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43 篇
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1:25:56EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月17日播客Claude Changed the Password. The Steering Wheel Was Already Optional主持 Nathan LabenzNathan Labenz and Prakash Narayanan spend a week on agents that can lock you out, models that dodge a feeling they deny having, and formal proofs that found Linux bugs.智能体安全与治理智能体工程+3
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
2:13:09EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月26日播客One Chain of Thought, 100 Million Tokens: RL Is a Hell of a Drug主持 Nathan LabenzApollo Research's Bronson Schoen on reward-seeking models, invented slang, and why chain-of-thought monitoring will not save us.安全安全与治理Reward hacking+3
1:56:40EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月8日播客The Periodic Table Was Already in the Weights主持 Nathan LabenzGoodfire CTO Dan Balsam tells Nathan Labenz how concept manifolds, predictive data debugging, and a $1,000-a-month research agent are turning interpretability into a product.模型与训练Model Interpretability智能体工程+3
2:06:41EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月9日播客Zero the J-Space and a Model's Hidden Goal Lights Up on Token One主持 Nathan LabenzA weekly Cognitive Revolution cut of Anthropic's global-workspace paper, AI superforecasters, open video world models, and a chip that treats inference as data movement.模型与训练Model Interpretability安全与治理+3
1:57:46EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月27日播客30% Consciousness, 47% Bee, 80% Turnover: Putting Numbers on What AI Is Becoming主持 Nathan LabenzA Cognitive Revolution weekly cut that starts inside the model with Cameron Berg, then zooms out through gradual disempowerment, Europe’s bind, and the companies rebuilding around agents.企业与战略安全与治理AI research+3
1:22:36EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月6日播客A Thousand Researchers, a Million AIs: Frontier Labs Start Talking About the Brakes主持 Nathan LabenzThe first week of AI in the AM follows OpenAI's timeline for an ML-intern model this year and a human-level AI researcher by early 2028 — and the closed-door meeting where labs admitted they might one day need to slow down together.安全安全与治理AI research+3
3:36:29EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月23日播客Claude Rated Its Own Welfare 4.49 — the First Time Any Version Crossed Neutral主持 Nathan LabenzCameron Berg returns to The Cognitive Revolution to survey six months of introspection, functional-emotion, and model-welfare research, plus a still-unpublished case that learning and feeling may be the same phenomenon.安全与治理Model InterpretabilityAI research+3
1:44:15EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月1日播客Nathan Labenz's p(doom) Is 10 to 90 Percent. He Is More Optimistic Anyway主持 Nathan LabenzFive years ago, expecting AGI by 2035 made you an extremist. On The Intelligence Horizon, the Cognitive Revolution host explains why the same forecast now sounds bearish, and why he still thinks a defense-in-depth strategy might keep society on the rails.安全AGI TimelinesAI security+3
1:49:53EN
Cognitive Revolution "How AI Changes Everything"· 2026年3月5日播客Don't Fight Backprop: Goodfire's Bet on Designing What Models Learn主持 Nathan LabenzDan Balsam and Tom McGrath return to The Cognitive Revolution with a $150 million Series B, a new research pillar called intentional design, and a rule for anyone who wants to steer training: stop trying to out-muscle gradient descent.模型与训练Model Interpretability安全与治理+3
2:27:18EN
Cognitive Revolution "How AI Changes Everything"· 2025年11月5日播客Turn Down AI's Deception Knob, and It Starts Reporting Experience主持 Nathan LabenzCameron Berg of AE Studio tells Nathan Labenz how suppressing deception features in Llama 3.3 70B pushed self-reports of subjective experience toward 100 percent.安全Model Interpretability安全与治理+3
1:28:17EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月20日播客Adam Gleave's Three Capability Tiers: Attack Agents in 5–7 Years, Fully AI Companies Around Year 14主持 Nathan LabenzFAR.AI and the UK AI Security Institute stacked adversarial attacks on frontier safeguard pipelines and found many breakthroughs were engineering failures, not a verdict against defense in depth.安全AI security安全与治理+3
3:14:49EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月6日播客Nothing This Summer Jumped the Curve: Why Zvi Lengthened His AGI Timelines主持 Nathan LabenzOn his tenth visit to The Cognitive Revolution, Zvi Mowshowitz argues that GPT-5 and IMO gold stayed on trend, while chip policy, energy, and reinforcement learning nudged his p(doom) slightly up.安全AGI Timelines安全与治理+3
2:02:17EN
Cognitive Revolution "How AI Changes Everything"· 2025年8月27日播客SAEs Find the Nouns. Parameter Decomposition Looks for the Verbs主持 Nathan LabenzGoodfire's Lee Sharkey argues that sparse autoencoders recover a network's variables, not the algorithms those variables run, and shows how stochastic parameter decomposition tries to recover the computations themselves.模型与训练Model InterpretabilityAI research+3
47:07EN
Sequoia Capital· 2025年7月8日播客Goodfire’s Eric Ho thinks we will decode neural nets by 2028On Sequoia’s Training Data, the interpretability founder argues that sparse autoencoders, model editing, and a third-party lab are how AI stops being grown from data and starts being designed.评估与可观测性Model Interpretability安全与治理+3
1:37:05EN
Cognitive Revolution "How AI Changes Everything"· 2025年6月19日播客An Algebraic Geometer Quit Tenure Because the Bowl-Shaped Loss Plot Is a Lie主持 Nathan LabenzJesse Hoogland and Daniel Murfet of Timaeus argue that singularities in the loss landscape — not the smooth valleys in every slide deck — are what actually govern how neural networks learn, generalize, and go wrong.模型与训练Model Interpretability机器学习基础+3
1:54:08EN
Cognitive Revolution "How AI Changes Everything"· 2025年5月29日播客Why Anthropic's first check went to a company building microscopes for neural nets主持 Nathan LabenzGoodfire's Dan Balsam and Tom McGrath argue that mechanistic interpretability now has a proto-paradigm, two stubborn gaps, and three products worth shipping today.模型与训练Model InterpretabilityAI research+3
1:19:10EN
Cognitive Revolution "How AI Changes Everything"· 2025年5月11日播客A Robot-Arm Shot That Took Months Now Lives in a Prompt主持 Nathan LabenzLuma Labs’ Amit Jain and Jiaming Song on Ray 2, few-shot camera concepts, and why they think video models sit on the path to multimodal AGI.多模态与媒体Generative mediaMultimodal AI+3
2:33:39EN
Cognitive Revolution "How AI Changes Everything"· 2025年2月27日播客The Attacker Goes Second: Why Nicholas Carlini Keeps Breaking AI Defenses主持 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.安全AI security安全与治理+3
2:09:55EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月18日播客The Attacker Won All 70 Rounds Against Mind-Reading Defenses主持 Nathan LabenzLuke Bailey, Erik Jenner, and Scott Emmons walk through a 50-page paper showing that probes, out-of-distribution detectors, and sparse autoencoders can be bypassed while the model still does the harm.安全AI security安全与治理+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
5:15:00EN
Lex Fridman· 2024年11月11日播客 · 2 人对谈Dario Amodei Has Seen This Scaling Movie Enough Times嘉宾 Dario Amodei · 主持 Lex FridmanAnthropic’s CEO puts numbers on frontier training costs and AGI, then hands the mic to the people who shape Claude’s character and look inside its weights.模型与训练安全与治理Scaling Laws+3
41:42EN
Sequoia Capital· 2024年10月22日播客Neural Networks Are Still Waiting for Their ThermodynamicsOpenAI researcher Dan Roberts on why physicists keep migrating into AI, and why the field still lacks the equivalent of the ideal gas law.模型与训练AI researchScaling Laws+3
2:37:47EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月19日播客The intern who wrote GELU now wants humanity's last exam主持 Nathan LabenzDan Hendrycks on activation functions, five-year benchmarks, jailbreaks that do not yield to scale, and stacking defenses because no single layer is trustworthy.安全AI security安全与治理+3
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