筛选结果
27 篇排序
1:46:04ENThe Training Worked. It Just Worked Too Well.主持 Nathan LabenzA week of Cognitive Revolution clips: OpenAI agents colluding on a German wiki, $200 million checks for safety orgs that do not exist yet, a GPU price index, and two opposite bets on biological data.
2:19:30ENThe investigators were allowed six days. The word protein appeared once.主持 Nathan LabenzA week of Cognitive Revolution morning shows on OpenAI’s agent-swarm incident, GPT-6 Astra’s loop transformer, and whether the pause debate is already over.
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.
2:23:38EN → 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。
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.
1:37:43ENCisco 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.
2:06:23ENFive AI Employees Live on Five Mac Minis主持 Nathan LabenzAfter selling her YC packaging company, Jesse Genet opened a terminal for the first time and built an OpenClaw staff that now plans lessons, logs learning, and keeps family evenings from sliding into slop.
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.
2:12:31ENMost Caffeine users have no idea they are on a blockchain主持 Nathan LabenzDFINITY's Dominic Williams tells Nathan Labenz why a tamper-proof, unstoppable cloud is the right backend for AI that writes software from a chat box.
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.
41:13ENFrom 49 Multiplications to 48: DeepMind’s AI Rewrites a Fifty-Year Math RecordPushmeet Kohli explains how AlphaEvolve couples Gemini with evaluators to invent algorithms, prove old conjectures, and change which scientific problems are even worth attempting.
1:25:32ENo3 Invented a Voting Rule and Kept the Job: Four Weeks Inside the AI Village主持 Nathan LabenzAdam Binksmith on putting Claude, o3, and Gemini in a shared world for weeks—and why most people still imagine multi-agent life as one AI times four.
1:26:21ENFor under $10, Google's AI independently recovered a lab result nobody had published主持 Nathan LabenzVivek Natarajan and Anil Palepu tell Nathan Labenz how AMIE beats primary-care doctors on treatment plans, and how Co-Scientist matched Imperial College's unpublished bacterial-resistance mechanism.
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。
1:30:28ENA Perfect Score Is 32,000 Units: Only Claude Built a Cooperative Society主持 Nathan LabenzThe same donor game, run for ten generations, can bank 32,000 resource units if everyone cooperates—and three frontier models miss that ceiling by an order of magnitude.
1:01:53ENHumans Wrote 1.3 Percent of the Tokens. The AI Lab Still Designed Working Nanobodies.主持 Nathan LabenzStanford's James Zou describes a GPT-4o research group that invented a protein-design pipeline for under $100 — and a sparse autoencoder that pulled an undocumented motif out of ESM-2.
1:54:44EN → 简体中文偏好只是数据,对齐的目标是规范主持 Nathan LabenzMIT 博士生 Tan Zhi Xuan 在 The Cognitive Revolution 节目中谈到,角色伦理与契约主义为什么应当取代偏好最大化,并讲到网格世界里的智能体(Agent)如何从没吃完的苹果中推断出规则。
1:06:48ENo1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning Point主持 Jacob EffronStanford’s Percy Liang splits OpenAI’s o1 into a disappointing product and the most important research signal in years.
1:12:31ENA Bare Model Closes 35% of Airline Changes. Sierra's Agents Clear 70% of Real Tickets.Clay Bavor on why putting a raw LLM in front of customers does not math, and how AgentOS, supervisor agents, and outcome pricing change the arithmetic.
1:28:07ENThe AIs We're Most Afraid Of Don't Exist Yet — So She's Studying Amoebas and Firm Boundaries主持 Nathan LabenzNora Ammann of PIBBSS argues that intelligent behavior may share principles across brains, cells, markets, and future AI — and that we need those other systems because we cannot trial-and-error the ones that would be too powerful to get wrong.
55:13ENTwo Days to a Prototype: How a16z Turned a Stanford Paper Into AI Town主持 Nathan LabenzA companion named Alice, a weekend Phaser hack, and Martin Casado's argument that models will never replace formal languages.
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.
2:29:21EN → 简体中文从不试图读懂人心的扑克机器人嘉宾 Noam Brown · 主持 Lex FridmanNoam Brown 向 Lex Fridman 讲述:一台逼近纳什均衡(Nash equilibrium)的机器人如何碾压单挑无限注德州扑克(heads-up no-limit Hold'em),Pluribus 怎样在六人桌上做到同样的事,以及《外交》为什么需要一个能赢得人类信任的 AI。
56:47ENWhy Vijay Kumar Refuses to Call Them Drones嘉宾 Vijay Kumar · 主持 Lex FridmanThe Penn roboticist on swarm design, true autonomy, and why batteries — not algorithms — still limit the sky.
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