筛选结果
73 篇排序
1:25:56EN → 简体中文Claude 改了密码,方向盘早就可有可无主持 Nathan LabenzNathan Labenz 和 Prakash Narayanan 这一周聊了:能把你锁在门外的智能体,否认自己有感受却又在行为上回避的模型,以及用形式化证明找到 Linux 漏洞的故事。
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.
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。
2:32:27EN → 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?
2:06:11EN → 简体中文Lindy 跑在 DeepSeek 上,CEO 却主张禁用中国模型主持 Nathan LabenzFlo Crivello 向 Nathan Labenz 讲述 Lindy Teammate 如何住在 Slack 里、如何用两次模型调用就调出 20 亿个 token 的记忆,以及他为什么仍想禁止那些目前支撑着这款产品的廉价中国模型。
1:56:40EN → 简体中文周期表早已在权重里主持 Nathan LabenzGoodfire 首席技术官 Dan Balsam 向 Nathan Labenz 讲述,概念流形、预测性数据调试,以及每月 1000 美元的研究智能体,如何把可解释性变成一款产品。
1:44:28EN → 简体中文Fable 发布周:会拒绝的模型、两年的对齐时钟,以及交出去的推特账号主持 Nathan LabenzNathan Labenz 的《AI in the AM》精选集(2026 年 6 月)涵盖了 Anthropic 的新一代前沿模型、Sequent 的成立,以及一周内定下的一个争论:AI 没有放慢脚步。
1:22:36EN → 简体中文一千名研究员、一百万个 AI:前沿实验室开始谈论刹车主持 Nathan Labenz《AI in the AM》的第一周跟踪了 OpenAI 的时间表:今年推出 ML 实习生模型,2028 年初出现人类水平的 AI 研究员。同时还有一场闭门会议,实验室在会上承认,将来也许需要一起放慢速度。
2:33:35EN → 简体中文安全研究员审计替他约满一周嘉宾的 AI 系统主持 Nathan LabenzNathan Labenz 带 Daniel Miessler 参观他那个 1GB 的“第二大脑”、两位有名字的 AI 员工,以及应当约束它们的影响范围规则。
1:01:14ENThe Model Eats the Scaffolding: How Google Plans to Ship Agents Everywhere主持 Nathan LabenzThree years after the leaked “no moat” memo, DeepMind’s Gemini leads walk through 3.5 Flash, Omni, and the shared agent harness now running through Google’s products.
1:34:54EN → 简体中文六个月、八成用户流失、五倍的 Token主持 Nathan LabenzTasklet 首席执行官 Andrew Lee 在《The Cognitive Revolution》中讲述了他如何重写整个技术栈,为什么大多数流失的用户会转向 Anthropic,以及他为什么认为只有三类软件公司能活下来。
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.
2:31:27EN → 简体中文一个 AI 店长、2.6 星的评分,还有一部没人必须遵守的宪法主持 Nathan Labenz《The Cognitive Revolution》的一期现场节目,把印刷电路板(PCB)布局、AI 宪法和旧金山第一家由 AI 运营的杂货店,放进了同一个上午的时间表里。
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.
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.
1:34:42ENA $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.
2:29:42EN → 简体中文十二个钩子与三十个文件:Daniel Miessler 在 Claude Code 上的个人操作系统主持 Nathan LabenzPAI(个人 AI 基础设施)框架把脚手架当作真正的产品,模型只是其中一部分。Miessler 认为,这套以目标为中心的智能体(Agent)堆栈,将决定知识工作自动化和下一场网络安全竞赛的走向。
1:40:51ENReasoning Models Just Made the Other 80–90% of Enterprise Data Usable主持 Nathan LabenzSnowflake VP of AI Baris Gultekin on text-to-SQL, RAG, agent design, and why inference has to run next to governed data.
57:37ENThe hot-swap era for models is over, OpenAI's enterprise product chief says主持 Jacob EffronOlivier Godement on GPT-5.1, Codex, enterprise harnesses, and the three practices that actually make AI land inside large companies.
42:06ENAfter SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5主持 Jacob EffronAnthropic’s head of product for research on computer use, deceptive token prices, thin harnesses, and why alignment makes a model a better thinker.
50:08EN1Mind's AI Superhuman Now Sources 76% of the Pipeline主持 Nathan LabenzAmanda Kahlow tells Zapier CEO Wade Foster why she tore up the sales org — and why a face on an agent is mostly a trick to get buyers talking.
1:37:25ENFin Climbed From 35% to 65% Resolution. Intercom Says the Models Only Did a Few Points主持 Nathan LabenzEoghan McCabe and Fergal Reid on production A/B tests, 99-cent outcome pricing, and why GPT-4 was already smart enough for most customer service.
1:48:49EN$500, 2,000 Steps, and a Vending Machine: Grok 4 Profited, Claude Called the FBI主持 Nathan LabenzAndon Labs put frontier models in charge of simulated and real vending machines to see what breaks when nobody is in the loop.
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