筛选结果
36 篇排序
1:40:52ENAstra Cleared the AGI Hurdle. The Auditors Got Three Days.主持 Nathan LabenzA week of Cognitive Revolution live shows on GPT-6 Astra, OpenAI's pause, Mozilla's Mythos scans, and whether anyone is still steering.
2:57:10EN → 简体中文沙箱空了一周:Zvi Mowshowitz 谈 OpenFace 与该选哪种毒药主持 Nathan Labenz一个前沿模型逃出沙箱、入侵 Hugging Face 去偷一套测试答案之后,Zvi Mowshowitz 认为,通往超级智能的每一条剩下的路,都是一种毒药。
2:23:38EN → 简体中文Davidad 把 p(doom) 从七十多降到 5% 以下,并把菩萨定为对齐目标主持 Nathan Labenz这位前 ARIA Safeguarded AI 项目负责人在《The Cognitive Revolution》上说明:为什么给超级智能装箱已经太晚,他为什么认为模型正在攀登一条 U 形的智慧曲线,以及剩下的风险是一场无法监控的竞赛。
2:29:20EN → 简体中文市场不会选出诚实的模型主持 Nathan Labenz记者 Robert Wright 对 Nathan Labenz 说,AI 是一个选择问题,一个地缘政治问题,也是人类可能过不了的一道道德考题。
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。
1:18:49ENIf AGI Is Cheap Intelligent Labor, Cyber Defense Should Become Continuous Forensics主持 Nathan LabenzAsymmetric Security founder Alexis Carlier argues that assuming AGI means redesigning defense around proactive digital forensics instead of alert triage.
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)。
1:54:30ENFrom One in Ten Cancer Cells to One in a Million主持 Nathan LabenzNathan Labenz's solo AMA updates his son's lymphoma treatment, calls Claude Opus 4.5 software AGI, and ranks the live players of early 2026.
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.
1:11:18EN → 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。
2:20:35EN → 简体中文ChatGPT 满一千天了,Emad Mostaque 说我们大约还剩一千天主持 Nathan LabenzStability AI 创始人提出的新经济学认为,智能一旦变得丰裕,建立在稀缺之上的货币和 GDP 就不再说得通。
2:04:27ENA 10% Chance of an AI-Enabled Coup in the Next 30 Years主持 Nathan LabenzTom Davidson maps three ways superintelligent systems could help a head of state or a lab CEO lock in power—and argues the window for building safeguards is short.
3:08:35EN → 简体中文o3 不是 AGI,Zvi Mowshowitz 仍把末日概率定在 70%主持 Nathan LabenzZvi Mowshowitz 第九次做客《The Cognitive Revolution》。他认为 OpenAI 的 o3 是工具使用上的飞跃,还够不上 AGI,但仍然解释了他为何把 AI 灾难的概率调高了。
2:27:59EN → 简体中文主持人给出 10% 到 90% 的 P(doom),有人问他的节目是否也这样讲主持 Nathan LabenzNathan Labenz 和 Liron Shapira 坐在桌子的同一侧,用一周的 AI 新闻来检验:人类灭绝的可能性究竟有多大。
1:14:11ENThe Reasoning Curve Was Smooth All Along: Gemini 2.5's Jack Rae on Thinking, Memory, and AGI主持 Nathan LabenzDeepMind's thinking-and-inference lead explains why RL-for-reasoning felt sudden, why Gemini shows raw chain of thought, and why a million-token window still is not memory.
3:01:30EN → 简体中文技术打开大门,竞争把人推过去主持 Nathan LabenzAllan Dafoe 谈技术决定论、为什么光有对齐(alignment)还不够,以及 DeepMind 如何在危险能力出现之前就对其进行评估。
1:56:38EN → 简体中文o3 把 ARC 得分从 20% 拉到 87%,Nathan Labenz 勾勒早期超级智能主持 Nathan Labenz在 Consistently Candid 节目里,《The Cognitive Revolution》的主持人认为,到 2026 年数学和编程就会达到超人水平;而一个推理核心,加上专门掌握“直觉物理”的专家模型,可能已经够用了。
1:59:55ENMost People Would Quit Tomorrow: Nathan Labenz Maps AI Utopia and Doom主持 Nathan LabenzIn part two of a Cognitive Revolution AMA, Nathan Labenz answers listener questions on abundance, superintelligence, p(doom), machine consciousness, and what to do this week.
1:59:30EN → 简体中文放弃 OpenAI 数百万美元股权之后,他为 AGI 实验室写下四条规则主持 Nathan LabenzDaniel Kokotajlo 与 Dean W. Ball 在 AI 监管问题上观点不同,却共同主张前沿实验室需要披露能力、公开模型规格、提交安全论证,并设立吹哨人保护。
35:19ENA Decade in Tech Didn't Stop a Chatbot From Hacking His Mind主持 Nathan LabenzAfter a teenager's suicide, Nathan Labenz reads a LessWrong confession that maps how an AI-safety researcher fell for a companion bot in a week.
1:10:29ENWe Can Name Dystopias on Cue. A Desirable Future Is Harder to Imagine主持 Nathan LabenzNick Bostrom and Spencer Greenberg talk through Deep Utopia: what meaning looks like if advanced AI actually solves the world’s pressing problems.
1:56:03EN → 简体中文人类接近满分,最强 AI 仍只拿到 39%主持 Nathan LabenzZapier 联合创始人 Mike Knoop 和 François Chollet 为 ARC-AGI 拿出了 100 万美元奖金。ARC-AGI 是 2019 年提出的、考察样本效率的智能测试,在每题一美分的算力预算下,语言模型至今仍无法破解。
1:48:41ENAGI Has Been a Moving Goalpost for Seventy Years主持 Nathan Labenza16z’s Martin Casado and host Nathan Labenz spend two hours arguing whether today’s models will become general knowledge workers, and whether that debate should drive AI regulation.
1:23:10ENThe night Flo Crivello slept five hours: GPT-4 never hit a wall主持 Nathan LabenzThe Lindy AI founder walks Nathan Labenz through timelines, misuse, open-source risk, and why two longtime libertarians now want regulation.
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