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79 篇排序
1:01:55ENA $9 AI nurse, an 86 on the medical boards, and a 10% extinction line主持 Nathan LabenzNathan Labenz’s solo scouting report walks from medical state of the art through how models actually learn, then to live players, scaling trends, and a control plan that still does not exist.
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。
56:56ENA Week of PCB Layout in an Hour: Quilter Trains Agents, Not Imitators主持 Nathan LabenzSpaceX alum Sergiy Nesterenko tells Will Summerlin how Quilter uses reinforcement learning to compile schematics into manufacturable boards, and why cloning human layouts would cap the system at human skill.
1:37:52ENChina Has 17 Million Chatbot Users and No OpenAI主持 Nathan LabenzA Beijing-based watcher walks through China's LLM players, products, regulation, and the delayed bill from the U.S. chip ban.
1:28:37ENTwelve Hours After a GPT-4 Demo, He Turned a Decade-Old Legal Startup Around主持 Nathan LabenzPablo Arredondo, co-founder of CaseText and now VP of CoCounsel at Thomson Reuters, traces legal research from 19th-century citators to a retrieval-anchored GPT-4 product that law firms treat more like a colleague than a search box.
1:50:09ENNine Hundred Occupations, Twenty Years, and Still No AI Revolution主持 Nathan LabenzEconomist Robin Hanson tells Cognitive Revolution why each new AI demo looks like the last one, and why wages and headcount are the tests that matter.
2:00:03EN → 简体中文患者认为 GPT-4 比医生更有同理心主持 Nathan LabenzExponential View 的 Azeem Azhar 为 Nathan Labenz 梳理了 AI 的 S 曲线:为什么过去总是显得平缓,为什么共情能力最先被跨越,以及百万倍的算力究竟会改变什么。
1:30:41ENThe Model Is a Baked Cake. NYT v. OpenAI Will Likely Cut a Middle Path主持 Nathan LabenzTech lawyer Cecilia Ziniti maps the Constitution’s IP clause onto the New York Times lawsuit — and explains why a court is unlikely to order GPT-4 destroyed.
1:22:43ENFive billion minutes of calls: why Dialpad trained its own business LLM主持 Nathan LabenzDan O’Connell on real-time speech, verticalizing the stack, and why he and Nathan Labenz disagree about when AI employees show up.
2:16:27ENSuperhuman Go Has a Blind Spot. Balaji Bets on a War of the Gods主持 Nathan LabenzBalaji Srinivasan tells Nathan Labenz why adversarial inputs, missing actuators, and cryptography make a single runaway AI god less likely than a contest among many that still need priests.
1:14:48ENDevDay Probably Created Thousands of Startups, Says OpenAI's Logan Kilpatrick主持 Nathan LabenzThe day after OpenAI's first developer conference, Dev Relations lead Logan Kilpatrick tells Nathan Labenz why thin wrappers were never companies, why agents were deliberately not shipped fully autonomous, and what $2 million custom models are for.
1:32:41ENThere are maybe 5,000 people who can train frontier models. The rest need AI engineers主持 Nathan LabenzSwyx of Latent Space tells Nathan Labenz how a new job is forming, why OpenAI will Sherlock its developers, and what still does not count as an agent.
58:54ENModels Are Commodities. Perplexity's CEO Says the Index Is the Moat主持 Nathan LabenzAravind Srinivas returns to Cognitive Revolution to explain how a 25-person search startup is building its own crawler, index, and models before the big platforms raise the drawbridge.
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。
1:17:09ENGPT-4 as Teacher, GPT-3.5 as Student: A Nine-Tenths Cost Cut and an AI Bundle Nobody Will Start主持 Nathan LabenzNathan Labenz reports that chain-of-thought traces from GPT-4 train a cheaper, faster 3.5, then argues for flooring the app accelerator, tapping the brake on GPT-5, and bundling a hundred AI tools for a hundred dollars.
2:32:49EN → 简体中文GPT-4 答不对一顶空心礼帽的谜题,好莱坞的 AI 协议只堵上了一半漏洞主持 Nathan Labenz编剧 Trey Kollmer 回来了,带来罢工进展、版权讲解,以及一道连最好的模型也会答错的谜题。
39:02ENAI’s product advantage is consistency. Its real weakness is getting conned.主持 Nathan LabenzNathan Labenz updates the Cognitive Revolution scouting report: jailbreaks, resume automation, Med-PaLM’s 40% radiology win, and what might follow Transformers.
2:59:38EN → 简体中文一家公司比整个中国更让他担心:Zvi 绘制的 AI 前沿地图主持 Nathan Labenz同一个 GPT-4 得到了三种不同的评价,随后是对真正能左右局势的实验室的一次“活跃玩家”巡览。
1:03:40ENWho Banks the AI Wave: Startups or the Giants Already in Place?主持 Nathan LabenzStability AI’s Emad Mostaque and Slow Ventures’ Sam Lessin debate whether generative AI is a reshuffler for new companies or an extender for Meta, Google, and Hollywood.
1:41:45ENThe Writers Aren't Luddites. They're Bargaining Over Who Holds the Models主持 Nathan LabenzThree WGA members tell Nathan Labenz what ChatGPT can already do in a writers’ room — and which two studio nightmares the strike is trying to lock out.
1:28:43ENClinical Guidelines Are 11% Evidence. Curai’s Founder Still Wants GPT-4 in the Exam Room主持 Nathan LabenzNeal Khosla of Curai Health argues that large language models already match median U.S. physicians on today’s tests — and that the real work is scaffolding, supervision, and a doctor’s signature.
1:01:17ENThe $300 million Gates refused, and the $10 billion that went to OpenAI主持 Nathan LabenzRobert Scoble and Ben Tossell talk with Nathan Labenz about AI scouting, Apple's still-sleeping neural engines, and whether incumbents or AI-first startups will win.
1:10:11ENTrying ChatGPT is not the same as using it主持 Nathan LabenzRachel Woods of The AI Exchange tells Nathan Labenz what she learned from more than a hundred company calls: start inside the business, skip the annual tool contract, and expect to be using only a sliver of what the models can already do.
58:30ENHe Couldn't Convince Anyone to Compete with OpenAI. Two Years Later the Valley Is Full of Them.主持 Nathan LabenzSarah Guo and Elad Gil walk Cognitive Revolution through Software 3.0, an 80/20 split with incumbents, and how to tell a fake waitlist from demand that cannot be faked.
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