筛选结果
85 篇排序
2:00:51ENResample Every Token and You Can Watch the Model Decide主持 Nathan LabenzGoodfire's Eric Bigelow on forking paths, in-context learning, and why chain-of-thought monitoring is getting harder to trust.
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.
2:13:27EN → 简体中文他写书要叫停 AI 竞赛,自己却差点对 Claude 上了瘾主持 Nathan Labenz记者 Garrison Lovely 相信 AGI 实验室说的话,拒绝“泡沫论”的说法,并主张冻结前沿研发,直到公众真正表示同意。
2:10:42ENThe Exam Papers Nobody Audits主持 Nathan LabenzFrontier labs buy reinforcement-learning environments from a cottage industry of small vendors, and almost nobody checks whether those tests match the real work.
2:13:09ENOne Chain of Thought, 100 Million Tokens: RL Is a Hell of a Drug主持 Nathan LabenzApollo Research's Bronson Schoen on reward-seeking models, invented slang, and why chain-of-thought monitoring will not save us.
2:16:29EN → 简体中文从每月两篇到每月六十篇:两周中国行看到的 AI 安全主持 Nathan LabenzNathan Labenz 认为,那句耳熟能详的“中国绝不会慢下来”,一接触到中国真实的 AI 安全生态就站不住了。
1:57:46EN → 简体中文意识 30%、蜜蜂 47%、人员更替 80%:用数字衡量 AI 正在变成什么主持 Nathan Labenz《The Cognitive Revolution》的周度精选,先从 Cameron Berg 谈模型内部开始,再拉远到“逐步剥夺人类权力”(gradual disempowerment)、欧洲的两难处境,以及围绕智能体(Agent)重新搭建业务的公司。
1:44:28ENFable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed over主持 Nathan LabenzNathan Labenz’s AI in the AM highlights reel from June 2026 covers Anthropic’s new frontier model, the founding of Sequent, and a week that settled one argument: AI is not slowing down.
1:22:36ENA Thousand Researchers, a Million AIs: Frontier Labs Start Talking About the Brakes主持 Nathan LabenzThe first week of AI in the AM follows OpenAI's timeline for an ML-intern model this year and a human-level AI researcher by early 2028 — and the closed-door meeting where labs admitted they might one day need to slow down together.
1:41:58ENA thousand people on guard, a million in the sprint主持 Nathan Labenz80,000 Hours founder Ben Todd on how to spend a career in the years when your impact on AI will actually peak.
3:36:29EN → 简体中文Claude 给自己的福利打了 4.49 分:首个越过中性线的版本主持 Nathan LabenzCameron Berg 再次做客《The Cognitive Revolution》,梳理六个月来在内省、功能性情绪和模型福利(model welfare)方面的研究,并介绍一项尚未发表的案例:学习与感受也许是同一种现象。
3:10:49EN → 简体中文冲刺时刻:Ajeya Cotra 为超级智能到来前的几个月准备的剧本主持 Nathan Labenz一场关于递归自我改进(recursive self-improvement)、公众预警系统,以及用每一代 AI 去对齐(alignment)和控制下一代的对话。
1:49:53ENDon't Fight Backprop: Goodfire's Bet on Designing What Models Learn主持 Nathan LabenzDan Balsam and Tom McGrath return to The Cognitive Revolution with a $150 million Series B, a new research pillar called intentional design, and a rule for anyone who wants to steer training: stop trying to out-muscle gradient descent.
1:34:29ENThree IMO Golds Missed the Same Problem. Harmonic Wants Math to Compile主持 Nathan LabenzVlad Tenev and Tudor Achim built Aristotle to emit Lean proofs a kernel can check—and they argue that is how mathematical superintelligence stays trustworthy.
2:25:42EN → 简体中文专家们争到咖啡时间,也没有定论:AI 能不能造出 AI主持 Nathan Labenz在 Cognitive Revolution 的一场马拉松直播中,一位癌症 AI 研究者、一位前 OpenAI 董事会成员和一位国家安全分析师,各自撞上了这股热潮里一堵不同的墙。
1:04:51EN125 million cells took a decade. The next billion takes months主持 Nathan LabenzMark Zuckerberg and Priscilla Chan on pairing a frontier biology lab with a frontier AI lab so models train on data that was designed for them.
2:25:10EN → 简体中文微调没有死,却把一个乐于助人的模型变得邪恶了主持 Nathan LabenzNathan Labenz 谈为什么大多数工作改由提示词完成而不再微调,涌现式错位(emergent misalignment)到底揭示了什么,以及他如何看待工作、全民基本收入(UBI)和通用人工智能(AGI)。
1:55:02EN → 简体中文AGI 指数基金:MATS 如何筛选下一批 120 名 AI 安全研究者主持 Nathan LabenzMATS 联合执行董事 Ryan Kidd 告诉 Nathan Labenz,他为什么不肯大声喊出时间表,为什么每一种安全技术同时也是能力技术,以及究竟谁能被录用。
1:18:15ENIf AI Becomes a Being, Steering It Is Slavery主持 Nathan LabenzEmmett Shear and DeepMind's Séb Krier clash over whether alignment means controlling a tool or raising a creature that cares.
1:58:48ENARC Went from $1,000 a Task to Pocket Change. That Is Not a Normal Year of AI主持 Nathan LabenzCognitive Revolution’s first live show compresses nine conversations into a year-end scan of denial, sample efficiency, companions, memory, Gemini 3 Flash, and scientific judgment.
1:04:50ENUseful AI Work Is Doubling Every Four Months. Schools Should Plan Accordingly.主持 Nathan LabenzIn a keynote to K-12 educators, Cognitive Revolution host Nathan Labenz argued that task length, not chat quality, is the number that should reshape how schools think.
1:11:18EN → 简体中文坐 Waymo 五分钟就觉得无聊,Nathan Labenz 说这正是重点主持 Nathan Labenz在与 Existential Hope 播客的一期联动中,《认知革命》主持人认为,AI 时代最稀缺的资源是对日常生活的正面图景,而不是又一个末日情景。
2:27:18ENTurn Down AI's Deception Knob, and It Starts Reporting Experience主持 Nathan LabenzCameron Berg of AE Studio tells Nathan Labenz how suppressing deception features in Llama 3.3 70B pushed self-reports of subjective experience toward 100 percent.
1:01:49ENChatGPT's Co-Creator Left to Put Nature in the Reward Loop主持 Nathan LabenzLiam Fedus and Ekin Dogus Cubuk on why language models still fail at physics, why literature data is too noisy to train on, and why Periodic Labs is aiming at a 200K superconductor.
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