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7 张幻灯片35:19EN → 简体中文
AI Engineer· 2026年10月25日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。评估与可观测性评估智能体工程+2
1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月1日播客From 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can Explore主持 Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.企业与战略微调Agent orchestration+3
1:18:49EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月8日播客If 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.安全AI security智能体工程+3
48:00EN
Unsupervised Learning: With Jacob Effron· 2025年12月15日播客A Two-Second Vote Is Training Models to Be Clickbait主持 Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.评估与可观测性RL environments & simulatorsData quality & curation+3
38:48EN
Cognitive Revolution "How AI Changes Everything"· 2025年6月14日播客Task Length Doubles Every Few Months. Nathan Labenz Still Wants Humans in Charge主持 Nathan LabenzAt Imagine AI Live, the Cognitive Revolution host maps structured AI agents against autonomous agentic systems—and tells businesses to keep final control.智能体智能体工程安全与治理+3
44:21EN
Unsupervised Learning: With Jacob Effron· 2025年6月4日播客Mercor's CEO: Knowledge Work's Next Job Is Writing Evals主持 Jacob EffronBrendan Foody tells Redpoint how Mercor turned AI hiring and expert data into a $100 million round — and why he thinks a huge slice of white-collar work will become creating tests for models.评估与可观测性评估Data quality & curation+3
51:19EN
Unsupervised Learning: With Jacob Effron· 2025年4月29日播客Sal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the Product主持 Jacob EffronThe Khan Academy founder tells Redpoint why an AI tutor still cannot teach most students alone, and why districts are paying $15 a year after an $86 billion tutoring hangover.产品与体验AI in EducationProduct Strategy+3
57:11EN
Unsupervised Learning: With Jacob Effron· 2025年1月30日播客A Million Tokens Cannot Write a Good Joke主持 Jacob EffronPrinceton's Arvind Narayanan on why agent evals mislead, inference scaling hits a wall, and AI looks more like the internet than an overnight revolution.评估与可观测性评估Benchmarks+3
1:33:01EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月15日播客Rare Diseases Are Common: How a Harvard Gene Hunter Uses o1-pro on the Cases Sequencing Already Missed主持 Nathan LabenzDr. Catherine Brownstein of Boston Children's Hospital explains why cheap genomes made her job harder, why data sharing still beats any model, and where ChatGPT Pro actually gives her hours back.AI in healthcareReasoning & test-time computePrompting & in-context learning+3
1:01:53EN
Cognitive Revolution "How AI Changes Everything"· 2024年12月18日播客Humans 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.智能体Agent orchestrationMulti-agent systems+3
1:29:00EN
Cognitive Revolution "How AI Changes Everything"· 2024年12月11日播客14,000 people applied. Thirty-three got in. The jobs are at Homeland Security.主持 Nathan LabenzMichael Boyce, director of the DHS AI Corps, tells Nathan Labenz how the largest civilian AI team in the U.S. government is being built — and what it is already shipping.企业与战略企业 AIAI Strategy+3
1:55:53EN
Cognitive Revolution "How AI Changes Everything"· 2024年12月5日播客AI Beats Humans at Reading Papers. It Still Cannot Count Atoms.主持 Nathan LabenzAndrew White, Head of Science at Future House, maps what language models can already do in chemistry and biology—and the bottlenecks they do not dissolve.智能体AI for science检索增强生成+3
1:23:37EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月23日播客Nine of the top ten research ideas were Claude's主持 Nathan LabenzStanford PhD student Chenglei Si ran a blind study pitting Claude 3.5 Sonnet against more than a hundred NLP researchers on novel research ideas.评估与可观测性评估Benchmarks+3
1:23:09EN
Cognitive Revolution "How AI Changes Everything"· 2024年4月3日播客The Right Size of an AI Task Is Whatever You Can Check主持 Nathan LabenzElicit founders Andreas Stuhlmüller and Jungwon Byun walk through how a twelve-person research assistant cut summary hallucinations from 1.5 to 0.5, ships about every week and a half, and treats task decomposition as the way to spend more compute without a black box.RAG 与知识库检索增强生成Search & retrieval+3
1:28:37EN
Cognitive Revolution "How AI Changes Everything"· 2024年3月14日播客Twelve Hours After a GPT-4 Demo, He Turned a Decade-Old Legal Startup Around主持 Nathan LabenzPablo Arredondo, co-founder of CaseText and now VP of CoCounsel at Thomson Reuters, traces legal research from 19th-century citators to a retrieval-anchored GPT-4 product that law firms treat more like a colleague than a search box.企业与战略检索增强生成评估+3
1:33:51EN
Cognitive Revolution "How AI Changes Everything"· 2023年5月23日播客GPT-4 still writes SQL that will not run. She put a guardrail on the model主持 Nathan LabenzShreya Rajpal built Guardrails AI so developers can encode what “correct” means, validate the pieces, and send failures back to the model instead of hoping the prompt holds.安全评估人工介入验证+3
1:28:43EN
Cognitive Revolution "How AI Changes Everything"· 2023年5月16日播客Clinical 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.企业与战略AI in healthcareProduct Strategy+3
58:24EN
Cognitive Revolution "How AI Changes Everything"· 2023年5月11日播客Among 100 Random Doctors, Zak Kohane Would Be Surprised If One Beat GPT-4主持 Nathan LabenzHarvard's biomedical informatics chair on a rare newborn case, why drug-style trials will not certify a general medical model, and why the AI should still work for the patient.AI in healthcare评估Human-AI Collaboration+3
58:26EN
Cognitive Revolution "How AI Changes Everything"· 2023年4月25日播客Seventy 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.智能体智能体工程Agent memory+3
1:56:16EN
Cognitive Revolution "How AI Changes Everything"· 2023年4月6日播客They Used Humans as Stand-In AIs. Now 250,000 People Run Elicit.主持 Nathan LabenzOught's founders tell Nathan Labenz why open-ended reasoning has to be decomposed, supervised, and grounded—not scaled until it merely looks persuasive.RAG 与知识库智能体工程评估+3
1:25:46EN
Cognitive Revolution "How AI Changes Everything"· 2023年3月22日播客Don'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.智能体智能体工程Personal agents+3
1:00:38EN
Lex Fridman· 2017年12月6日播客The Race Car and the Rulebook: Chris Gerdes on Automated Vehicle Safety主持 Lex FridmanA Stanford engineer and former DOT innovation chief explains how autonomous racing, voluntary safety guidance, and data sharing could shape safer self-driving cars.安全Autonomous Driving安全与治理+3