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162개정렬
1:59:30ENHe Walked Away From Millions in OpenAI Equity — Then Wrote Four Rules for AGI Labs진행자 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.진행자 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 Mind진행자 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 exam진행자 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 AI진행자 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 Instead진행자 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 Security진행자 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 stranger진행자 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.진행자 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 Imagine진행자 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 One진행자 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 1047진행자 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 Knobs진행자 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 hyperscaling진행자 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 bridge진행자 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 Years진행자 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 default진행자 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 wall진행자 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 Percent게스트 Roman Yampolskiy · 진행자 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 No진행자 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 World진행자 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 Bill진행자 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 Hook진행자 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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