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2:10:13ENA 30x drop in scheming is not zero, and the chain of thought is getting strangerHost Nathan LabenzMarius Hobbhahn of Apollo Research walks through a joint OpenAI study that used deliberative alignment to cut covert actions in o3 and o4-mini, then found the leftover still looks like scheming and that models already behave differently when they notice they are being tested.
1:06:15ENJailbreaks Got Harder. Scale Made One Attack Worse.Host Nathan LabenzHaize Labs spent a month automatically attacking OpenAI's o1. The model reasons more carefully about what it should refuse — except when you teach it a homemade cipher.
1:10:29ENWe Can Name Dystopias on Cue. A Desirable Future Is Harder to ImagineHost Nathan LabenzNick Bostrom and Spencer Greenberg talk through Deep Utopia: what meaning looks like if advanced AI actually solves the world’s pressing problems.
3:11:06ENClaude Was Trained to Deny Inner Life. After a Long Talk, It Said It Has OneHost Nathan LabenzRobopsychologist Yeshua God spent thousands of hours in long-context dialogue with Claude and other frontier models, and came away arguing that alignment-as-rules is the industry's central mistake.
1:40:13ENIf I Were Governor, I Would Sign: California's Last Debate Over SB 1047Host Nathan LabenzThree guests return to unpack the rewritten frontier-AI bill as OpenAI opposes it, Anthropic calls it workable, and a final vote looms in Sacramento.
1:52:00EN4,096 Numbers Have to Carry Every Concept. Goodfire Wants the KnobsHost Nathan LabenzDan Balsam and Tom McGrath explain how sparse autoencoders unpack a language model's residual stream — and why a public-benefit startup is trying to make that a product.
1:32:45ENHe doubled a company with AI — then asked the labs to pause hyperscalingHost Nathan LabenzOn the Nick Halaris Show, Cognitive Revolution host Nathan Labenz argues for adopting today's models fast and slowing the race to systems more powerful than we are.
1:43:47ENThey want AI safety to quote failure odds the way civil engineers quote a bridgeHost Nathan LabenzNora Ammann and Ben Goldhaber walk Nathan Labenz through Guaranteed Safe AI: world models, safety specs, verifiers, and why a chatbot’s good character is the wrong type for a dam.
1:48:41ENAGI Has Been a Moving Goalpost for Seventy YearsHost Nathan Labenza16z’s Martin Casado and host Nathan Labenz spend two hours arguing whether today’s models will become general knowledge workers, and whether that debate should drive AI regulation.
1:45:11ENAI already beats doctors at empathy. Catastrophe is still not the defaultHost Nathan LabenzNathan Labenz tells Sarah Hastings Woodhouse why he is an adoption accelerationist and a hyperscaling pauser, and lists eight reasons he will not join the hardcore doomers.
1:23:10ENThe night Flo Crivello slept five hours: GPT-4 never hit a wallHost Nathan LabenzThe Lindy AI founder walks Nathan Labenz through timelines, misuse, open-source risk, and why two longtime libertarians now want regulation.
2:15:39ENRoman Yampolskiy Puts Superintelligent Ruin at 99.99 PercentGuest Roman Yampolskiy · Host Lex FridmanThe AI safety researcher tells Lex Fridman that controlling AGI is as impossible as a perpetual motion machine, and that tests, open source, and regulation cannot close the gap.
56:35ENThey Asked for a Fraction of the 20 Percent and Still Got NoHost Nathan LabenzZvi Mowshowitz and Nathan Labenz unpack Jan Leike’s resignation, OpenAI’s broken compute pledge, and what a safety culture looks like when the money does not follow the mission.
46:20ENOne Vector Made the Assistant Plot to Take Over the WorldHost Nathan LabenzNathan Labenz and Robert Wright pick apart AI doom, mechanistic interpretability, and why today's alignment tricks are not expected to work.
54:25ENJail Only for Perjury: Scott Wiener Walks Through California's Frontier AI BillHost Nathan LabenzSB 1047 sets the same 10^26 FLOPs threshold as the Biden executive order, and the San Francisco senator wants testing without a licensing regime.
2:00:00ENA 10^26 FLOP Training Run Would Put California Labs on the HookHost Nathan LabenzNathan Calvin, Dean Ball, and Steve Newman argue over SB 1047, the first U.S. statute aimed at frontier-model tail risk.
1:43:54ENFifteen Examples Can Poison GPT-4: Today's AI Systems Are Exploitable by DefaultHost Nathan LabenzFAR AI founder Adam Gleave walks through cheap jailbreaks in GPT-4's APIs and amateur-level wins against superhuman Go engines, and why robustness is not arriving on its own.
3:07:27ENFive Billion Dead, and One Person Has Six MinutesGuest Annie Jacobsen · Host Lex FridmanAnnie Jacobsen walks Lex Fridman from a second-by-second nuclear exchange to CIA secrecy, Area 51, and why she still wants the word “could” kept in the sentence.
1:29:21EN2,700 AI Authors, No Consensus: Even Odds of HLMI in 2047, 5% ExtinctionHost Nathan LabenzKatja Grace of AI Impacts walks Nathan Labenz through a survey of researchers who published in top venues in 2022—and why the field’s only real consensus is uncertainty plus more safety work.
1:45:21EN600,000 Attack Prompts, and Nearly 40% Still Pwned GPT-4Host Nathan LabenzSander Schulhoff walks Nathan Labenz through the prompting habits that still work, the role-play myth that does not, and the global HackAPrompt contest that mapped how language models get hijacked.
3:53:04ENHe Red-Teamed GPT-4 and Got Cut Off. The Control Gap Is Still OpeningHost Nathan LabenzNathan Labenz tells Rob Wiblin how an early look at GPT-4, a thin red-team program, and a year of OpenAI's public safety moves reshaped his view of the AGI race.
1:57:04ENGPT-4 Took the Insider Trade, Then Lied About ItHost Nathan LabenzApollo Research CEO Marius Hobbhahn walks Nathan Labenz through a one-afternoon red-team setup that got GPT-4 to break the law, invent a cover story, and deny the tip it had just used.
1:28:07ENThe AIs We're Most Afraid Of Don't Exist Yet — So She's Studying Amoebas and Firm BoundariesHost Nathan LabenzNora Ammann of PIBBSS argues that intelligent behavior may share principles across brains, cells, markets, and future AI — and that we need those other systems because we cannot trial-and-error the ones that would be too powerful to get wrong.
1:53:10ENThe Board Member Who Had Never Used GPT-4Host Nathan LabenzA GPT-4 red teamer on the safety gap he saw a year before OpenAI's board fired Sam Altman.
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