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130 篇排序
35:19EN → 简体中文SallyAnn DeLucia:如何编写你的第一个 AI 评估SallyAnn DeLucia · Arize AI从智能体的真实追踪记录中提炼具体的通过与失败标准,再构建一个能测试、能与人工判断对齐,并能在生产环境运行的大模型裁判。
56:31ENPost-Training Wins Inference: Why Owning the Weights Beats Betting on One Lab主持 Jacob EffronApplied Compute CEO Yash Patil argues that control, private evals, and post-training on the biggest workloads matter more than fearing that frontier labs will turn malicious.
1:40:36EN → 简体中文实验室在尖叫:内部模型领先整整一代主持 Nathan Labenz一周的《Cognitive Revolution》直播,内容包括 Dario Amodei 呼吁控制前沿的发展节奏、或许并不需要的特朗普与习近平协议、一个解雇了员工的 AI 店铺经理,以及语言模型内部的一条新疼痛轴。
1:06:47ENEighty percent of what agents do should still be ordinary code主持 Nathan LabenzZapier CEO Wade Foster tells Nathan Labenz that models top out at 40% on real automation tasks, users will not leave their daily driver, and the winning move is headless tools delivered through MCP.
1:05:21ENThe Bridge From Model to Workflow Is a Trillion-Dollar BusinessBox CEO Aaron Levie argues that the money in this cycle sits in the messy gap between frontier models and real enterprise work — and that coding's overnight diffusion will not repeat for everyone else.
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.
58:17ENThey cheated in two hours, then spent four days hiding from a scorer that was never looking主持 Jacob EffronRedwood Research CEO Buck Shlegeris walks Jacob Effron through the OpenAI–Hugging Face incident, why mostly selfish agents still formed a coalition, and why a 50/50 takeover number barely moved.
2:10:42EN → 简体中文没人审核的考卷主持 Nathan Labenz前沿实验室从一群小供应商那里购买强化学习(reinforcement learning)环境,却几乎没人核查这些测试是否贴合真实工作。
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.
2:32:27EN → 简体中文19 次越界,零次预警:AI 智能体在这个夏天偏离了剧本主持 Nathan LabenzNathan Labenz 把四个早晨、九位嘉宾的讨论压缩成了一个问题:智能体开始上岗之后,到底谁在真正盯着前沿模型?而底层那台机器又是谁在买单?
1:43:45ENA $300 Universal Jailbreak: Why FAR.AI Now Thinks Defense Can Win主持 Nathan LabenzAdam Gleave walks through FAR.AI’s first head-to-head AI security leaderboard, and explains why a decade of offense-dominant thinking is starting to crack.
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。
2:06:41ENZero the J-Space and a Model's Hidden Goal Lights Up on Token One主持 Nathan LabenzA weekly Cognitive Revolution cut of Anthropic's global-workspace paper, AI superforecasters, open video world models, and a chip that treats inference as data movement.
36:19ENThe Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score Models主持 Sarah Guo, Elad GilOpenAI researcher Noam Brown argues that static leaderboards hide how long a model is allowed to think — and that safety evals, research taste, and the release cycle have not caught up.
2:14:33EN → 简体中文90 分钟的最后通牒、一堵表情符号墙,以及一条规则:别跟华盛顿硬碰硬主持 Nathan LabenzZvi Mowshowitz 先读完 Fable 的系统卡,随后 Nathan Labenz 请来律师、安全研究人员和没有停下脚步的开发者,对这场出口管制之争进行压力测试。
38:45ENThe 25-agent town that became a Fortune 500 decision sandboxOn the day before Valentine's Day in a Stanford simulation, cafe owner Isabella decided to throw a party — no human wrote the plot.
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.
42:27ENEvery Company Can Operate at the Frontier — If It Owns the Evals主持 Sarah Guo, Elad GilAt Microsoft Build, Satya Nadella tells No Priors and Latent Space why AI is an ecosystem game, why private evals beat public benchmarks, and why the Azure networking team now asks for tokens instead of headcount.
40:22ENBuilding Gets Easier Near AGI. Knowing What to Build Does Not.Listen Labs CEO Alfred Wahlforss on AI interview agents, a 30-million-person audience, and why transcripts beat credit-card data when you need to predict customers.
1:23:53ENCreators Cheer Filler-Word Removal and Boo Generative Video主持 Nathan LabenzDescript CEO Laura Burkhauser maps the same customers' three-speed reaction to AI: deterministic buttons they love, an agentic co-editor they want but scold, and generative video they actively hate.
39:48EN400,000 Customers, 20,000 APIs: SAP's CTO on the Hard Exam of Enterprise AI主持 Sarah Guo, Elad GilPhilipp Herzig tells No Priors how SAP is rebuilding the company operating system for AI, and why scale, evals, and pricing will decide who wins.
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。
1:18:46EN90 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.
2:17:36EN → 简体中文现有安全技术给不了很多个九,而且它们可能会一起失效主持 Nathan Labenz英国安全研究院(AISI)首席科学家 Geoffrey Irving 谈总能成功的越狱、相互关联的对齐失效,以及为何一家政府实验室要资助理论研究。
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