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2:00:51EN
Cognitive Revolution "How AI Changes Everything"· 2026년 10월 10일팟캐스트Resample Every Token and You Can Watch the Model Decide진행자 Nathan LabenzGoodfire's Eric Bigelow on forking paths, in-context learning, and why chain-of-thought monitoring is getting harder to trust.에이전트Prompting & in-context learningReasoning & test-time compute+3
2:06:11EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 14일팟캐스트Lindy Runs on DeepSeek. Its CEO Still Wants Chinese Models Banned진행자 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.에이전트Agent memory컨텍스트 엔지니어링+3
2:16:29EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 2일팟캐스트From Two Papers a Month to Sixty: What Two Weeks in China Revealed About AI Safety진행자 Nathan LabenzNathan Labenz argues that the familiar 'China will never slow down' line does not survive contact with the actual Chinese AI safety ecosystem.보안과 안전안전과 거버넌스AI security+3
1:47:38EN
Cognitive Revolution "How AI Changes Everything"· 2026년 7월 4일팟캐스트19 Neurons Can Drive a Car. Liquid AI Wants Foundation Models on Every Chip진행자 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.모델과 학습Local inferenceScaling Laws+3
54:26EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 22일팟캐스트Ten Billion Active Parameters, and the Unsexy Work of Making Them Agent-Ready진행자 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.코딩 에이전트Reinforcement Learning에이전트 엔지니어링+3
1:54:30EN
Cognitive Revolution "How AI Changes Everything"· 2026년 1월 9일팟캐스트From One in Ten Cancer Cells to One in a Million진행자 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.기업과 전략AI Strategy코딩 에이전트+3
1:18:40EN
Cognitive Revolution "How AI Changes Everything"· 2026년 1월 1일팟캐스트When AI Becomes the Oil Well: Luke Drago on the Intelligence Curse진행자 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.기업과 전략AI Strategy안전과 거버넌스+3
1:32:38EN
Cognitive Revolution "How AI Changes Everything"· 2025년 12월 6일팟캐스트Polish Is 1% of Frontier Training Data, So Poland Built Its Own Model진행자 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.기업과 전략Open-weight modelsData quality & curation+3
1:25:54EN
Cognitive Revolution "How AI Changes Everything"· 2025년 12월 3일팟캐스트Hours after training ends, Z.ai puts the weights on the internet진행자 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.기업과 전략Open-source ecosystemsOpen-weight models+3
2:14:55EN
Cognitive Revolution "How AI Changes Everything"· 2025년 7월 26일팟캐스트From Character AI to a 1% Warning Shot: Gabriel Weil's Case for Liability as AI Governance진행자 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.보안과 안전안전과 거버넌스AI Regulation+3
1:30:57EN
Cognitive Revolution "How AI Changes Everything"· 2025년 3월 12일팟캐스트Ant's $320 Billion IPO Was Stopped at the Eleventh Hour: Angela Zhang on China's Tech Tightrope진행자 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.기업과 전략AI Strategy안전과 거버넌스+3
1:08:51EN
Cognitive Revolution "How AI Changes Everything"· 2025년 3월 1일팟캐스트Chip Controls Are Meant to Buy Ten Years, Not Win the AI Race진행자 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.보안과 안전GeopoliticsAI Strategy+2
2:33:39EN
Cognitive Revolution "How AI Changes Everything"· 2025년 2월 27일팟캐스트The Attacker Goes Second: Why Nicholas Carlini Keeps Breaking AI Defenses진행자 Nathan LabenzA Google DeepMind security researcher on simple loss functions, 70% robust accuracy, and why the fix has to live in the system, not the model.보안과 안전AI security안전과 거버넌스+3
1:48:20EN
Cognitive Revolution "How AI Changes Everything"· 2025년 1월 25일팟캐스트From 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the Table진행자 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.모델과 학습Reinforcement LearningReasoning & test-time compute+3
3:53:49EN
Cognitive Revolution "How AI Changes Everything"· 2025년 1월 3일팟캐스트With One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4o진행자 Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.멀티모달과 미디어Multimodal AI비전과 영상+3
1:57:00EN
Cognitive Revolution "How AI Changes Everything"· 2024년 12월 28일팟캐스트Less Than 1%: Why OpenAI's roon Thinks the Good Guys Get AGI First진행자 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.보안과 안전안전과 거버넌스AGI Timelines+3
1:49:41EN
Cognitive Revolution "How AI Changes Everything"· 2024년 11월 21일팟캐스트A Team of Fifteen Matched Meta’s Post-Training on Meta’s Own Base진행자 Nathan LabenzNathan Lambert walks through Tulu 3: the three-stage recipe, the 1 percent versus 14 percent lesson, and why open post-training now lives or dies on data and evals.모델과 학습Post-trainingData quality & curation+3
2:24:18EN
Cognitive Revolution "How AI Changes Everything"· 2024년 10월 30일팟캐스트MMLU Stays at Chance Until Late Training. Loss Is Only an Alarm.진행자 Nathan LabenzZyphra’s training lead walks through Zamba 2’s hybrid architecture, the evals that actually matter, and the trade secrets small labs still have to rediscover.모델과 학습Local inference평가(Evals)+3
1:54:01EN
Cognitive Revolution "How AI Changes Everything"· 2024년 6월 26일팟캐스트A Tiny Network Grew a Salt Crystal the Training Data Never Showed진행자 Nathan LabenzTim Duignan trained tens of thousands of parameters on salt water. The model invented a crystal — and a continuum solvent theory he had spent a PhD failing to write by hand.모델과 학습AI for science머신러닝 기초+3
1:42:17EN
Cognitive Revolution "How AI Changes Everything"· 2024년 4월 20일팟캐스트The Cheapest Inference Provider Is the Most Dangerous진행자 Nathan LabenzFireworks AI cofounders Lin Qiao and Dmytro Ivchenko explain why subsidized GPU bills vanish, how LoRA serving can cut cost a hundredfold, and why OpenAI is the rival that actually matters.인프라와 배포InferenceAI cost & performance+3
2:16:27EN
Cognitive Revolution "How AI Changes Everything"· 2023년 12월 12일팟캐스트Superhuman Go Has a Blind Spot. Balaji Bets on a War of the Gods진행자 Nathan LabenzBalaji Srinivasan tells Nathan Labenz why adversarial inputs, missing actuators, and cryptography make a single runaway AI god less likely than a contest among many that still need priests.기업과 전략안전과 거버넌스Open-weight models+3
1:14:36EN
Cognitive Revolution "How AI Changes Everything"· 2023년 10월 13일팟캐스트Zulu Bypasses GPT-4, and a Hundred Examples Undo the Guardrails진행자 Nathan LabenzNathan Labenz reads seven papers — four hopeful, three not — on whether anyone can actually keep a language model under control.보안과 안전AI security안전과 거버넌스+3
52:48EN
Cognitive Revolution "How AI Changes Everything"· 2023년 8월 25일팟캐스트OpenAI Cut Fine-Tuning 90 Percent, and Founders Crossed Llama 2 Off the List진행자 Nathan LabenzNathan Labenz and Erik Torenberg walk through GPT-3.5 Turbo fine-tuning, why self-hosting still loses on total cost, and what is actually working in code, school, and medicine.모델과 학습파인튜닝AI cost & performance+3
59:28EN
Cognitive Revolution "How AI Changes Everything"· 2023년 6월 16일팟캐스트From $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced Product진행자 Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.모델과 학습파인튜닝Pretraining & midtraining+3
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