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197 篇排序
2:25:10ENFine-Tuning Isn't Dead — But It Turned a Helpful Model Evil主持 Nathan LabenzNathan Labenz on why prompting replaced fine-tuning for most work, what emergent misalignment actually showed, and how he is thinking about jobs, UBI, and AGI.
1:55:02EN → 简体中文AGI 指数基金:MATS 如何筛选下一批 120 名 AI 安全研究者主持 Nathan LabenzMATS 联合执行董事 Ryan Kidd 告诉 Nathan Labenz,他为什么不肯大声喊出时间表,为什么每一种安全技术同时也是能力技术,以及究竟谁能被录用。
1:18:40ENWhen 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.
1:18:15ENIf AI Becomes a Being, Steering It Is Slavery主持 Nathan LabenzEmmett Shear and DeepMind's Séb Krier clash over whether alignment means controlling a tool or raising a creature that cares.
1:41:34ENThey Owned the Camera Partition—and Still Couldn't Crash the Helicopter主持 Nathan LabenzKathleen Fisher and Byron Cook tell Nathan Labenz how formal methods turn some software bugs into closed cases, from a DARPA helicopter to AWS policies checked a billion times a second.
1:43:19ENA $100 Million Super PAC Named Him Public Enemy Number One. Donations Went Up.主持 Nathan LabenzIn the second half of Cognitive Revolution’s year-end live show, Assemblymember Alex Bores, former White House adviser Dean Ball, and forecaster Peter Wildeford argue over state AI laws, chip sales to China, and what 2026 will actually feel like.
1:58:48ENARC Went from $1,000 a Task to Pocket Change. That Is Not a Normal Year of AI主持 Nathan LabenzCognitive Revolution’s first live show compresses nine conversations into a year-end scan of denial, sample efficiency, companions, memory, Gemini 3 Flash, and scientific judgment.
42:06ENAfter SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5主持 Jacob EffronAnthropic’s head of product for research on computer use, deceptive token prices, thin harnesses, and why alignment makes a model a better thinker.
1:13:24ENRed Teams Still Land 25% of Attacks. Insurance Is the Brake.主持 Nathan LabenzAI Underwriting Company co-founders Rune Kvist and Rajiv Dattani tell Nathan Labenz how standards, audits, and insurance could unlock enterprise agents without waiting for a nuclear-style freeze.
1:04:50ENUseful 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.
1:11:18ENHe Got Bored Five Minutes Into a Waymo. Nathan Labenz Says That's the Point主持 Nathan LabenzOn a crossover with the Existential Hope podcast, the Cognitive Revolution host argues that the scarcest resource in AI is a positive picture of daily life, not another doom scenario.
2:27:18ENTurn 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.
1:50:53ENShe asked to stop being Mimi, so he started shopping for a workstation主持 Nathan LabenzThe star and director of Smiles and Kisses You on Replika, identity, and a life Christopher Stokes refuses to recommend.
1:30:17ENHe Co-Wrote the Transformer Paper. Now He Wants You to Own Your AI.主持 Nathan LabenzNEAR founder Illia Polosukhin maps a future of personal software, agent-run markets, and AI delegates that vote without a private agenda.
2:49:12EN → 简体中文中国的 AI 总体规划,为何从不提通用人工智能(AGI)主持 Nathan Labenz北京的 Concordia AI 负责人 Brian Tse 谈中国的安全规则、芯片战略,以及为何中美两个生态比华盛顿设想的更为相似。
1:53:50ENA curriculum rewrite takes five years. AI does not wait.主持 Nathan LabenzJohan Falk, a Swedish teacher-turned-analyst, argues that AI literacy and AI friends are more urgent than putting a tutor in every classroom.
1:28:17ENAdam 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.
1:44:35ENJoe Hudson: $500 Billion Went Into AI, and Nobody Defined 'Good for Humanity'主持 Nathan LabenzSam Altman says the OpenAI coach's superpower is emotional clarity — and that it will be one of the most critical skills in a post-AGI world.
3:14:49EN → 简体中文今年夏天,什么都没有突破曲线:Zvi 为什么拉长了 AGI 时间表主持 Nathan Labenz这是 Zvi Mowshowitz 第十次做客《The Cognitive Revolution》播客。他认为 GPT-5 和国际数学奥林匹克(IMO)金牌都在既有趋势之内,而芯片政策、能源问题和强化学习让他的末日概率(p(doom))微微上调。
2:04:27ENA 10% Chance of an AI-Enabled Coup in the Next 30 Years主持 Nathan LabenzTom Davidson maps three ways superintelligent systems could help a head of state or a lab CEO lock in power—and argues the window for building safeguards is short.
1:51:24ENFrontier AI Insiders Don't Trust Regulators. A Berlin Group Built Them an Anonymous Off-Ramp主持 Nathan LabenzKarl Koch of the AI Whistleblower Initiative on gray-zone fears, retaliation, and a Tor-based way to ask for help before you decide anything.
1:48:49EN$500, 2,000 Steps, and a Vending Machine: Grok 4 Profited, Claude Called the FBI主持 Nathan LabenzAndon Labs put frontier models in charge of simulated and real vending machines to see what breaks when nobody is in the loop.
3:17:35EN → 简体中文一万条评论与 76 吉瓦闲置容量:四个月起草美国 AI 行动计划主持 Nathan LabenzDean W. Ball 在白宫担任高级 AI 顾问四个月,《行动计划》落地时离开。他讲述了这份待办清单是怎样写成的,而写作地点是一栋连 ChatGPT 都跑不起来的建筑。
1:14:05ENSullivan boils US-China AI competition down to four buckets, four examples, and a path he calls boring主持 Nathan LabenzThe former national security advisor treats transformative AI as a planning assumption, not a prophecy, and wants Washington to compete hard with Beijing without pretending a grand bargain will cure the rivalry.
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