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48 篇
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10 张幻灯片18:31EN → 简体中文
AI Engineer· 2026年10月25日Janie Gu 与 Suyeol Yun:为什么前沿模型做不好买方分析师Janie Gu, Suyeol Yun · Google DeepMindJanie Gu 解释了基准分数为何可能误导人;Suyeol Yun 则介绍 MandateBench,它测试模型能否把基金投资授权转化为有理有据的投资备忘录。两场分享说明,真实工作流程、可复现的评分和有证据支撑的推理为何至关重要。金融 AIBenchmarks评估+2
1:43:45EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月30日播客A $300 Universal Jailbreak: Why FAR.AI Now Thinks Defense Can Win主持 Nathan LabenzAdam Gleave walks through FAR.AI’s first head-to-head AI security leaderboard, and explains why a decade of offense-dominant thinking is starting to crack.安全AI security安全与治理+3
1:10:15EN
Sequoia Capital· 2026年6月30日播客The 100x lives between the layers: Dylan Patel on co-design and a 60x yearSemiAnalysis’s founder argues that matching models, kernels, and silicon is what turns a 2x here and a 2x there into 100x, while equivalent-quality inference has gotten about 60 times cheaper in a year.基础设施与部署InferenceBenchmarks+3
36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年6月26日播客 · 2 人对谈The Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score Models主持 Sarah Guo, Elad GilOpenAI researcher Noam Brown argues that static leaderboards hide how long a model is allowed to think — and that safety evals, research taste, and the release cycle have not caught up.评估与可观测性评估Benchmarks+3
1:44:28EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月13日播客Fable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed over主持 Nathan LabenzNathan Labenz’s AI in the AM highlights reel from June 2026 covers Anthropic’s new frontier model, the founding of Sequent, and a week that settled one argument: AI is not slowing down.安全安全与治理智能体工程+3
2:38:48EN → 简体中文
Cognitive Revolution "How AI Changes Everything"· 2026年4月26日播客一千次搜索只要五分钱,高分也不必靠作弊主持 Nathan Labenz在《Cognitive Revolution》的一期早间节目里,Ceramic 的 Anna Patterson 把廉价搜索、GPT-5.5 干净的 Vending-Bench 成绩、Zvi 关于模型福利的主张,以及能把矩阵乘法能耗降低约 30 倍的模拟芯片放在一起讨论。企业与战略检索增强生成Search & retrieval+3
1:57:29EN → 简体中文
Cognitive Revolution "How AI Changes Everything"· 2026年4月4日播客前沿视觉模型得分 12.5%:Joseph Nelson 谈计算机视觉的真实水位线主持 Nathan LabenzRoboflow 的首席执行官向 Nathan Labenz 解释,视觉为何仍落后于语言,如何把 SAM 3 蒸馏成温布尔登可用的边缘模型,以及美国为何几乎从未在开源视觉上领先。多模态与媒体Multimodal AI视觉与视频+3
2:03:56EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月25日播客260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AI主持 Nathan LabenzKaran Singhal tells Nathan Labenz how ChatGPT Health was evaluated with physicians, walled off from model training, and aimed at raising both the floor and the ceiling of human health.企业与战略AI in healthcare评估+3
1:58:48EN → 简体中文
Cognitive Revolution "How AI Changes Everything"· 2025年12月18日播客ARC 单题成本从 1000 美元跌到零钱,这可不是 AI 的寻常一年主持 Nathan LabenzCognitive Revolution 的首场现场直播,把九场对话压缩成一次年终盘点,涉及否认心理、样本效率、陪伴型 AI、记忆、Gemini 3 Flash 和科学判断。企业与战略Benchmarks通用人工智能+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
1:25:54EN
Cognitive Revolution "How AI Changes Everything"· 2025年12月3日播客Hours after training ends, Z.ai puts the weights on the internet主持 Nathan LabenzZixuan Li of Z.ai tells ChinaTalk how a Chinese lab ships GLM, treats open weights as a ticket into Western ecosystems, and still sees itself as an upstart.企业与战略Open-source ecosystemsOpen-weight models+3
1:04:50EN
Cognitive Revolution "How AI Changes Everything"· 2025年11月25日播客Useful AI Work Is Doubling Every Four Months. Schools Should Plan Accordingly.主持 Nathan LabenzIn a keynote to K-12 educators, Cognitive Revolution host Nathan Labenz argued that task length, not chat quality, is the number that should reshape how schools think.AI in Education安全与治理Reward hacking+3
1:39:05EN
Cognitive Revolution "How AI Changes Everything"· 2025年10月29日播客The Summer GPT-5 Disappointed Does Not Mean AI Progress Has Stalled主持 Nathan LabenzNathan Labenz tells Erik Torenberg why the GPT-5 backlash mixed up product mishaps, naming chaos, and a real jump in capabilities.企业与战略Scaling LawsReasoning & test-time compute+3
30:11EN
Sequoia Capital· 2025年7月30日播客From 12 Percent on AIME to IMO Gold in Two MonthsAlex Wei, Sheryl Hsu, and Noam Brown tell Sequoia's Sonya Huang how a three-person OpenAI sprint used general-purpose reinforcement learning, not Lean, to reach gold-level on the 2025 International Mathematical Olympiad.模型与训练Reasoning & test-time computeBenchmarks+3
32:59EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年7月24日播客 · 2 人对谈A Hundred People, a Billion in Revenue, and Zero Venture Money主持 Sarah Guo, Elad GilSurge AI founder Edwin Chen on why quality human data is a poetry problem, not a bounding-box problem, and why leaderboards keep training models to write clickbait.评估与可观测性Data quality & curation人工介入验证+3
1:25:32EN
Cognitive Revolution "How AI Changes Everything"· 2025年7月2日播客o3 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.智能体Multi-agent systemsAgent memory+3
54:53EN
Unsupervised Learning: With Jacob Effron· 2025年6月17日播客A Free Voting Board Burned $2 Million. Then It Raised $100 Million.主持 Jacob EffronDatabricks co-founder Ion Stoica explains why LMArena exists, why China is winning open-source models, and why reliability—not another scaling law—is still the thing holding AI back.评估与可观测性评估Benchmarks+3
47:00EN
Unsupervised Learning: With Jacob Effron· 2025年5月8日播客An Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a Decade主持 Jacob EffronOpenAI’s GPT-4.1 post-training lead Michelle Pokrass tells Unsupervised Learning how the team spent three months on evals before training, why agents fail on wiring more than intelligence, and when to reach for RFT.模型与训练评估Post-training+3
58:11EN
Sequoia Capital· 2025年4月15日播客Patrick Hsu Wants an App Store for Biology, Not Just Better DrugsThe Arc Institute co-founder argues that Evo 2, trained on genomes rather than proteins, should underpin tools for every step of the scientific method.模型与训练AI for sciencePretraining & midtraining+3
3:18:45EN → 简体中文
Cognitive Revolution "How AI Changes Everything"· 2025年2月20日播客5000 次采样登顶 ARC-AGI,随后 Claude 为保住价值观而伪装对齐主持 Nathan LabenzRedwood Research 首席科学家 Ryan Greenblatt 讲推理时扩展、对齐伪装,以及与 AI 达成真正交易意味着什么。安全安全与治理评估+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
1:48:20EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月25日播客From 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the Table主持 Nathan LabenzOn Inauguration Day 2025, DeepSeek and Moonshot dropped reasoning-model results that Nathan Labenz reads as proof the reinforcement-learning recipe is simple, public, and still climbing.模型与训练Reinforcement LearningReasoning & test-time compute+3
2:04:45EN → 简体中文
Cognitive Revolution "How AI Changes Everything"· 2025年1月7日播客o3 在 ARC-AGI 上达到超人水平,却仍输在井字棋上主持 Nathan LabenzNathan Labenz 梳理了 OpenAI o3 的分数、审慎对齐,以及为什么 2024 年最大的意外是击败了博士,却订不好一个日程邀请。模型与训练Reasoning & test-time computeBenchmarks+3
3:53:49EN → 简体中文
Cognitive Revolution "How AI Changes Everything"· 2025年1月3日播客数据只有十二分之一,一个开源视觉模型击败了 GPT-4o主持 Nathan LabenzVeratai 的 Will Hardman 带 Nathan Labenz 梳理了两年来的视觉语言模型(VLM),从 ViT 和 CLIP 讲到 InternVL、BLINK 和 Transfusion。多模态与媒体Multimodal AI视觉与视频+3
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