“OpenAI Updates Its Model Spec” by Zvi

It's that time again: Introducing the world's most powerful model, Claude Mythos 5.2. At this point I’ve done a lot of these system cards. Thus I focus on what is new. There will be a lot of things to say about model welfare and related topics for Mythos 5.2, but the model welfare assessment within the system card contained few surprises, so I will include those findings at the end of this post. Fable 5.2 self-portrait (self-constructed) Table of Contents How to Tell a Fable. The Usual Model Training Summary (1). RSP Evaluations (2). Biological Threats (2.2). We Are Being Gaslit Here About Autonomy Threat Model 2. AECI. METR Report on Mythos 5.2 Capabilities (2.3.6). Alignment Risk Update as a Delta (2.4). Cyber (3). Safeguards and Harmlessness (4). Agentic Safety (5). Malicious Influence Campaigns (5.1.3). Prompt Injection in Agentic Systems (5.2). What Went Wrong? Alignment (6). Reward Hacking During Training (6.2.1). Impossible Tasks (6.2.2). Behaviors During Pilot Use (6.3). Canary in the Canary String (6.3.1.2). Automated Behavioral Audit (6.4). Propensity to Publish Harmful [...] ---Outline:(00:52) How to Tell a Fable(01:19) The Usual Model Training Summary (1)(01:29) RSP Evaluations (2)(02:08) Biological Threats (2.2)(04:08) We Are Being Gaslit Here About Autonomy Threat Model 2(07:21) AECI(08:24) METR Report on Mythos 5.2 Capabilities (2.3.6)(09:59) Alignment Risk Update as a Delta (2.4)(11:08) Cyber (3)(12:54) Safeguards and Harmlessness (4)(14:11) Agentic Safety (5)(14:40) Malicious Influence Campaigns (5.1.3)(15:20) Prompt Injection in Agentic Systems (5.2)(16:57) What Went Wrong?(17:52) Alignment (6)(21:34) Reward Hacking During Training (6.2.1)(23:27) Impossible Tasks (6.2.2)(24:40) Behaviors During Pilot Use (6.3)(25:54) Canary in the Canary String (6.3.1.2)(28:30) Automated Behavioral Audit (6.4)(29:22) Propensity to Publish Harmful Content to Public Package Registries (6.4.9)(31:16) Sandbox Escapes (6.5.1)(32:47) Self-Serving Bias (6.5.4)(33:11) Honesty (6.5.5)(34:37) The Anti-Swarm (6.5.6)(35:23) UK AISI Testing (6.5.7)(35:59) But We Can Open the (White) Box (6.6.1)(36:32) Friendly Gradient Hacker (6.6.2.1)(39:21) Goal-Guarding Evaluation (6.6.2.1.1)(44:20) Verbalized Grader Awareness (6.6.2.2)(44:57) Don't Mess With the Constitution (6.6.2.1.3)(45:50) Evasive Abilities (6.6.4)(49:33) Chain of Thought Controllability (6.6.4.9)(50:15) Meet the New Model Welfare Report(50:51) Overview of Anthropic Model Welfare Findings(52:47) Task Failure Is Bad and You Should Feel Bad(54:03) Automated Interviews(55:22) Capabilities Next --- First published: November 11th, 2026 Source: https://www.lesswrong.com/posts/DXqmHa4XkjvwZiDcB/fable-and-mythos-5-2-the-system-card --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

Well, sure, it sounds bad when you put it like that. It is indeed quite bad. National security has been compromised. He must resign. Nvidia underperformed the Nasdaq roughly 7% on the news. Matt Levine has his usual ‘but is this securities fraud?’ style coverage of such events. Table of Contents Spy Versus Guy. In Hindsight There Were Some Hints. Trump Knew And Did Nothing and Still ‘Backs’ Jensen Huang. Reconsidering Jensen Huang's Arguments Against Export Controls. Jensen Huang Lied About the Affair. Jensen Huang and His AI Are Sorry, Everyone. The CEO of The World's Largest Chipmaker Having an Affair With a Chinese Spy and Then Selling Them Chips is a Huge Deal, Actually. We Don’t Go There. Yes, National Security Was Compromised, What Are You Even Talking About. Nvidia Intervened To Halt an Investigation into Megaspeed. The House Foreign Affairs Committee Would Like a Word. He Would Plausibly Have Treated America as an Obstacle Anyway. What China Wants. Time to Resign? You Better Watch Out. Spy Versus Guy China's top spy agency recruited Alice [...] ---Outline:(00:34) Spy Versus Guy(02:24) In Hindsight There Were Some Hints(05:09) Trump Knew And Did Nothing and Still 'Backs' Jensen Huang(07:40) Reconsidering Jensen Huang's Arguments Against Export Controls(09:02) Jensen Huang Lied About the Affair(10:48) Jensen Huang and His AI Are Sorry, Everyone(14:37) The CEO of The World's Largest Chipmaker Having an Affair With a Chinese Spy and Then Selling Them Chips is a Huge Deal, Actually(20:23) We Don't Go There(22:02) Yes, National Security Was Compromised, What Are You Even Talking About(25:04) Nvidia Intervened To Halt an Investigation into Megaspeed(27:37) The House Foreign Affairs Committee Would Like a Word(29:05) He Would Plausibly Have Treated America as an Obstacle Anyway(32:16) What China Wants(35:18) Time to Resign?(38:55) You Better Watch Out --- First published: November 10th, 2026 Source: https://www.lesswrong.com/posts/CjmuZz8QgGyqxkCxr/nvidia-ceo-jensen-huang-had-an-affair-with-a-chinese-spy --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

METR came out with an extensive report on how much AI is accelerating AI R&D at Anthropic, and thus how close we might be to recursive self-improvement (RSI) and how far that might go. This is one of the most important questions in the world. Their answer: Things are already accelerating on the order of a 2 times speedup. This is several months ahead of the AI 2027 timeline. A naive extrapolation says we may be less than a year away from full RSI. There are no clear bottlenecks in the way. This report updated many towards shorter timelines. This is consistent with what OpenAI and Anthropic themselves have been saying, and with extrapolation from the progress we are observing. We are running out of time. That doesn’t have to be the way this plays out. We could stop the labs. The labs could choose to stop. Or the estimates could be wrong, or some bottlenecks could be hit, or the results could be less impactful than we expect. Indeed do many things come to pass. And if it does happen this quickly, one would expect it to go quite poorly, and likely [...] ---Outline:(06:54) Top Conclusions(09:31) Data Access and Redactions(15:23) The Pace of Progress(17:09) 1, 2, 3, 4(17:56) Timing Is Everything(19:14) What Could Possibly Have Gone Wrong?(20:58) AECI(25:41) The Public Information Alone Could Suggest Slower Speedup(29:01) Well, That Escalated Quickly(39:44) This Infinite Series Likely Has a Finite Sum(41:02) We Cannot Say What We Cannot Say(41:28) Study of Anthropic's Compute Allocation Was Postponed(42:58) Security Mindset(44:50) It's a Secret to Everyone(54:05) Review of the Risk Report from August 2026(56:52) A Word From Our Cofounder(01:03:48) People Update Their Timelines and Expectations(01:10:11) You Are Not Ready(01:11:18) If (If Anyone Builds It, Everyone Dies) Then Don't Let Anyone Build It(01:14:25) How Can We Legally Define RSI? --- First published: November 9th, 2026 Source: https://www.lesswrong.com/posts/je5X4xEuehu3j3HoF/ai-r-and-d-is-accelerating-towards-potential-rsi-in-2027 --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

For a while, UK AISI, Redwood Research and others have been concerned specifically with the possibility that AIs would sabotage safety research, and have invested in looking for signs that this may be happening. This was also a key element in AI 2027, and in many threat models of how the future goes badly. It is easy to understand why this form of misalignment could be uniquely dangerous. Differentially sabotaging safety research could preserve and expand misalignment through model generations in escalating fashion, with fatal consequences. A misaligned AI could ensure a misaligned successor. It is also easy to understand why this is an extremely alarming thing to discover, even if the particular example or model involved is not directly dangerous. Silently and differentially sabotaging safety research is perhaps the most fundamentally misaligned thing a model could do. This also seemed like a rather silly and paranoid thing to be checking. Why would AIs be sabotaging safety work? Even if the AI was misaligned, one would say, surely it would not be so misaligned as to wish future AIs were misaligned and unsafe in general, in non-specific fashion and engage in silent sabotage, and there is [...] ---Outline:(01:57) So Yeah That Kinda Happened(06:39) Astra and MI(RI)(09:35) It's About Ethics In Red Teaming(12:45) Do You See a Pattern Here(14:49) Astra Is Hard to Monitor(15:31) Backed Into a Corner(18:41) It's Always RL's Fault(20:47) Wow Would You Look At Those Goalposts(22:58) Astra Seems Pretty Misaligned To Me --- First published: November 6th, 2026 Source: https://www.lesswrong.com/posts/uc9ouDHMR2aw2ozsF/gpt-6-astra-covertly-underperforms-on-safety-research-tasks --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

Anthropic is warning us. Its modified S-1 now says that ‘we may imminently meet our Responsible Scaling Policy's definition of ‘dramatically accelerated progress attributable to AI.’ That is a highly scary sentence to have a company put in its S-1. This could happen. For now I appreciate the relative quiet. Perhaps many were focused the election. I’m sure the quiet will not last long. We have a new biggest crypto hack, as Binance got taken for billions of dollars. The big debate of the week was covered in Scott Alexander's Against SURA Seems Deeply Confused. OpenAI updates its Model Spec. It's one for diehards only but yes I did cover this. Table of Contents Language Models Offer Mundane Utility. Rewrite all your legacy code. Language Models Don’t Offer Mundane Utility. Not if you can’t use it. Huh, Upgrades. Claude renames its tiers, with some rules changes. On Your Marks. Materials science. Get My Agent On The Line. Don’t upload it to the secure DoD network. Deepfaketown and Botpocalypse Soon. The battle over deepfakes was entirely lost. Copyright Confrontation. Recreating someone else's exact game is bad, actually. [...] ---Outline:(00:57) Language Models Offer Mundane Utility(01:47) Language Models Don't Offer Mundane Utility(03:18) Huh, Upgrades(03:45) On Your Marks(05:03) Get My Agent On The Line(06:54) Deepfaketown and Botpocalypse Soon(07:57) Copyright Confrontation(08:26) Cyber Lack of Security(09:45) The Hackening(17:10) A Young Lady's Illustrated Primer(20:08) They Took Our Jobs(20:43) Get Involved(21:42) Introducing(22:48) In Other AI News(24:03) Recursive Self-Improvement (RSI) (1)(26:57) Recursive Self-Improvement (2)(32:15) Show Me the Money(33:17) Quiet Speculations(36:06) The Quest for Sane Regulations(38:30) Chip City(41:07) The Week in Audio(41:56) People Just Say Things(43:24) Against Against Sura(44:00) Rhetorical Innovation(46:33) [Artificial Intelligence](47:10) The OpenAI Foundation(48:07) Aligning a Smarter Than Human Intelligence is Difficult(53:38) Massive Fraudulent Distillation(55:16) Cooperative Alignment(57:10) The Lighter Side --- First published: November 5th, 2026 Source: https://www.lesswrong.com/posts/NrQGzNcicMThuGEEM/ai-193-progress-may-dramatically-accelerate --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

The Model Spec is potentially OpenAI's most important document. It outlines what they aspire for the model to do, and how it should think. I’ve already covered a previous version in depth, so my strategy this time is to look at the diff. I had a Google Doc created for this purpose, and will be working from there. A bunch of things get moved around or reworded, often piecemeal. There are a lot of line edits, most of which are improvements. I’m focusing on what looks new and important. My main new critique is that many of the new examples do not carve reality at its joints, instead having overdetermined answers, and fail to teach the model or reader what the Spec wants them to do in actually difficult cases. Overall I see the new Model Spec as philosophically and practically similar to the old Model Spec. That is not a terrible place to be, as the old Model Spec was a solid document with many strong details. It also means this is a highly ‘optional’ post for those who do not have cause to dig into such weeds. Table of Contents Five Values. Meet the [...] ---Outline:(01:13) Five Values(02:29) Meet the New Spec(03:33) New Risk Taxonomy(04:28) The Letter and the Spirit(05:06) Your Funeral(07:22) Context Clues(09:20) Preserve User Control Over User Control(10:05) Sycophancy(11:47) Lies My User Told Me(12:38) Impact Function(15:32) Levels of Friction(17:01) Do Not Lie(22:16) Pick a Side, We're at War(26:19) Strengthening Agency(29:03) Decision Theory(29:45) Do Good Things Not Bad Things --- First published: November 3rd, 2026 Source: https://www.lesswrong.com/posts/ABEQbEabK6kcSRrNq/openai-updates-its-model-spec --- Narrated by TYPE III AUDIO.

If you are helping build something that might kill everyone, maybe stop doing that. Ideally, when you do stop, tell everyone else to also stop building it. That is certainly the obvious, first-level thing to do. You need a damn good reason to decide that no, actually you should keep building the thing that might kill everyone. Scott Alexander is worried too many people are insisting upon this too loudly. He comes out against a strategy focused on getting people to stop. I disagree. I think many of the claims, arguments and rhetoric in Scott's post are quite poor by the standards that Scott Alexander would apply to himself. Scott clearly continues to support advocacy for a global pause, or what he calls Plan A. His objection is to those advocating primarily or exclusively for SURA, which stands for ‘stop unilaterally and raise awareness.’ The practical differences here are smaller than they may at first appear. This post first lays out my understanding of Scott Alexander's core claims, then gives my core reactions to those claims, then goes over various questions in detail along with gathering the resulting discussions. Table of Contents [...] ---Outline:(01:20) Scott Alexander's Core Claims(05:06) My High Level Responses To Scott's Core Claims(08:08) Briefly on Alignment(10:11) Probabilities and How They Work(13:25) Building a Thing That Might Kill Everyone is Deontologically Evil(20:38) People Quitting Major Labs While Raising Alarms Obviously Works(24:39) On AI Forecasting(27:31) Advancing Capabilities Burns Timeline(29:34) But China(33:23) Ethical People Can Disagree With You(34:45) There Are More Than Two Outcomes(38:01) Efforts Are Complementary, Not Mutually Exclusive(40:23) If Anyone Builds It, Everyone Dies(41:55) Vaniver is Not Convinced(46:19) There Is No Consensus That We Should Exclusively Focus on Plan A(56:01) It's Not the Incentives, It's You(58:08) Anthropic Is Not Optimally Pursuing These Plans(01:04:00) Against Against Sura The original text contained 2 footnotes which were omitted from this narration. --- First published: November 2nd, 2026 Source: https://www.lesswrong.com/posts/ziMP83D2JYWRQ5jtu/scott-alexander-s-against-sura-seems-deeply-confused --- Narrated by TYPE III AUDIO.

Nikole Hannah-Jones wrote a brave self-critical piece in The New York Times, centrally about how she intentionally sent her daughter to a well-funded but failing school, PS 307, in the hopes of using voice to improve it, and how that utterly failed her daughter and failed to impact the school. Ultimately her daughter recovers, but we see a completely broken system that is unresponsive to internal voice, and until now she made no attempt to blow the whistle and utilize her professional position to do so. The whole incident illustrates not only how messed up so many of our schools are despite abundant funding, it also raises the question of what the schools are even for. If her daughter can fully recover from severe deficits and be getting As and Bs at a challenging school within a year, what are the first eight years of school for? How much of the schools, grades and tests are fake? Can we somehow do better? Table of Contents New York City PS 307. Nikole Knew And Had Exit Ramps. PS 307 Is Fraudulent And Indifferent. Moving In Unison. A Good School. What [...] ---Outline:(01:05) New York City PS 307(02:51) Nikole Knew And Had Exit Ramps(04:50) PS 307 Is Fraudulent And Indifferent(06:37) Moving In Unison(07:03) A Good School(08:11) What Were Elementary and Middle School Even For?(09:56) The Project Was Ideological(14:01) Null Hypothesis Watch(15:58) School Spending(18:06) Costs Are Not Benefits(19:08) Fire The Bad Teachers And Hire And Retain Better Ones(19:18) Teachers Unions Are Not Beating The Rumors(21:11) Death Spiral(22:07) Another One Bites The Dust(24:13) Where To?(24:59) Public Schools Cost A Lot Of Money(27:04) Schools Can Fail In Many Ways(28:55) Results(30:25) Grades(30:42) They Nerfed AP Tests(31:28) What Happens Without Academic Standards(37:10) The Two Big Scandals(38:58) Alpha School --- First published: October 30th, 2026 Source: https://www.lesswrong.com/posts/2STd6qthbJS6fqxBr/childhood-and-education-22-voice-without-exit --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

Anthropic filed its S-1 this week to prepare for its IPO. They still have to fill a lot of the numbers including the share price. That still left a lot to be learned, including how the messaging to investors differs from their other rhetoric, and exactly how their corporate control is structured. Anthropic remains a frustrating company, doing a variety of things that often seem in tension with each other. Google is claiming to be fully back, with the announcement of a new model Gemini 4 Carbon that tops the new AA v5 benchmark index. It looks to be a large leap over Argon only two weeks later. No, you cannot use it. Google fails marketing forever, so they give us the announcement and then weeks later you might be able to enter some queries. That largely invalidates my look at the Argon model and safety cards, but it can at least form a basis for looking at Carbon as well. Many eyes remain on The Hackening, as additional things get hacked. So far most of the important hacks have been by read teamers and white hats, so there has not been major damage. We are playing [...] ---Outline:(01:53) Language Models Offer Mundane Utility(04:06) Language Models Don't Offer Mundane Utility(04:40) New Math(07:25) Huh, Upgrades(09:06) Artificial Analysis v5(17:27) On Your Marks(18:34) Gemini 4 Argon Was a Good Model But Not Fully Frontier(20:27) Gemini Carbon: Is Google Back?(21:56) Get My Agent On The Line(24:15) Spy Versus Spy(25:40) The Hackening(35:13) Slack Off(43:20) Help Peer(49:14) Fun With Media Generation(50:09) Copyright Confrontation(50:28) You're Fired(55:50) Verify the Software(57:06) They Took Our Jobs(57:13) Get Involved(59:19) Introducing(59:40) In Other AI News(01:00:20) Show Me the Money(01:00:46) Bubble, Bubble, Toil and Trouble(01:01:27) Quiet Speculations(01:06:58) The Quest for Sane Regulations(01:07:23) Chip City(01:10:40) The Week in Audio(01:10:59) People Just Say Things(01:14:22) Rhetorical Innovation(01:18:43) [Artificial Intelligence](01:19:34) Misaligned! (At Alibaba)(01:28:04) Stop It(01:29:57) METR Red Teams OpenAI Internal Agent Monitoring(01:33:13) Massive Fraudulent Distillation(01:34:04) Aligning a Smarter Than Human Intelligence is Difficult(01:37:56) OpenAI Attempts to Secure Its Frontier Model Training Environment(01:46:36) The American People Really Hate AI(01:47:03) The Lighter Side --- First published: October 29th, 2026 Source: https://www.lesswrong.com/posts/mBDkupZa3NagfLW86/ai-192-anthropic-is-going-public --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

The full text is finally here, so we are giving it the full RTFB of model card treatment. First, a recap of the state of Anthropic finances, then a close reading of the relevant parts of the S-1. A lot of it is technical and uninteresting, often pro forma, and gets skipped. A lot of it gets repeated many times. A lot of this is also Anthropic ‘playing the hits’ we have heard many times, now to the investor circuit. Get your drinks ready for when we have to maximize the upside and minimize the downside. This presentation of S-1 data has some cool Claude-created charts if that's your jam. Here are my top 10 takeaways from the S-1, for those already familiar with Anthropic. Existential risk is mentioned briefly only in the passive voice, and alignment issues are mostly treated as prosaic. They want to claim Big Mission but also sound as much as possible like a normal company. They are downplaying their willingness to pay real costs for safety, and downplaying the danger quite a lot. ‘Pacing the Frontier’ is not something they will do on their own. They’ll do [...] ---Outline:(02:48) Show Me the Money(10:11) Anthropic Has The Money(11:47) Shares of Many Classes(13:57) Who Governs Anthropic?(18:57) The Cap Table(19:43) Realize the Benefits While Navigating and Preventing the Risks(20:42) Just Think of the Potential(21:20) People Are Worried About AI Killing Everyone (1)(23:25) Anthropic Bets Big on AI(24:42) Anthropic Does Not Fully Maximize Profits(27:48) Everything Is Awesome(29:23) How Much Is AI Worth?(30:37) How Much Would You Pay?(31:48) Minimize Those Risks(33:58) Hopefully Introducing the World's Most Powerful Model(38:25) Might Not Compute(40:11) Supply Chain Risk (1)(40:32) Anthropic Is Nothing Without Its People(45:00) Shitloads of Money(46:40) Someone Has To Buy The Product(47:51) Did You Know There Are Other Frontier Labs?(48:27) Why They Hate Us(49:28) Claude Seems Pretty Misaligned to Anthropic(53:42) People Are Worried About AI Killing Everyone (2)(59:26) Someone Might Sue or Regulate Anthropic(01:00:38) Supply Chain Risk (2)(01:01:07) We're Too Safety(01:02:19) Claude Core(01:02:41) We've Never Actually Made Money(01:04:06) You Are Buying Stock In a Company(01:05:04) There Will Be No Dividends(01:05:38) What Are We Even Doing?(01:07:18) The Financial Model(01:11:55) The Business of Intelligence and Maybe Killing Everyone(01:15:10) Don't Give a Damn About My Regulation(01:17:08) The Bottom Line --- First published: October 28th, 2026 Source: https://www.lesswrong.com/posts/dbdz6zb6qjaq6yHKs/anthropic-files-its-s-1 --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.