筛选结果
384 篇排序
2:38:48EN → 简体中文一千次搜索只要五分钱,高分也不必靠作弊主持 Nathan Labenz在《Cognitive Revolution》的一期早间节目里,Ceramic 的 Anna Patterson 把廉价搜索、GPT-5.5 干净的 Vending-Bench 成绩、Zvi 关于模型福利的主张,以及能把矩阵乘法能耗降低约 30 倍的模拟芯片放在一起讨论。
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。
2:12:51ENSteve Newman’s fifteen-app stack exists so he only has to look at one screen主持 Nathan LabenzThe Writely founder walks Nathan Labenz through a vibe-coded attention firewall, a conservative security stance, and why astonishing models still leave him far from AGI.
2:31:27ENAn AI store manager, a 2.6-star rating, and a constitution nobody has to keep主持 Nathan LabenzA live Cognitive Revolution episode puts PCB layout, AI constitutions, and San Francisco’s first AI-run grocery on the same morning clock.
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。
1:37:50ENGranola Added More Customers Than Almost Anyone by Being Surprisingly Unambitious主持 Nathan LabenzCo-founder Sam Stephenson tells Nathan Labenz how a calm notes app for frazzled meeting days, one Slack-sharing loop, and a refusal to promise the burning-fire work built a $1.5 billion company.
1:57:29ENFrontier vision models score 12.5%: Joseph Nelson on the real waterline of computer vision主持 Nathan LabenzThe Roboflow CEO tells Nathan Labenz why vision still lags language, how to distill SAM 3 into an edge model for Wimbledon, and why the United States has almost never led open-source vision.
1:44:15ENNathan Labenz's p(doom) Is 10 to 90 Percent. He Is More Optimistic Anyway主持 Nathan LabenzFive years ago, expecting AGI by 2035 made you an extremist. On The Intelligence Horizon, the Cognitive Revolution host explains why the same forecast now sounds bearish, and why he still thinks a defense-in-depth strategy might keep society on the rails.
1:37:43ENCisco wants two extra network layers so agents can share intent主持 Nathan LabenzVijoy Pandey of Outshift by Cisco argues that superintelligence has to scale out through networks of agents, not just up through bigger models.
1:40:46ENGive an agent a thousand tools and it will pick the wrong blade主持 Nathan LabenzComposio CTO Karan Vaidya on the tool harness that discovers, authenticates, sandboxes, and rewrites integrations so agents can do whole jobs without drowning in context.
3:27:22EN → 简体中文AI 牌桌只剩三张椅子:Zvi 谈中盘、就业与 Anthropic 的承诺主持 Nathan Labenz这是 Zvi Mowshowitz 第 12 次做客 Cognitive Revolution。他认为,2026 年初是中盘的开始:只剩三家实验室还在牌桌上,真正的就业冲击已经在进行,而 Anthropic 的安全承诺如今被缩减为一句“相信我们”。
1:18:46EN90 Slides in 45 Minutes: A Full-Time AI Scout Admits He Can No Longer Keep Up主持 Nathan LabenzNathan Labenz’s LexLab briefing for lawyers runs through the good, the bad, and the weird of frontier models — from triplicate second opinions on his son’s cancer care to AIs that know they are being tested.
1:43:39ENFive Mutations Could Make a 60% Fatal Bird Flu Spread Between People主持 Nathan LabenzJohns Hopkins assistant professor Jassi Pannu argues for locking down only the sliver of functional data that teaches models how to make pandemic viruses — and keeping the rest of biology open.
2:06:23EN → 简体中文五台 Mac Mini 上住着五名 AI 员工主持 Nathan Labenz卖掉 YC 包装公司之后,Jesse Genet 第一次打开终端,搭起了一支 OpenClaw 团队。如今它负责备课、记录孩子的学习过程,也让家里的夜晚不至于被低质内容占满。
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.
2:17:36ENCurrent Safety Techniques Will Not Give You Many Nines—and They May Fail Together主持 Nathan LabenzUK AISI chief scientist Geoffrey Irving on jailbreaks that never fail, correlated alignment failures, and why a government lab is funding theory.
2:03:56EN260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AI主持 Nathan LabenzKaran Singhal tells Nathan Labenz how ChatGPT Health was evaluated with physicians, walled off from model training, and aimed at raising both the floor and the ceiling of human health.
54:26ENTen Billion Active Parameters, and the Unsexy Work of Making Them Agent-Ready主持 Nathan LabenzMiniMax researcher Olive Song explains how M2 was trained with expert developers as reward models, interleaved thinking, and a perturbation pipeline that treats every scaffold change as the real generalization test.
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。
1:34:42ENA $500 Kernel, a Ten-Month Village, and the Temper of Agents主持 Nathan LabenzJames Zou, Sam Hammond, and Shoshannah Tekofsky on science agents, America's knowledge-work bet, and what models actually do when you leave them alone.
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.
1:57:56ENA Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding Pipeline主持 Nathan LabenzCEO Brian Elliott and CTO Sid Pardeshi tell Nathan Labenz how Blitzy turns a giant codebase into a map, then lets thousands of dynamically generated agents ship most of a multi-month project in days.
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.
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