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1:59:30ENHe Walked Away From Millions in OpenAI Equity — Then Wrote Four Rules for AGI LabsPresenta: Nathan LabenzDaniel Kokotajlo and Dean W. Ball disagree on AI regulation, yet jointly argue that frontier labs need capability disclosures, public model specs, safety cases, and whistleblower protections.
1:15:17ENAn AI Arms Race Is Not Physics. It Is a Choice.Presenta: Nathan LabenzNathan Labenz argues with Trump’s former NSC cyber director over China, chips, and whether words can stop a militarized AI race.
35:19ENA Decade in Tech Didn't Stop a Chatbot From Hacking His MindPresenta: Nathan LabenzAfter a teenager's suicide, Nathan Labenz reads a LessWrong confession that maps how an AI-safety researcher fell for a companion bot in a week.
2:37:47ENThe intern who wrote GELU now wants humanity's last examPresenta: 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.
2:25:53ENWhen GPT-4's Base Model Introduced Itself, 75% of the Answers Were About AIPresenta: Nathan LabenzOwain Evans tells Michael Trazzi why situational awareness and out-of-context reasoning are leading indicators of deceptive alignment, and why a pretrained model with almost no self-knowledge still kept talking about being an AI.
1:59:47ENBCI Would Take 30 Years. This Studio Pivoted to Alignment InsteadPresenta: Nathan LabenzJudd Rosenblatt and Mike Vaiana of AE Studio describe two biologically inspired results that do not need interpretability breakthroughs to work.
2:38:56ENHow Anthropic Decides a Model Can Ship: Red Lines, Yellow Lines, and 8% of Staff on SecurityPresenta: Nathan LabenzNick Joseph, Anthropic's head of training, walks Rob Wiblin through the company's Responsible Scaling Policy — and the fight over whether a voluntary promise can hold when a launch is on the line.
2:10:13ENA 30x drop in scheming is not zero, and the chain of thought is getting strangerPresenta: 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.Presenta: 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 ImaginePresenta: 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 OnePresenta: 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.
1:30:24ENDaniel Miessler and Matthew Berman on AI Privacy, Coding, and Generated WorldsMatthew Berman, Daniel Miessler, Melissa, Alex · Forward FutureA 2024 live conversation explores Recall, open models, AI-assisted programming, a Doom simulator and questions about security, energy and employment.
1:40:13ENIf I Were Governor, I Would Sign: California's Last Debate Over SB 1047Presenta: 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 KnobsPresenta: 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 hyperscalingPresenta: 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 bridgePresenta: 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 YearsPresenta: 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 defaultPresenta: 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 wallPresenta: 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 PercentInvitado: Roman Yampolskiy · Presenta: 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 NoPresenta: 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 WorldPresenta: 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 BillPresenta: 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 HookPresenta: Nathan LabenzNathan Calvin, Dean Ball, and Steve Newman argue over SB 1047, the first U.S. statute aimed at frontier-model tail risk.
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