筛选结果
18 篇排序
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.
2:23:43ENHe Bought an Android, Two SIMs, and Left Claude Watching His Inbox主持 Nathan LabenzNathan Labenz asked a dozen friends how to visit China and got two irreconcilable answers.
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.
1:27:01ENThe $16 Trillion Services Market Is Being Bought, Not Sold To主持 Nathan LabenzMarc Bhargava of General Catalyst explains how AI-enabled rollups turn low-margin service firms into compounding, software-like businesses.
1:28:48ENDoctors code at 45%. The model beat them by 12 points — then 4,000 physicians had to try it once.主持 Nathan LabenzAmbience Healthcare and Cleveland Clinic walk through the AI scribe that cut pajama time, climbed ICD-10 with reinforcement fine-tuning, and won 75% voluntary use.
3:08:35EN → 简体中文o3 不是 AGI,Zvi Mowshowitz 仍把末日概率定在 70%主持 Nathan LabenzZvi Mowshowitz 第九次做客《The Cognitive Revolution》。他认为 OpenAI 的 o3 是工具使用上的飞跃,还够不上 AGI,但仍然解释了他为何把 AI 灾难的概率调高了。
55:05EN400,000 Customers, 100 Million AI Tasks: Zapier’s CEO on Making Computers Do More Work主持 Nathan LabenzWade Foster tells Nathan Labenz how a no-code automation company absorbed LLMs, cloned its CEO with a prompt, and is trying to turn a DIY toolkit into packaged solutions.
2:03:55EN → 简体中文约束越多,智能体(Agent)越值得信任主持 Nathan LabenzAgent.ai 工程负责人 Andrei Oprisan 向 Nathan Labenz 解释,为什么狭窄、规定明确的工作流能胜过开放式的自主性,以及一个 12 人的团队如何在几个月内把一个免费的智能体网络做到超过 40000 名用户。
1:51:00ENStart With Ten Gold Examples: A Three-Step Playbook for AI Automation主持 Nathan LabenzThe day after OpenAI opened GPT-4o fine-tuning, Nathan Labenz unpacks a three-year method for choosing work, extracting tacit judgment, and raising model performance.
2:00:03EN → 简体中文患者认为 GPT-4 比医生更有同理心主持 Nathan LabenzExponential View 的 Azeem Azhar 为 Nathan Labenz 梳理了 AI 的 S 曲线:为什么过去总是显得平缓,为什么共情能力最先被跨越,以及百万倍的算力究竟会改变什么。
1:50:57ENTwenty-Eight Days After GPT-4, an AI Designed and Ran a Chemistry Experiment主持 Nathan LabenzGabe Gomes and his Carnegie Mellon students built Coscientist, a language-model agent that plans, codes, and executes real experiments on a remote cloud lab.
1:18:39ENThe GPT-4 Red-Teamer Who Got Unstuck by a Mediocre Outline主持 Nathan LabenzDan Shipper shows Nathan Labenz how to use ChatGPT as a copilot for thinking, not as a ghostwriter for his own voice.
1:30:21ENA Million DALL-E Images, Distilled into Twelve Minutes of Film主持 Nathan LabenzWaymark’s Stephen Parker and Josh Rubin walk through how they turned stills from DALL-E 2 into The Frost, a narrative short, and what the next generation of video models changes.
39:02ENAI’s product advantage is consistency. Its real weakness is getting conned.主持 Nathan LabenzNathan Labenz updates the Cognitive Revolution scouting report: jailbreaks, resume automation, Med-PaLM’s 40% radiology win, and what might follow Transformers.
1:30:29ENGPT-4 Wins Ten Times More Bill Fights: DoNotPay's Robot-Lawyer War主持 Nathan LabenzGPT-3 thanked Comcast for twenty dollars off. GPT-4 said that was not enough — and the robot lawyer called it an arms race.
1:10:11ENTrying ChatGPT is not the same as using it主持 Nathan LabenzRachel Woods of The AI Exchange tells Nathan Labenz what she learned from more than a hundred company calls: start inside the business, skip the annual tool contract, and expect to be using only a sliver of what the models can already do.
58:26ENSeventy Percent of the Inbox Is a Pitch: Matt Welsh on the First Wave of AI Agents主持 Nathan LabenzThe Fixie.ai founder maps copilot versus delegation, the missing appendages into our systems, and why agents will need guardrails, memory hygiene, and probably an earpiece.
1:25:46ENDon't Make the Tools Agentic: Flo Crivello on What Production Agents Actually Need主持 Nathan LabenzThe Lindy CEO tells Nathan Labenz that most working agents are intelligent workflows with human-designed control flow — and that scaffolding may still matter even if AGI arrives.









