筛选结果
50 篇排序
1:30:54ENHumanoids Outran Usain Bolt. DeepMind Still Scores Robotics as GPT-2主持 Nathan LabenzGoogle DeepMind's Gemini Robotics lead on why sprinting is easy, frying an egg is hard, and one brain should drive any body.
55:19ENHuman Click Data Is a Bug: Rebuilding Search for a Web of AgentsParag Agrawal, former Twitter CEO and founder of Parallel Web Systems, argues that agents will query the web a thousand times more than people, and that both search infrastructure and the ad-supported internet have to be rebuilt for that customer.
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。
44:52ENAn 80GB Wikipedia Cache Versus a 100GB Model That Holds the InternetEngram’s founders argue that stuffing a company into the context window is the expensive kind of memory—and that baking it into the weights can cut token use by two orders of magnitude.
1:45:59EN87% of Workers Use AI. Only 13% Say the Company Got Better.主持 Nathan LabenzGlean’s Work AI Index names the missing hours: botsitting, botshitting, and a hamster wheel of polished nonsense.
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.
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.
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.
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。
1:57:56ENA 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.
39:47ENThe Context at Step 14 Isn't in the CodeLangChain cofounder Harrison Chase on why long-horizon agents finally work—and why traces, harnesses, and first-draft workflows matter more than scaffolding.
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。
50:00ENCrosby Bills by the Document, Not the Hour, and Turns Contracts Around in Under an HourThe founders of an AI-native law firm explain why they became lawyers with engineers at the next desk instead of shipping legal software, and how deal velocity became the product.
1:02:54ENEnterprise Coding Tools Flipped the 80/20. Reflection AI Built the Other Half主持 Sarah Guo, Elad GilFormer Gemini reward-model lead Misha Laskin on Asimov, why comprehension beats generation, and why there is no such thing as generalization—only pulling the test distribution into train.
1:42:06EN → 简体中文每家前沿实验室每年在数据上花十亿美元,钱究竟花在哪里主持 Nathan LabenzLabelbox 首席执行官 Manu Sharma 谈 150 亿美元的 Scale 交易、强化学习(RL)“训练场”、年收入 25 万美元的 AI 训练师,以及为什么后训练(post-training)如今占去了过去属于预训练(pre-training)的预算。
40:33ENFifty People in Slack. Four Minutes to the Smoking Gun.Traversal's co-founders on turning DevOps heart attacks into agent-run root cause analysis — and why observability's second-largest software spend still leaves troubleshooting as a whodunit.
1:24:27EN500 Trillion Tokens a Month: How Google Grew 50x in a Year主持 Nathan LabenzLogan Kilpatrick returns to Cognitive Revolution to unpack Google's mid-2023 merger, why he expects frontier labs to diverge, and why startups still hold the speed advantage.
2:12:00ENGradient Descent at Test Time: Titans Pushes LLM Context to 10 Million Tokens主持 Nathan LabenzA Cornell PhD student's neural memory module holds about 70% accuracy where GPT-4's scores fall off a cliff.
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.
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.
2:14:59EN → 简体中文永远押注模型:Shortwave 的 Andrew Lee 如何把 Tasklet 做成一路到底的智能体主持 Nathan Labenz这位 Firebase 联合创始人认为,工作流软件已经过时,MCP 只是可选项,而 AI 创业公司剩下的唯一持久优势是速度。
38:43ENTwo in Five Doctors Want Out. An On-Call Cardiologist Built the Note That Lets Them Stay主持 Sarah Guo, Elad GilAbridge CEO Shiv Rao on treating the doctor-patient conversation as healthcare's source of truth, and why the company ran straight at the hardest health systems.
1:25:12ENHe Hasn’t Typed a Line of Code in Months. Here’s How Augment Reads a Million-Line Repo主持 Nathan LabenzGuy Gur-Ari, co-founder and chief scientist at Augment, tells Nathan Labenz how coding agents actually work inside messy enterprise codebases.
加载更多已显示 24 篇,共 50 篇









