筛选结果
38 篇排序
1:30:54ENHumanoids Outran Usain Bolt. DeepMind Still Scores Robotics as GPT-2主持 Nathan LabenzGoogle DeepMind's Gemini Robotics lead on why sprinting is easy, frying an egg is hard, and one brain should drive any body.
1:01:14ENThe Model Eats the Scaffolding: How Google Plans to Ship Agents Everywhere主持 Nathan LabenzThree years after the leaked “no moat” memo, DeepMind’s Gemini leads walk through 3.5 Flash, Omni, and the shared agent harness now running through Google’s products.
1:57:29EN → 简体中文前沿视觉模型得分 12.5%:Joseph Nelson 谈计算机视觉的真实水位线主持 Nathan LabenzRoboflow 的首席执行官向 Nathan Labenz 解释,视觉为何仍落后于语言,如何把 SAM 3 蒸馏成温布尔登可用的边缘模型,以及美国为何几乎从未在开源视觉上领先。
1:55:02EN → 简体中文每天一百次实验,以及材料领域的“死亡之谷”主持 Nathan LabenzRadical AI 两位联合创始人向 Nathan Labenz 讲述,如何通过前沿模型与自驾实验室组成的闭环,把四十年的材料研发周期压缩到十年以内。
1:19:10ENA Robot-Arm Shot That Took Months Now Lives in a Prompt主持 Nathan LabenzLuma Labs’ Amit Jain and Jiaming Song on Ray 2, few-shot camera concepts, and why they think video models sit on the path to multimodal AGI.
1:43:54ENA Year to Grow a Brain Organoid, an Hour to Simulate It主持 Nathan LabenzStanford postdoc Siyu He tells Nathan Labenz how Squidiff and CORAL move single-cell and spatial experiments into the computer — and where the models still cannot go.
3:53:49EN → 简体中文数据只有十二分之一,一个开源视觉模型击败了 GPT-4o主持 Nathan LabenzVeratai 的 Will Hardman 带 Nathan Labenz 梳理了两年来的视觉语言模型(VLM),从 ViT 和 CLIP 讲到 InternVL、BLINK 和 Transfusion。
55:16ENGemini’s API Grew 14× in Six Months. Google’s PMs Explain the Catch-Up.主持 Nathan LabenzLogan Kilpatrick and Shrestha Basu Mallick walk through search grounding, Gemini Flash’s price-latency quadrant, and why a near-tied leaderboard still leaves Google third in most developers’ queues.
54:45ENA Few Megabytes of Doom and a Few Gigabytes of Model: Why Runway Bets on Generalization主持 Nathan LabenzCTO Anastasis Germanidis tells The Cognitive Revolution why video is a fuller record of the world than text, why physics shows up without being programmed in, and how a small lab competes with unlimited compute.
2:04:15ENA parrot cannot paraphrase — and Claude cannot be talked into harm主持 Nathan LabenzRobert Wright of the Nonzero podcast interviews Nathan Labenz on whether large language models understand anything, what Anthropic’s 10 million features actually show, and why open weights collide with U.S.–China policy.
1:16:22ENHe Spent 20 Hours Crafting a Prompt. DSPy Beat Him Anyway主持 Nathan LabenzSander Schulhoff walks through The Prompt Report — a 78-page survey of what actually works when you prompt large language models.
1:37:07EN → 简体中文只靠文字的 AI 诊断胜过全科医生,谷歌却仍不肯上线主持 Nathan Labenz谷歌研究员 Vivek Natarajan 和 Khaled Saab 带 Nathan Labenz 逐一讲解五篇医疗 AI 论文,从放射学报告讲到仍需赢得信任的 AI 医生。
1:10:07ENSame Intelligence, 1% of the Price: Logan Kilpatrick on Gemini Flash主持 Nathan LabenzA former OpenAI developer-relations lead, now the product manager for Google AI Studio, walks through what Gemini 1.5 Flash actually changes for builders.
3:04:52EN → 简体中文医生在九个维度中有八个更青睐 AI:一位 GPT-4 红队测试者的侦察报告主持 Nathan LabenzNathan Labenz 在 80,000 Hours 播客上讲述 2023 年末的系统已经能做什么、哪些门槛仍然重要,以及两极化的政策之争为何反而成了强硬监管的礼物。
1:34:11ENFrom forty hours in a scanner to one: reconstructing what you see from a shared brain space主持 Nathan LabenzPaul Scotti explains how MindEye2 maps a new person's fMRI into CLIP with an hour of data, and why a linear layer plus better image generators changed the cost of reading minds.
1:01:53ENCompanion Apps Open Twice as Often as TikTok. a16z Only Funds Weird but Working主持 Nathan Labenza16z consumer partners Anish Acharya and Justine Moore walk Nathan Labenz through their Abundance Agenda for AI-native consumer apps.
1:21:28ENThe Prompt Is a Bug: Suhail Doshi’s Bet on Control Over Pixels主持 Nathan LabenzThe Mixpanel founder tells Nathan Labenz how a cloud browser, a canceled tweet, and a Thursday weight drop shaped Playground AI’s bet on images.
1:17:20ENHume wants well-being in the objective function, measured 53 emotions at a time主持 Nathan LabenzAlan Cowen tells Nathan Labenz how Hume AI reads face, voice, and language, sells custom models at $1.66 an hour, and wants long-horizon well-being to override every other AI goal.
1:19:24ENA Toy Paper Did Not Prove LLMs Cannot Generalize. The Discourse Still Ran With It.主持 Nathan LabenzNathan Labenz and Erik Torenberg unpack a viral DeepMind result, a weekend reproduction, and a premature war over voluntary AI commitments.
1:36:39EN → 简体中文OpenAI 的 500 万美元押注:60 人团队想让 GPT-4V 赋予汽车常识主持 Nathan LabenzGhost Autonomy 联合创始人 John Hayes 在 Cognitive Revolution 节目里说,把多模态模型放进驾驶路径,可能会让自动驾驶在二十年的 DARPA 时代技术栈之后重新起步。
1:14:48EN → 简体中文首届开发者大会(DevDay)或许催生了数千家创业公司,OpenAI 的 Logan Kilpatrick 这样说主持 Nathan LabenzOpenAI 首届开发者大会次日,开发者关系负责人 Logan Kilpatrick 对 Nathan Labenz 讲了:为什么薄薄一层 API 封装从来不算公司,为什么智能体(Agent)没有被做成完全自主的,以及 200 万美元起的定制模型到底有什么用。
1:32:40ENThe Historian Who Taught GPT-3.5 to Beat GPT-4主持 Nathan LabenzMark Humphries on a kilometer of unread paper, fur-trade jargon that embeddings cannot see, and why cheap processing will force history to be rewritten.
2:17:30EN → 简体中文Gemini 成了日常主力;名副其实的 GPT-5 才能让智能体真正跑起来主持 Nathan LabenzZvi Mowshowitz 再次做客 Cognitive Revolution,聊 Gemini 1.5、Sora、超级对齐(superalignment)、潜伏代理(sleeper agent),以及前沿实验室的实时格局。
55:08ENOne Model Inside 38 Products: Paige Bailey on How Google Trains and Ships PaLM 2主持 Nathan LabenzAt Google I/O in May 2023, PaLM 2 arrived already running in more than two dozen products — and its lead product manager walks through what that actually took.
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