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    Technology

    LessWrong posts by zvi

    Audio narrations of LessWrong posts by zvi

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    Copyright: © 2024 All rights reserved

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    Latest Episodes:
    “AI #155: Welcome to Recursive Self-Improvement” by Zvi Feb 20, 2026
    Show notes

    This was the week of Claude Opus 4.6, and also of ChatGPT-5.3-Codex. Both leading models got substantial upgrades, although OpenAI's is confined to Codex. Once again, the frontier of AI got more advanced, especially for agentic coding but also for everything else.

    I spent the week so far covering Opus, with two posts devoted to the extensive model card, and then one giving benchmarks, reactions, capabilities and a synthesis, which functions as the central review.

    We also got GLM-5, Seedance 2.0, Claude fast mode, an app for Codex and much more.

    Claude fast mode means you can pay a premium to get faster replies from Opus 4.6. It's very much not cheap, but it can be worth every penny. More on that in the next agentic coding update.

    One of the most frustrating things about AI is the constant goalpost moving, both in terms of capability and safety. People say ‘oh [X] would be a huge deal but is a crazy sci-fi concept’ or ‘[Y] will never happen’ or ‘surely we would not be so stupid as to [Z]’ and then [X], [Y] and [Z] all happen and everyone shrugs as if nothing happened and [...]

    ---

    Outline:

    (02:32) Language Models Offer Mundane Utility

    (03:17) Language Models Dont Offer Mundane Utility

    (03:33) Huh, Upgrades

    (04:22) On Your Marks

    (06:23) Overcoming Bias

    (07:20) Choose Your Fighter

    (08:44) Get My Agent On The Line

    (12:03) AI Conversations Are Not Privileged

    (12:54) Fun With Media Generation

    (13:59) The Superb Owl

    (22:07) A Word From The Torment Nexus

    (26:33) They Took Our Jobs

    (35:36) The Art of the Jailbreak

    (35:48) Introducing

    (37:28) In Other AI News

    (42:01) Show Me the Money

    (43:05) Bubble, Bubble, Toil and Trouble

    (53:38) Future Shock

    (56:06) Memory Lane

    (57:09) Keep The Mask On Or Youre Fired

    (58:35) Quiet Speculations

    (01:03:42) The Quest for Sane Regulations

    (01:06:09) Chip City

    (01:09:46) The Week in Audio

    (01:10:06) Constitutional Conversation

    (01:11:00) Rhetorical Innovation

    (01:19:26) Working On It Anyway

    (01:22:17) The Thin Red Line

    (01:23:35) Aligning a Smarter Than Human Intelligence is Difficult

    (01:30:42) People Will Hand Over Power To The AIs

    (01:31:50) People Are Worried About AI Killing Everyone

    (01:32:40) Famous Last Words

    (01:40:15) Other People Are Not As Worried About AI Killing Everyone

    (01:42:41) The Lighter Side

    ---

    First published:
    February 12th, 2026

    Source:
    https://www.lesswrong.com/posts/cytxHuLc8oHRq7sNE/ai-155-welcome-to-recursive-self-improvement

    ---

    Narrated by TYPE III AUDIO.

    ---

    Images from the article:

    Graph showing task length at 50% success rate for AI models over time, with GPT-5.2 projection.Table showing prediction scorecard with seven AI-related forecasts and their status through 2026.ChatGPT interface showing party planning advice and sponsored Heirloom Groceries advertisement.Diagram comparing outsider versus expert approaches to writing from draft to completion.News article screenshot. The headline reads: Bar chart comparing five LLM models across eight performance benchmarks for agentic, reasoning, and coding tasks.Diagram showing Meta Agent's iterative cycle: Ideate, Plan, Implement, Evaluate memory designs.Person wearing beanie and headset with hand near chin.Line graph showing daily share-price changes for S&P 500 and tech companies after Anthropic releases new tools.Three people sitting in bowling alley seating area, one yawningZvi Mowshowitz tweets: Diagram showing AI Safety Benchmark upgrade from version 1.0 to 2.0 across three years.Man gesturing while speaking with meme text about AI replacing humans.News article screenshot. The headline reads: Man with glasses and goatee making exaggerated shocked expression.Chat interface showing a question about vintage clothing stores in San Francisco and a humorous response about Buffalo Exchange.Liv tweets: Teja Karlapudi tweets: Graph showing AI model task duration predictions over time, with exponential growth trend toward 2025.

    Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.


    “AI #156 Part 2: Errors in Rhetoric” by Zvi Feb 20, 2026
    Show notes

    Things that are being pushed into the future right now:

    1. Gemini 3.1 Pro and Gemini DeepThink V2.
    2. Claude Sonnet 4.6.
    3. Grok 4.20.
    4. Updates on Agentic Coding.
    5. Disagreement between Anthropic and the Department of War.

    We are officially a bit behind and will have to catch up next week.

    Even without all that, we have a second highly full plate today.

    Table of Contents

    (As a reminder: bold are my top picks, italics means highly skippable)

    1. Levels of Friction. Marginal costs of arguing are going down.
    2. The Art Of The Jailbreak. UK AISI finds a universal method.
    3. The Quest for Sane Regulations. Some relatively good proposals.
    4. People Really Hate AI. Alas, it is mostly for the wrong reasons.
    5. A Very Bad Paper. Nick Bostrom writes a highly disappointing paper.
    6. Rhetorical Innovation. The worst possible plan is the best one on the table.
    7. The Most Forbidden Technique. <wonka voice> No, stop, come back. </wonka>
    8. Everyone Is Or Should Be Confused About Morality. New levels of ‘can you?’
    9. Aligning a Smarter Than Human Intelligence is Difficult. Seeking a good basin.
    10. [...]

    ---

    Outline:

    (00:43) Levels of Friction

    (04:55) The Art Of The Jailbreak

    (06:16) The Quest for Sane Regulations

    (12:09) People Really Hate AI

    (18:22) A Very Bad Paper

    (25:21) Rhetorical Innovation

    (32:35) The Most Forbidden Technique

    (34:10) Everyone Is Or Should Be Confused About Morality

    (36:07) Aligning a Smarter Than Human Intelligence is Difficult

    (44:51) Well Just Call It Something Else

    (47:18) Vulnerable World Hypothesis

    (51:37) Autonomous Killer Robots

    (53:18) People Will Hand Over Power To The AIs

    (57:04) People Are Worried About AI Killing Everyone

    (59:29) Other People Are Not Worried About AI Killing Everyone

    (01:00:56) The Lighter Side

    ---

    First published:
    February 20th, 2026

    Source:
    https://www.lesswrong.com/posts/obqmuRxwFyy8ziPrB/ai-156-part-2-errors-in-rhetoric

    ---

    Narrated by TYPE III AUDIO.

    ---

    Images from the article:

    Figure illustrating adversarial prefixes bypassing harmful request detection in AI models.Bar graph showing opinions on AI's impact: harm versus benefit them.Chat message reading: Andrew Critch tweets: Elderly man with long white hair and beard in dim lighting.Podcast or video thumbnail featuring Ajeya Cotra discussing AI safety.Yo Shavit tweets: Detailed infographic illustrating AI language model architecture using transit system metaphors and geometric concepts.Graph showing Forest plot showing risk ratios comparing LLM to INT across laboratory tasks with confidence intervals.Chart showing autonomous robot deployment stages across industrial, household, and navigation tasks.Liv Boeree tweets: News article screenshot. The headline reads:

    Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.


    “AI #156 Part 1: They Do Mean The Effect On Jobs” by Zvi Feb 19, 2026
    Show notes

    There was way too much going on this week to not split, so here we are. This first half contains all the usual first-half items, with a focus on projections of jobs and economic impacts and also timelines to the world being transformed with the associated risks of everyone dying.

    Quite a lot of Number Go Up, including Number Go Up A Lot Really Fast.

    Among the thing that this does not cover, that were important this week, we have the release of Claude Sonnet 4.6 (which is a big step over 4.5 at least for coding, but is clearly still behind Opus), Gemini DeepThink V2 (so I could have time to review the safety info), release of the inevitable Grok 4.20 (it's not what you think), as well as much rhetoric on several fronts and some new papers. Coverage of Claude Code and Cowork, OpenAI's Codex and other things AI agents continues to be a distinct series, which I’ll continue when I have an open slot.

    Most important was the unfortunate dispute between the Pentagon and Anthropic. The Pentagon's official position is they want sign-off from Anthropic and other AI companies on ‘all legal uses’ [...]

    ---

    Outline:

    (02:26) Language Models Offer Mundane Utility

    (02:49) Language Models Dont Offer Mundane Utility

    (06:11) Terms of Service

    (06:54) On Your Marks

    (07:50) Choose Your Fighter

    (09:19) Fun With Media Generation

    (12:29) Lyria

    (14:13) Superb Owl

    (14:54) A Young Ladys Illustrated Primer

    (15:03) Deepfaketown And Botpocalypse Soon

    (17:49) You Drive Me Crazy

    (18:04) Open Weight Models Are Unsafe And Nothing Can Fix This

    (21:19) They Took Our Jobs

    (26:53) They Kept Our Agents

    (27:42) The First Thing We Let AI Do

    (37:47) Legally Claude

    (40:24) Predictions Are Hard, Especially About The Future, But Not Impossible

    (46:08) Many Worlds

    (48:45) Bubble, Bubble, Toil and Trouble

    (49:31) A Bold Prediction

    (49:55) Brave New World

    (53:09) Augmented Reality

    (55:21) Quickly, Theres No Time

    (58:29) If Anyone Builds It, We Can Avoid Building The Other It And Not Die

    (01:00:18) In Other AI News

    (01:04:03) Introducing

    (01:04:31) Get Involved

    (01:07:15) Show Me the Money

    (01:08:26) The Week In Audio

    ---

    First published:
    February 19th, 2026

    Source:
    https://www.lesswrong.com/posts/jcAombEXyatqGhYeX/ai-156-part-1-they-do-mean-the-effect-on-jobs

    ---

    Narrated by TYPE III AUDIO.

    ---

    Images from the article:

    maria >ω< tweets: Leaderboard table showing AI model rankings with performance scores and crash rates.fofr tweets: Button with Flowchart showing bottlenecks between AI capabilities and positive transformation of legal practice.Infographic titled Meme comparing OpenAI's data center investments to AI's lack of business model.Rainbow colored puzzle piece icon with gradient shading.Graph showing physical tech level projections with fast, slow, and no takeoff scenarios from 2026 to 2033.Framed inspirational quote about not becoming attached to beliefs about timelines.Performance comparison bar charts across 12 AI benchmarks for different language models.Infographic showing a five-fold solution to AI risk with interconnected strategic approaches.Bar graph showing

    Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.


    “Monthly Roundup #39: February 2026” by Zvi Feb 18, 2026
    Show notes

    There really is a lot going on these days.

    I held off posting this because I was trying to see if I could write a net helpful post about the current situation involving Anthropic and the Pentagon. Anthropic very much wants to help DoW defend our country and make us strong. It is clear there have been some large misunderstandings here about how LLMs work.

    They are not ordinary tools like spreadsheets that automatically do whatever the user asks, nor would it be safe to make them so, nor do they predictably adhere to written rule sets or take instructions from their CEO in a crisis. And they are probabilistic. You do not and cannot get absolute guarantees.

    The only way to know if an AI model will do what you need in a crisis is something you needed to be do regardless of potential refusals, and which is also what you must do with human soldiers, which is to run the simulations and mock battles and drills and tests that tell you if the model can do and is willing to do the job.

    If there are irreconcilable differences and the military contract needs [...]

    ---

    Outline:

    (02:09) Bad News

    (04:03) Government Working

    (15:11) The Epstein Files

    (17:17) RIP Scott Adams

    (19:08) News You Cant Use But Click On Anyway

    (20:22) Were Putting Together A Team

    (20:47) You Cant Retire, I Quit

    (23:41) Jones Act Watch

    (33:24) Variously Effective Altruism

    (34:41) They Took Our Jobs And Now I Can Relax

    (35:39) While I Cannot Condone This

    (37:32) Good News, Everyone

    (39:19) Use Your One Time

    (42:34) Hands Off My Phone

    (45:14) Fun Theory

    (46:46) Good Advice

    (48:31) For Your Entertainment

    (51:07) Plur1bus

    (52:14) Gamers Gonna Game Game Game Game Game

    (57:58) Sports Go Sports

    (01:02:49) The Revolution of Retroactive Rising Expectations

    (01:04:15) I Was Promised Spying Cars

    (01:05:13) Prediction Market Madness

    (01:09:02) The Lighter Side

    ---

    First published:
    February 18th, 2026

    Source:
    https://www.lesswrong.com/posts/3QPoEGfzHaywGDWKr/monthly-roundup-39-february-2026

    ---

    Narrated by TYPE III AUDIO.

    ---

    Images from the article:

    Gary Grumbach tweets: Dredging vessel working in turquoise coastal waters near shore.Highlighted text about Coast Guard Authorization Act exemptions to Jones Act for foreign-built vessels.Line graph showing mean happiness scores by sex and age in UK, 2016-2018.Area chart showing taoki tweets: Two heart-shaped figures playing Scrabble with contrasting inner thoughts displayed.Ryan Petersen tweets: Maia tweets: Person holding Xbox 360 video game case featuring character with red hair.Donald L Wray tweets: A user tweets: Leo Kearse tweets: David Harsanyi tweets:

    Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.


    “On Dwarkesh Patel’s 2026 Podcast With Elon Musk and Other Recent Elon Musk Things” by Zvi Feb 17, 2026
    Show notes

    Some podcasts are self-recommending on the ‘yep, I’m going to be breaking this one down’ level. This was one of those. So here we go.

    As usual for podcast posts, the baseline bullet points describe key points made, and then the nested statements are my commentary. Some points are dropped.

    If I am quoting directly I use quote marks, otherwise assume paraphrases.

    Normally I keep everything to numbered lists, but in several cases here it was more of a ‘he didn’t just say what I think he did did he’ and I needed extensive quotes.

    In addition to the podcast, there were some discussions around safety, or the lack thereof, at xAI, and Elon Musk went on what one can only describe as megatilt, including going hard after Anthropic's Amanda Askell. I will include that as a postscript.

    I will not include recent developments regarding Twitter, since that didn’t come up in the interview.

    I lead with a discussion of bounded distrust and how to epistemically consider Elon Musk, since that will be important throughout including in the postscript.

    What are the key takeaways?

    1. Elon Musk is more confused than [...]

    ---

    Outline:

    (02:56) Bounded Distrust

    (05:12) IN SPACE

    (09:56) The AI Will Follow You To Mars

    (22:32) xAI Business Plans

    (25:54) Optimus Prime

    (27:04) Beating China

    (30:02) SpaceX and How To Run a Company Elon Style

    (33:17) DOGE

    (35:29) TeraFab IN SPACE

    (35:47) Postscript: Safety Third at xAI

    (40:15) Elon Serves Back Saying That Which Is Not

    (42:51) Elons Army

    (43:55) Children Are Our Future

    (48:11) Where Do We Go From Here

    ---

    First published:
    February 17th, 2026

    Source:
    https://www.lesswrong.com/posts/5yidbWsdWjNzWzLWZ/on-dwarkesh-patel-s-2026-podcast-with-elon-musk-and-other

    ---

    Narrated by TYPE III AUDIO.

    ---

    Images from the article:

    Three men sitting at bar table with dark beers and illuminated shelves behind.Stefan Schubert tweets:

    Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.


    “On Dwarkesh Patel’s 2026 Podcast With Dario Amodei” by Zvi Feb 16, 2026
    Show notes

    Some podcasts are self-recommending on the ‘yep, I’m going to be breaking this one down’ level. This was very clearly one of those. So here we go.

    As usual for podcast posts, the baseline bullet points describe key points made, and then the nested statements are my commentary. Some points are dropped.

    If I am quoting directly I use quote marks, otherwise assume paraphrases.

    What are the main takeaways?

    1. Dario mostly stands by his predictions of extremely rapid advances in AI capabilities, both in coding and in general, and in expecting the ‘geniuses in a data center’ to show up within a few years, possibly even this year.
    2. Anthropic's actions do not seem to fully reflect this optimism, but also when things are growing on a 10x per year exponential if you overextend you die, so being somewhat conservative with investment is necessary unless you are prepared to fully burn your boats.
    3. Dario reiterated his stances on China, export controls, democracy, AI policy.
    4. The interview downplayed catastrophic and existential risk, including relative to other risks, although it was mentioned and Dario remains concerned. There was essentially no talk about alignment [...]

    ---

    Outline:

    (01:47) The Pace of Progress

    (08:56) Continual Learning

    (13:46) Does Not Compute

    (15:29) Step Two

    (22:58) The Quest For Sane Regulations

    (26:08) Beating China

    ---

    First published:
    February 16th, 2026

    Source:
    https://www.lesswrong.com/posts/jWCy6owAmqLv5BB8q/on-dwarkesh-patel-s-2026-podcast-with-dario-amodei

    ---

    Narrated by TYPE III AUDIO.

    ---

    Images from the article:

    Person wearing blue cardigan and glasses gesturing while speaking near microphone.

    Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.


    “ChatGPT-5.3-Codex Is Also Good At Coding” by Zvi Feb 13, 2026
    Show notes

    OpenAI is back with a new Codex model, released the same day as Claude Opus 4.6.

    The headline pitch is it combines the coding skills of GPT-5.2-Codex with the general knowledge and skills of other models, along with extra speed and improvements in the Codex harness, so that it can now handle your full stack agentic needs.

    We also got the Codex app for Mac, which is getting positive reactions, and quickly picked up a million downloads.

    CPT-5.3-Codex is only available inside Codex. It is not in the API.

    As usual, Anthropic's release was understated, basically a ‘here's Opus 4.6, a 212-page system card and a lot of benchmarks, it's a good model, sir, so have fun.’ Whereas OpenAI gave us a lot less words and a lot less benchmarks, while claiming their model was definitely the best.

    OpenAI: GPT-5.3-Codex is the most capable agentic coding model to date, combining the frontier coding performance of GPT-5.2-Codex with the reasoning and professional knowledge capabilities of GPT-5.2. This enables it to take on long-running tasks that involve research, tool use, and complex execution.

    Much like a colleague, you can steer and interact with GPT-5.3-Codex while [...]

    ---

    Outline:

    (01:50) The Overall Picture

    (03:00) Quickly, Theres No Time

    (04:15) System Card

    (04:49) AI Box Experiment

    (05:22) Maybe Cool It With Rm

    (07:02) Preparedness Framework

    (11:14) Glass Houses

    (12:16) OpenAI Appears To Have Violated SB 53 In a Meaningful Way

    (14:29) Safeguards They Did Implement

    (16:55) Misalignment Risks and Internal Deployment

    (18:38) The Official Pitch

    (24:28) Inception

    (26:12) Turn The Beat Around

    (27:35) Codex Does Cool Things

    (29:33) Positive Reactions

    (38:03) Negative Reactions

    (40:43) Codex of Ultimate Vibing

    ---

    First published:
    February 13th, 2026

    Source:
    https://www.lesswrong.com/posts/CCDRjL7NZtNGtGheY/chatgpt-5-3-codex-is-also-good-at-coding

    ---

    Narrated by TYPE III AUDIO.

    ---

    Images from the article:

    Table showing destructive action avoidance scores across five GPT model versions.Table showing Bar chart titled Bar graph titled Line graph showing accuracy versus output tokens for GPT model versions on SWE-Bench Pro benchmark.City simulation game showing colorful urban map with buildings and waterways.

    Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.


    “Claude Opus 4.6 Escalates Things Quickly” by Zvi Feb 11, 2026
    Show notes

    Life comes at you increasingly fast. Two months after Claude Opus 4.5 we get a substantial upgrade in Claude Opus 4.6. The same day, we got GPT-5.3-Codex.

    That used to be something we’d call remarkably fast. It's probably the new normal, until things get even faster than that. Welcome to recursive self-improvement.

    Before those releases, I was using Claude Opus 4.5 and Claude Code for essentially everything interesting, and only using GPT-5.2 and Gemini to fill in the gaps or for narrow specific uses.

    GPT-5.3-Codex is restricted to Codex, so this means that for other purposes Anthropic and Claude have only extended the lead. This is the first time in a while that a model got upgraded while it was still my clear daily driver.

    Claude also pulled out several other advances to their ecosystem, including fast mode, and expanding Cowork to Windows, while OpenAI gave us an app for Codex.

    For fully agentic coding, GPT-5.3-Codex and Claude Opus 4.6 both look like substantial upgrades. Both sides claim they’re better, as you would expect. If you’re serious about your coding and have hard problems, you should try out both, and see what combination works [...]

    ---

    Outline:

    (01:55) On Your Marks

    (17:35) Official Pitches

    (17:56) It Compiles

    (21:42) It Exploits

    (22:45) It Lets You Catch Them All

    (23:16) It Does Not Get Eaten By A Grue

    (24:10) It Is Overeager

    (25:24) It Builds Things

    (27:58) Pro Mode

    (28:24) Reactions

    (28:36) Positive Reactions

    (42:12) Negative Reactions

    (50:40) Personality Changes

    (56:28) On Writing

    (59:11) They Banned Prefilling

    (01:00:27) A Note On System Cards In General

    (01:01:34) Listen All Yall Its Sabotage

    (01:05:00) The Codex of Competition

    (01:06:22) The Niche of Gemini

    (01:07:55) Choose Your Fighter

    (01:12:17) Accelerando

    ---

    First published:
    February 11th, 2026

    Source:
    https://www.lesswrong.com/posts/5JNjHNn3DyxaGbv8B/claude-opus-4-6-escalates-things-quickly

    ---

    Narrated by TYPE III AUDIO.

    ---

    Images from the article:

    Illuminated gauge displaying numerical values from 1.0 to 5.3.Benchmark comparison table showing performance scores across five AI models on various tasks.Graph showing FrontierMath Tiers 1-3 accuracy over time with model releases highlighted.Line graph titled Bar chart titled Table comparing AI model performance across 17 tasks, showing accuracy, cost, and code metrics.Scatter plot titled Table comparing AI models across abilities including Humanity, Safety, Assertiveness, and total scores.Bar graph titled Two scatter plots showing performance vs cost per task for ARC-AGI-1 and ARC-AGI-2 benchmarks.Five bar graphs comparing average scores across three models for different scientific benchmarks, with MCQ and open-ended question types shown.Cartoon horse riding astronaut in space with planet.Top-down pixel art game showing character in wooden cabin interior with sleeping cat.Dog sitting at table surrounded by fire and tentacled monsters with coffee mug.Zvi Mowshowitz tweets: Bar graph titled Two bullet points discussing Claude Opus 4.6 safety analysis and API changes regarding prefill mechanisms.Poll results showing Claude leading with 54.8% for Zvi Mowshowitz tweets: Zvi Mowshowitz tweets: Zvi Mowshowitz tweets: Zvi Mowshowitz tweets:

    Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.


    “Claude Opus 4.6: System Card Part 2: Frontier Alignment” by Zvi Feb 10, 2026
    Show notes

    Coverage of Claude Opus 4.6 started yesterday with the mundane alignment and model welfare sections of the model card.

    Today covers the kinds of safety I think matter most: Sabotage, deception, situational awareness, outside red teaming and most importantly the frontier, catastrophic and existential risks. I think it was correct to release Opus 4.6 as an ASL-3 model, but the process Anthropic uses is breaking down, and it not on track to reliably get the right answer on Opus 5.

    Tomorrow I’ll cover benchmarks, reactions and the holistic takeaways and practical implications. I’m still taking it all in, but it seems clear to me that Claude Opus 4.6 is the best model out there and should be your daily driver, with or without Claude Code, on most non-coding tasks, but it is not without its weaknesses, in particular in writing and falling into generating more ‘AI slop’ style prose than Claude Opus 4.5.

    For coding tasks, I presume that Opus 4.6 with Claude Code is the play, especially with Agent Teams and fast mode available, and I’m using it myself, but Codex with GPT-5.3-Codex-Max is also a strong model and a viable alternative, and a fully [...]

    ---

    Outline:

    (01:32) Sabotage, Deception and Evaluation Integrity

    (03:42) Sandbagging On Dangerous Capability Evaluations

    (06:01) Situational Awareness

    (07:33) Inhibiting Evaluation Awareness (6.5)

    (09:06) Self-Preference

    (10:24) UK AISI Testing

    (11:40) Apollo Research Testing

    (14:24) Responsible Scaling Policy Evaluations

    (15:45) CBRN (mostly Biology)

    (18:43) Autonomy

    (26:40) Autonomy Benchmarks

    (29:53) Cyber

    (31:27) Ship It Anyway

    (33:40) You Are Not Ready

    ---

    First published:
    February 10th, 2026

    Source:
    https://www.lesswrong.com/posts/togCQtFtfdF23xGNS/claude-opus-4-6-system-card-part-2-frontier-alignment

    ---

    Narrated by TYPE III AUDIO.

    ---

    Images from the article:

    Bar graph titled Bar graphs comparing automated behavioral audit scores across five Claude models for misaligned behavior and verbalized evaluation awareness.Bar graph titled Bar graph titled Tables showing AI R&D evaluation categories and descriptions for research capabilities.Three histograms showing speedup factors for Claude AI models on AIRD Kernels Hard Variant task.Box plots comparing AI time series forecasting performance across difficulty levels and model versions.Box plot titled Box plot comparing AI R&D model training scores for three Claude versions.Box plots comparing AI R&D scores across Claude models with and without hyperparameters and reward functions.Table titled

    Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.


    “Claude Opus 4.6: System Card Part 1: Mundane Alignment and Model Welfare” by Zvi Feb 09, 2026
    Show notes

    Claude Opus 4.6 is here. It was built with and mostly evaluated by Claude.

    Their headline pitch includes:

    1. 1M token context window (in beta) with State of the art retrieval performance.
    2. Improved abilities on a range of everyday work tasks. Model is improved.
    3. State of the art on some evaluations, including Terminal-Bench 2.0, HLE and a very strong lead in GDPval-AA.
    4. Claude Code now has an experimental feature called Agent Teams.
    5. Claude Code with Opus 4.6 has a new fast (but actually expensive) mode.
    6. Upgrades to Claude in Excel and the release of Claude in PowerPoint.

    Other notes:

    1. Price remains $5/$25, the same as Opus 4.5, unless you go ultra fast.
    2. There is now a configurable ‘effort’ parameter with four settings.
    3. Refusals for harmless requests with rich context are down to 0.04%.
    4. Data sources are ‘all of the above,’ including the web crawler (that they insist won’t cross CAPTCHAs or password protected pages) and other public data, various non-public data sources, data from customers who opt-in to that and internally generated data. They use ‘several’ data filtering methods.
    5. Thinking mode gives better [...]

    ---

    Outline:

    (03:45) A Three Act Play

    (04:57) Safety Not Guaranteed

    (10:53) Pliny Can Still Jailbreak Everything

    (12:48) Transparency Is Good: The 212-Page System Card

    (13:53) Mostly Harmless

    (17:45) Mostly Honest

    (19:01) Agentic Safety

    (20:27) Prompt Injection

    (23:07) Key Alignment Findings

    (33:48) Behavioral Evidence (6.2)

    (38:40) Reward Hacking and 'Overly Agentic Actions'

    (40:37) Metrics (6.2.5.2)

    (42:40) All I Did It All For The GUI

    (43:58) Case Studies and Targeted Evaluations Of Behaviors (6.3)

    (44:19) Misrepresenting Tool Results

    (45:09) Unexpected Language Switching

    (46:12) The Ghost of Jones Foods

    (47:54) Loss of Style Points

    (48:54) White Box Model Diffing

    (49:13) Model Welfare

    ---

    First published:
    February 9th, 2026

    Source:
    https://www.lesswrong.com/posts/sWsSncqMLKyGZA9Ar/claude-opus-4-6-system-card-part-1-mundane-alignment-and

    ---

    Narrated by TYPE III AUDIO.

    ---

    Images from the article:

    AI chatbot conversation showing prompt injection warning and responseTable showing refusal rates for Claude models on higher-difficulty benign request evaluations.Bar charts showing appropriate response rates for multi-turn conversation evaluations across testing areas.Two bar graphs comparing AI model performance on 100Q-Hard benchmark: correct rate and net score.Two bar graphs comparing model performance: Two bar graphs showing correct rates and net scores for different AI models on AA-Omniscience benchmark.Table showing Claude model performance comparing malicious refusal rates and dual-use success rates.Table showing Claude Code evaluation results with mitigations for different models, comparing malicious refusal and dual-use success rates.Table showing attack success rates of Shade indirect prompt injection attacks across three Claude models with different thinking modes and safeguard conditions.Bar chart titled Table showing attack success rates for AI models with and without safeguards across attempt counts.Two tables showing attack success rates for Claude models in browser environments with varying safeguards.Two train passengers viewing opposite scenery: tunnel darkness versus scenic landscape.Bar graph titled Bar graph titled Bar graph showing White-box analysis showing model detecting Russian language before explicit cues appear.Bar graphs showing automated behavioral audit scores across multiple welfare-related metrics for different Claude models.

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