapier 创始人为何认为通用人工智能研究已经停滞了四年主持 Sarah Guo, Elad GilMike Knoop 和 François Chollet 拿出了超过 100 万美元，奖励能够突破 ARC-AGI 的人。他们认为，这项评测才真正衡量了通用智能。
27:07EN → 简体中文GPT-4o 发布：语音、视觉与更自然的对话界面Matthew Berman, Mira Murati · Forward FutureMatthew Berman 回顾 OpenAI 2024 年 5 月的 GPT-4o 演示，探讨响应更快的多模态助手能够带来什么。
18:47EN → 简体中文Anthropic 的多样本越狱研究发现了什么Matthew Berman · Forward FutureMatthew Berman 回顾一项 2024 年长上下文安全失效研究及其所测试防御措施的局限。
22:17EN → 简体中文Q* 传闻、能量模型与推理研究Matthew Berman, Yann Lecun · Forward FutureMatthew Berman 审视一份未经证实的匿名 Q* 描述，并将其中的想法与训练语言模型进行推理的已发表研究作比较。
21:16EN → 简体中文ArtPrompt：2024 年研究如何考察视觉文本与模型安全Matthew Berman · Forward FutureMatthew Berman 解读 ASCII 艺术识别基准，并报告自己非正式测试中喜忧参半的结果。
21:00EN → 简体中文Jim Fan 的基础智能体愿景：技能、机器人身体与仿真Matthew Berman, Jim Fan · Forward FutureMatthew Berman 解读 Minecraft 智能体、不同机器人形态和仿真研究，探讨它们如何推动更通用的具身 AI。
26:02EN
Lex Fridman· 2020年2月9日播客Moore’s Law Is Not Dead—It Is a Cascade of S-Curves主持 Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.
20:34ENLex Fridman· 2019年10月26日播客 · 2 人对谈Teaching Machines the Frameworks Humans Take for Granted嘉宾 David Ferrucci · 主持 Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.
15:01ENLex Fridman播客 · 2 人对谈Deep Learning Is a System 1 Machine: Daniel Kahneman on What AI Still Lacks嘉宾 Daniel Kahneman · 主持 Lex FridmanThe Nobel-winning psychologist tells Lex Fridman how his fast-and-slow thinking framework maps onto deep learning, and why driving among pedestrians may require understanding people.
18:46ENLex Fridman播客Deep Learning Plus One Idea: Ilya Sutskever on Building AGI主持 Lex FridmanIn a May 2020 conversation, Sutskever discusses self-play, simulation, bodies and consciousness, tests of intelligence, and how an AGI might be governed and aligned.
22:59ENLex Fridman播客Penrose on Why Consciousness Can't Be a Computation主持 Lex FridmanRoger Penrose explains how a dissatisfaction with AI optimism, a tip about microtubules and a rethink of quantum mechanics led him to Orch OR.
17:40ENLex Fridman播客From 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.
16:41ENLex Fridman播客AlphaFold 2 and the Protein-Folding Breakthrough: Why Lex Fridman Calls It a Landmark for AI and Biology主持 Lex FridmanA quick explainer on DeepMind's CASP14 result, how protein folding works, how AlphaFold 1 and 2 likely differ, and what the advance could unlock.
24:08ENLex Fridman播客 · 2 人对谈Intelligence Is Not Just Prediction: David Ferrucci on Explanation, Persuasion and Shared Meaning嘉宾 David Ferrucci · 主持 Lex FridmanThe lead of IBM's Watson team argues that predicting well is only half of intelligence, and that being understood by others is the other half.
23:11ENLex Fridman播客 · 2 人对谈Nick Bostrom on Superintelligence: Why the Upside Deserves as Much Attention as the Risk嘉宾 Nick Bostrom · 主持 Lex FridmanIn a clip from the Lex Fridman Podcast, Oxford philosopher Nick Bostrom defines superintelligence, discusses intelligence explosions, and sketches what a good AGI future might look like.
20:36ENLex Fridman播客Why Simple Theories Win: Marcus Hutter on Occam's Razor, Compression and Kolmogorov Complexity主持 Lex FridmanDeepMind researcher Marcus Hutter explains Solomonoff induction, why compression equals understanding, and how a simple universe can still look rich.
20:50ENLex Fridman播客Glitches as Features: What John Hopfield Says Artificial Neural Networks Are Missing主持 Lex FridmanIn a short conversation with Lex Fridman, physicist and neural-network pioneer John Hopfield compares evolved brains with today's artificial networks and explains why he expects AI to borrow from biology generation after generation.
26:51ENLex Fridman播客A Walking Skeleton in a Beautiful Face: Ben Goertzel on What Sophia Really Is主持 Lex FridmanThe former Hanson Robotics chief scientist explains how Sophia works, why she is not AGI, and why he thinks the illusion can still be put to good use.