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38 篇
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2:00:51EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月10日播客Resample Every Token and You Can Watch the Model Decide主持 Nathan LabenzGoodfire's Eric Bigelow on forking paths, in-context learning, and why chain-of-thought monitoring is getting harder to trust.智能体Prompting & in-context learningReasoning & test-time compute+3
56:31EN
Unsupervised Learning: With Jacob Effron· 2026年10月6日播客Post-Training Wins Inference: Why Owning the Weights Beats Betting on One Lab主持 Jacob EffronApplied Compute CEO Yash Patil argues that control, private evals, and post-training on the biggest workloads matter more than fearing that frontier labs will turn malicious.模型与训练Post-trainingReinforcement Learning+3
2:06:11EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月14日播客Lindy Runs on DeepSeek. Its CEO Still Wants Chinese Models Banned主持 Nathan LabenzFlo Crivello tells Nathan Labenz how Lindy Teammate lives in Slack, reaches two billion tokens of memory in two model calls, and why he would still outlaw the cheap Chinese models that currently power the product.智能体Agent memory上下文工程+3
2:16:29EN → 简体中文
Cognitive Revolution "How AI Changes Everything"· 2026年8月2日播客从每月两篇到每月六十篇:两周中国行看到的 AI 安全主持 Nathan LabenzNathan Labenz 认为,那句耳熟能详的“中国绝不会慢下来”,一接触到中国真实的 AI 安全生态就站不住了。安全安全与治理AI security+3
1:47:38EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月4日播客19 Neurons Can Drive a Car. Liquid AI Wants Foundation Models on Every Chip主持 Nathan LabenzRamin Hasani traces liquid neural networks from a worm's 300-cell brain to a 600-megabyte model that will talk from inside a Mercedes, and explains why architecture search now beats architecture avengers.模型与训练Local inferenceScaling Laws+3
1:06:36EN
Unsupervised Learning: With Jacob Effron· 2026年6月12日播客Bills Doubled Overnight. Next, the APIs Might Vanish.主持 Jacob EffronSix months after their last roundup, Ari Morcos and Rob Toews tell Jacob Efron why coding agents finally work, why near-frontier open weights may have peaked, and why a compute famine could pull the plug on public APIs.企业与战略AI StrategyOpen-source ecosystems+3
54:26EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月22日播客Ten 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.编程智能体Reinforcement Learning智能体工程+3
4:25:13EN → 简体中文
Lex Fridman· 2026年1月31日播客架构几乎没变,变的是数据、成本和开放权重主持 Lex FridmanNathan Lambert 和 Sebastian Raschka 带 Lex Fridman 回顾了这一年:训练方法和数据集的变化,远大于模型设计的变化。展望 2026 年,争论的焦点似乎是推理成本、智能体,以及真正开放的模型该归谁。模型与训练Scaling LawsOpen-weight models+3
1:54:30EN
Cognitive Revolution "How AI Changes Everything"· 2026年1月9日播客From One in Ten Cancer Cells to One in a Million主持 Nathan LabenzNathan Labenz's solo AMA updates his son's lymphoma treatment, calls Claude Opus 4.5 software AGI, and ranks the live players of early 2026.企业与战略AI Strategy编程智能体+3
1:18:40EN
Cognitive Revolution "How AI Changes Everything"· 2026年1月1日播客When AI Becomes the Oil Well: Luke Drago on the Intelligence Curse主持 Nathan LabenzThe Workshop Labs co-founder tells the FLI Podcast why a world of non-human production could recreate the resource curse — and how private data, open weights, and moonshot careers might still break it.企业与战略AI Strategy安全与治理+3
1:32:38EN
Cognitive Revolution "How AI Changes Everything"· 2025年12月6日播客Polish Is 1% of Frontier Training Data, So Poland Built Its Own Model主持 Nathan LabenzMarek Kozlowski of Poland's National Information Processing Institute explains how PLLuM uses language adaptation, organic instructions, and on-prem small models to keep a mid-size country in control of its AI.企业与战略Open-weight modelsData quality & curation+3
1:09:48EN
Unsupervised Learning: With Jacob Effron· 2025年12月5日播客China's AI Labs Went From 15 to Six. The Compute Gap Is 15-to-1.主持 Jacob EffronJordan Schneider tells Unsupervised Learning that Chinese models were a private-capital story, that Beijing still thinks in hardware, and that the West's real edge is chips it can serve — not a state master plan.企业与战略GeopoliticsAI Strategy+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
2:14:55EN
Cognitive Revolution "How AI Changes Everything"· 2025年7月26日播客From Character AI to a 1% Warning Shot: Gabriel Weil's Case for Liability as AI Governance主持 Nathan LabenzA Touro law professor tells Nathan Labenz how negligence, strict liability, and punitive damages could make frontier labs treat public risk as a hit to their own balance sheet.安全安全与治理AI Regulation+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
1:30:57EN
Cognitive Revolution "How AI Changes Everything"· 2025年3月12日播客Ant's $320 Billion IPO Was Stopped at the Eleventh Hour: Angela Zhang on China's Tech Tightrope主持 Nathan LabenzA USC law professor walks through the dynamic pyramid that governs Chinese tech, from Didi's listing to DeepSeek's price war, and why she thinks the United States is starting to look more like China.企业与战略AI Strategy安全与治理+3
45:06EN
Unsupervised Learning: With Jacob Effron· 2025年3月5日播客Mike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a Year主持 Jacob EffronMeta’s former CTO tells Redpoint why hyperscaler demand is the climate story, why Llama was an access play, and why tomorrow’s CTO still lives or dies on a priority queue.基础设施与部署AI StrategyOpen-weight models+3
1:08:51EN
Cognitive Revolution "How AI Changes Everything"· 2025年3月1日播客Chip Controls Are Meant to Buy Ten Years, Not Win the AI Race主持 Nathan LabenzEconomist Noah Smith tells Nathan Labenz that U.S. export controls are a piece of conventional deterrence against China — not a plan to kneecap DeepSeek.安全GeopoliticsAI Strategy+2
2:33:39EN → 简体中文
Cognitive Revolution "How AI Changes Everything"· 2025年2月27日播客攻击者后出手:Nicholas Carlini 为什么总能攻破 AI 防御主持 Nathan Labenz谷歌 DeepMind 安全研究员谈简单的损失函数、70% 的稳健准确率,以及为什么修复必须落在系统层面,单靠模型本身不够。安全AI security安全与治理+3
5:06:18EN
Lex Fridman· 2025年2月2日播客DeepSeek's $5 million training claim and the five-year bet on compute主持 Lex FridmanDylan Patel and Nathan Lambert walk Lex Fridman through DeepSeek-V3 and R1, export controls, TSMC, megaclusters, and who actually makes money in the AI race.企业与战略Open-weight modelsPretraining & midtraining+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
1:24:57EN
Unsupervised Learning: With Jacob Effron· 2025年1月21日播客A 50,000-GPU cap and a 1,700-chip loophole主持 Jacob EffronSemiAnalysis founder Dylan Patel walks through the AI diffusion rule, China’s compute squeeze, and how xAI stood up a 100,000-GPU cluster in a closed Memphis appliance factory.基础设施与部署AI RegulationGeopolitics+3
3:53:49EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月3日播客With One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4o主持 Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.多模态与媒体Multimodal AI视觉与视频+3
1:57:00EN
Cognitive Revolution "How AI Changes Everything"· 2024年12月28日播客Less Than 1%: Why OpenAI's roon Thinks the Good Guys Get AGI First主持 Nathan LabenzDoom Debates host Liron Shapira presses OpenAI technical staffer roon on extinction odds, alignment-by-default, and a plan that even he admits is balancing on razor wire.安全安全与治理AGI Timelines+3
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