Join us each week as celebrity guests pitch an idea for a film based on one of the SUPER niche sub-genres on Netflix. From ‘Steamy Crime Movies from the 1970s’ to ‘Australian Dysfunctional Family Comedies Starring A Strong Female Lead’, our celebrity guests will pitch their wacky plot, their dream cast, the marketing stunts, and everything in between. By the end of every episode, Jimmy Carr, Comedian by night / “Netflix Executive” by day, will decide whether the pitch is greenlit or condemned to development hell! New episode every other Wednesday starting May 28th! Listen on all podcast platforms and watch on the Netflix is a Joke YouTube Channel . The Big Pitch is a co-production by Netflix and BBC Studios Audio.…
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“Training AGI in Secret would be Unsafe and Unethical” by Daniel Kokotajlo
Manage episode 478159372 series 3364758
תוכן מסופק על ידי LessWrong. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי LessWrong או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
Subtitle: Bad for loss of control risks, bad for concentration of power risks
I’ve had this sitting in my drafts for the last year. I wish I’d been able to release it sooner, but on the bright side, it’ll make a lot more sense to people who have already read AI 2027.
---
First published:
April 18th, 2025
Source:
https://www.lesswrong.com/posts/FGqfdJmB8MSH5LKGc/training-agi-in-secret-would-be-unsafe-and-unethical-1
---
Narrated by TYPE III AUDIO.
…
continue reading
I’ve had this sitting in my drafts for the last year. I wish I’d been able to release it sooner, but on the bright side, it’ll make a lot more sense to people who have already read AI 2027.
- There's a good chance that AGI will be trained before this decade is out.
- By AGI I mean “An AI system at least as good as the best human X’ers, for all cognitive tasks/skills/jobs X.”
- Many people seem to be dismissing this hypothesis ‘on priors’ because it sounds crazy. But actually, a reasonable prior should conclude that this is plausible.[1]
- For more on what this means, what it might look like, and why it's plausible, see AI 2027, especially the Research section.
- If so, by default the existence of AGI will be a closely guarded [...]
---
First published:
April 18th, 2025
Source:
https://www.lesswrong.com/posts/FGqfdJmB8MSH5LKGc/training-agi-in-secret-would-be-unsafe-and-unethical-1
---
Narrated by TYPE III AUDIO.
519 פרקים
שתפוManage episode 478159372 series 3364758
תוכן מסופק על ידי LessWrong. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי LessWrong או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
Subtitle: Bad for loss of control risks, bad for concentration of power risks
I’ve had this sitting in my drafts for the last year. I wish I’d been able to release it sooner, but on the bright side, it’ll make a lot more sense to people who have already read AI 2027.
---
First published:
April 18th, 2025
Source:
https://www.lesswrong.com/posts/FGqfdJmB8MSH5LKGc/training-agi-in-secret-would-be-unsafe-and-unethical-1
---
Narrated by TYPE III AUDIO.
…
continue reading
I’ve had this sitting in my drafts for the last year. I wish I’d been able to release it sooner, but on the bright side, it’ll make a lot more sense to people who have already read AI 2027.
- There's a good chance that AGI will be trained before this decade is out.
- By AGI I mean “An AI system at least as good as the best human X’ers, for all cognitive tasks/skills/jobs X.”
- Many people seem to be dismissing this hypothesis ‘on priors’ because it sounds crazy. But actually, a reasonable prior should conclude that this is plausible.[1]
- For more on what this means, what it might look like, and why it's plausible, see AI 2027, especially the Research section.
- If so, by default the existence of AGI will be a closely guarded [...]
---
First published:
April 18th, 2025
Source:
https://www.lesswrong.com/posts/FGqfdJmB8MSH5LKGc/training-agi-in-secret-would-be-unsafe-and-unethical-1
---
Narrated by TYPE III AUDIO.
519 פרקים
כל הפרקים
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1 “What We Learned from Briefing 70+ Lawmakers on the Threat from AI” by leticiagarcia 31:47
31:47 
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לייק 
אהבתי31:47
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיBetween late 2024 and mid-May 2025, I briefed over 70 cross-party UK parliamentarians. Just over one-third were MPs, a similar share were members of the House of Lords, and just under one-third came from devolved legislatures — the Scottish Parliament, the Senedd, and the Northern Ireland Assembly. I also held eight additional meetings attended exclusively by parliamentary staffers. While I delivered some briefings alone, most were led by two members of our team. I did this as part of my work as a Policy Advisor with ControlAI, where we aim to build common knowledge of AI risks through clear, honest, and direct engagement with parliamentarians about both the challenges and potential solutions. To succeed at scale in managing AI risk, it is important to continue to build this common knowledge. For this reason, I have decided to share what I have learned over the past few months publicly, in [...] --- Outline: (01:37) (i) Overall reception of our briefings (04:21) (ii) Outreach tips (05:45) (iii) Key talking points (14:20) (iv) Crafting a good pitch (19:23) (v) Some challenges (23:07) (vi) General tips (28:57) (vii) Books & media articles --- First published: May 27th, 2025 Source: https://www.lesswrong.com/posts/Xwrajm92fdjd7cqnN/what-we-learned-from-briefing-70-lawmakers-on-the-threat --- Narrated by TYPE III AUDIO .…
Have the Accelerationists won? Last November Kevin Roose announced that those in favor of going fast on AI had now won against those favoring caution, with the reinstatement of Sam Altman at OpenAI. Let's ignore whether Kevin's was a good description of the world, and deal with a more basic question: if it were so—i.e. if Team Acceleration would control the acceleration from here on out—what kind of win was it they won? It seems to me that they would have probably won in the same sense that your dog has won if she escapes onto the road. She won the power contest with you and is probably feeling good at this moment, but if she does actually like being alive, and just has different ideas about how safe the road is, or wasn’t focused on anything so abstract as that, then whether she ultimately wins or [...] --- First published: May 20th, 2025 Source: https://www.lesswrong.com/posts/h45ngW5guruD7tS4b/winning-the-power-to-lose --- Narrated by TYPE III AUDIO .…
This is a link post. Google Deepmind has announced Gemini Diffusion. Though buried under a host of other IO announcements it's possible that this is actually the most important one! This is significant because diffusion models are entirely different to LLMs. Instead of predicting the next token, they iteratively denoise all the output tokens until it produces a coherent result. This is similar to how image diffusion models work. I've tried they results and they are surprisingly good! It's incredibly fast, averaging nearly 1000 tokens a second. And it one shotted my Google interview question, giving a perfect response in 2 seconds (though it struggled a bit on the followups). It's nowhere near as good as Gemini 2.5 pro, but it knocks ChatGPT 3 out the water. If we'd seen this 3 years ago we'd have been mind blown. Now this is wild for two reasons: We now have [...] --- First published: May 20th, 2025 Source: https://www.lesswrong.com/posts/MZvtRqWnwokTub9sH/gemini-diffusion-watch-this-space Linkpost URL: https://deepmind.google/models/gemini-diffusion/ --- Narrated by TYPE III AUDIO .…
1 “AI Doomerism in 1879” by David Gross 13:05
13:05 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי13:05
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיI’m reading George Eliot's Impressions of Theophrastus Such (1879)—so far a snoozer compared to her novels. But chapter 17 surprised me for how well it anticipated modern AI doomerism. In summary, Theophrastus is in conversation with Trost, who is an optimist about the future of automation and how it will free us from drudgery and permit us to further extend the reach of the most exalted human capabilities. Theophrastus is more concerned that automation is likely to overtake, obsolete, and atrophy human ability. Among Theophrastus's concerns: People will find that they no longer can do labor that is valuable enough to compete with the machines. This will eventually include intellectual labor, as we develop for example “a machine for drawing the right conclusion, which will doubtless by-and-by be improved into an automaton for finding true premises.” Whereupon humanity will finally be transcended and superseded by its own creation [...] --- Outline: (02:05) Impressions of Theophrastus Such (02:09) Chapter XVII: Shadows of the Coming Race --- First published: May 13th, 2025 Source: https://www.lesswrong.com/posts/DFyoYHhbE8icgbTpe/ai-doomerism-in-1879 --- Narrated by TYPE III AUDIO .…
Epistemic status: thing people have told me that seems right. Also primarily relevant to US audiences. Also I am speaking in my personal capacity and not representing any employer, present or past. Sometimes, I talk to people who work in the AI governance space. One thing that multiple people have told me, which I found surprising, is that there is apparently a real problem where people accidentally rule themselves out of AI policy positions by making political donations of small amounts—in particular, under $10. My understanding is that in the United States, donations to political candidates are a matter of public record, and that if you donate to candidates of one party, this might look bad if you want to gain a government position when another party is in charge. Therefore, donating approximately $3 can significantly damage your career, while not helping your preferred candidate all that [...] --- First published: May 11th, 2025 Source: https://www.lesswrong.com/posts/tz43dmLAchxcqnDRA/consider-not-donating-under-usd100-to-political-candidates --- Narrated by TYPE III AUDIO .…
"If you kiss your child, or your wife, say that you only kiss things which are human, and thus you will not be disturbed if either of them dies." - Epictetus "Whatever suffering arises, all arises due to attachment; with the cessation of attachment, there is the cessation of suffering." - Pali canon "He is not disturbed by loss, he does not delight in gain; he is not disturbed by blame, he does not delight in praise; he is not disturbed by pain, he does not delight in pleasure; he is not disturbed by dishonor, he does not delight in honor." - Pali Canon (Majjhima Nikaya) "An arahant would feel physical pain if struck, but no mental pain. If his mother died, he would organize the funeral, but would feel no grief, no sense of loss." - the Dhammapada "Receive without pride, let go without attachment." - Marcus Aurelius [...] --- First published: May 10th, 2025 Source: https://www.lesswrong.com/posts/aGnRcBk4rYuZqENug/it-s-okay-to-feel-bad-for-a-bit --- Narrated by TYPE III AUDIO .…
The other day I discussed how high monitoring costs can explain the emergence of “aristocratic” systems of governance: Aristocracy and Hostage Capital Arjun Panickssery · Jan 8 There's a conventional narrative by which the pre-20th century aristocracy was the "old corruption" where civil and military positions were distributed inefficiently due to nepotism until the system was replaced by a professional civil service after more enlightened thinkers prevailed ... An element of Douglas Allen's argument that I didn’t expand on was the British Navy. He has a separate paper called “The British Navy Rules” that goes into more detail on why he thinks institutional incentives made them successful from 1670 and 1827 (i.e. for most of the age of fighting sail). In the Seven Years’ War (1756–1763) the British had a 7-to-1 casualty difference in single-ship actions. During the French Revolutionary and Napoleonic Wars (1793–1815) the British had a 5-to-1 [...] --- First published: March 28th, 2025 Source: https://www.lesswrong.com/posts/YE4XsvSFJiZkWFtFE/explaining-british-naval-dominance-during-the-age-of-sail --- 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.…
Eliezer and I wrote a book. It's titled If Anyone Builds It, Everyone Dies. Unlike a lot of other writing either of us have done, it's being professionally published. It's hitting shelves on September 16th. It's a concise (~60k word) book aimed at a broad audience. It's been well-received by people who received advance copies, with some endorsements including: The most important book I've read for years: I want to bring it to every political and corporate leader in the world and stand over them until they've read it. Yudkowsky and Soares, who have studied AI and its possible trajectories for decades, sound a loud trumpet call to humanity to awaken us as we sleepwalk into disaster. - Stephen Fry, actor, broadcaster, and writer If Anyone Builds It, Everyone Dies may prove to be the most important book of our time. Yudkowsky and Soares believe [...] The original text contained 1 footnote which was omitted from this narration. --- First published: May 14th, 2025 Source: https://www.lesswrong.com/posts/iNsy7MsbodCyNTwKs/eliezer-and-i-wrote-a-book-if-anyone-builds-it-everyone-dies --- Narrated by TYPE III AUDIO .…
It was a cold and cloudy San Francisco Sunday. My wife and I were having lunch with friends at a Korean cafe. My phone buzzed with a text. It said my mom was in the hospital. I called to find out more. She had a fever, some pain, and had fainted. The situation was serious, but stable. Monday was a normal day. No news was good news, right? Tuesday she had seizures. Wednesday she was in the ICU. I caught the first flight to Tampa. Thursday she rested comfortably. Friday she was diagnosed with bacterial meningitis, a rare condition that affects about 3,000 people in the US annually. The doctors had known it was a possibility, so she was already receiving treatment. We stayed by her side through the weekend. My dad spent every night with her. We made plans for all the fun things we would when she [...] --- First published: May 13th, 2025 Source: https://www.lesswrong.com/posts/reo79XwMKSZuBhKLv/too-soon --- 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.…
At the bottom of the LessWrong post editor, if you have at least 100 global karma, you may have noticed this button. The button Many people click the button, and are jumpscared when it starts an Intercom chat with a professional editor (me), asking what sort of feedback they'd like. So, that's what it does. It's a summon Justis button. Why summon Justis? To get feedback on your post, of just about any sort. Typo fixes, grammar checks, sanity checks, clarity checks, fit for LessWrong, the works. If you use the LessWrong editor (as opposed to the Markdown editor) I can leave comments and suggestions directly inline. I also provide detailed narrative feedback (unless you explicitly don't want this) in the Intercom chat itself. The feedback is totally without pressure. You can throw it all away, or just keep the bits you like. Or use it all! In any case [...] --- Outline: (00:35) Why summon Justis? (01:19) Why Justis in particular? (01:48) Am I doing it right? (01:59) How often can I request feedback? (02:22) Can I use the feature for linkposts/crossposts? (02:49) What if I click the button by mistake? (02:59) Should I credit you? (03:16) Couldnt I just use an LLM? (03:48) Why does Justis do this? --- First published: May 12th, 2025 Source: https://www.lesswrong.com/posts/bkDrfofLMKFoMGZkE/psa-the-lesswrong-feedback-service --- 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 months, I had the feeling: something is wrong. Some core part of myself had gone missing. I had words and ideas cached, which pointed back to the missing part. There was the story of Benjamin Jesty, a dairy farmer who vaccinated his family against smallpox in 1774 - 20 years before the vaccination technique was popularized, and the same year King Louis XV of France died of the disease. There was another old post which declared “I don’t care that much about giant yachts. I want a cure for aging. I want weekend trips to the moon. I want flying cars and an indestructible body and tiny genetically-engineered dragons.”. There was a cached instinct to look at certain kinds of social incentive gradient, toward managing more people or growing an organization or playing social-political games, and say “no, it's a trap”. To go… in a different direction, orthogonal [...] --- Outline: (01:19) In Search of a Name (04:23) Near Mode --- First published: May 8th, 2025 Source: https://www.lesswrong.com/posts/Wg6ptgi2DupFuAnXG/orienting-toward-wizard-power --- Narrated by TYPE III AUDIO .…
1 “Interpretability Will Not Reliably Find Deceptive AI” by Neel Nanda 13:15
13:15 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי13:15
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי(Disclaimer: Post written in a personal capacity. These are personal hot takes and do not in any way represent my employer's views.) TL;DR: I do not think we will produce high reliability methods to evaluate or monitor the safety of superintelligent systems via current research paradigms, with interpretability or otherwise. Interpretability seems a valuable tool here and remains worth investing in, as it will hopefully increase the reliability we can achieve. However, interpretability should be viewed as part of an overall portfolio of defences: a layer in a defence-in-depth strategy. It is not the one thing that will save us, and it still won’t be enough for high reliability. Introduction There's a common, often implicit, argument made in AI safety discussions: interpretability is presented as the only reliable path forward for detecting deception in advanced AI - among many other sources it was argued for in [...] --- Outline: (00:55) Introduction (02:57) High Reliability Seems Unattainable (05:12) Why Won't Interpretability be Reliable? (07:47) The Potential of Black-Box Methods (08:48) The Role of Interpretability (12:02) Conclusion The original text contained 5 footnotes which were omitted from this narration. --- First published: May 4th, 2025 Source: https://www.lesswrong.com/posts/PwnadG4BFjaER3MGf/interpretability-will-not-reliably-find-deceptive-ai --- Narrated by TYPE III AUDIO .…
1 “Slowdown After 2028: Compute, RLVR Uncertainty, MoE Data Wall” by Vladimir_Nesov 11:33
11:33 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי11:33
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיIt'll take until ~2050 to repeat the level of scaling that pretraining compute is experiencing this decade, as increasing funding can't sustain the current pace beyond ~2029 if AI doesn't deliver a transformative commercial success by then. Natural text data will also run out around that time, and there are signs that current methods of reasoning training might be mostly eliciting capabilities from the base model. If scaling of reasoning training doesn't bear out actual creation of new capabilities that are sufficiently general, and pretraining at ~2030 levels of compute together with the low hanging fruit of scaffolding doesn't bring AI to crucial capability thresholds, then it might take a while. Possibly decades, since training compute will be growing 3x-4x slower after 2027-2029 than it does now, and the ~6 years of scaling since the ChatGPT moment stretch to 20-25 subsequent years, not even having access to any [...] --- Outline: (01:14) Training Compute Slowdown (04:43) Bounded Potential of Thinking Training (07:43) Data Inefficiency of MoE The original text contained 4 footnotes which were omitted from this narration. --- First published: May 1st, 2025 Source: https://www.lesswrong.com/posts/XiMRyQcEyKCryST8T/slowdown-after-2028-compute-rlvr-uncertainty-moe-data-wall --- Narrated by TYPE III AUDIO .…
1 “Early Chinese Language Media Coverage of the AI 2027 Report: A Qualitative Analysis” by jeanne_, eeeee 27:35
27:35 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי27:35
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיIn this blog post, we analyse how the recent AI 2027 forecast by Daniel Kokotajlo, Scott Alexander, Thomas Larsen, Eli Lifland, and Romeo Dean has been discussed across Chinese language platforms. We present: Our research methodology and synthesis of key findings across media artefacts A proposal for how censorship patterns may provide signal for the Chinese government's thinking about AGI and the race to superintelligence A more detailed analysis of each of the nine artefacts, organised by type: Mainstream Media, Forum Discussion, Bilibili (Chinese Youtube) Videos, Personal Blogs. Methodology We conducted a comprehensive search across major Chinese-language platforms–including news outlets, video platforms, forums, microblogging sites, and personal blogs–to collect the media featured in this report. We supplemented this with Deep Research to identify additional sites mentioning AI 2027. Our analysis focuses primarily on content published in the first few days (4-7 April) following the report's release. More media [...] --- Outline: (00:58) Methodology (01:36) Summary (02:48) Censorship as Signal (07:29) Analysis (07:53) Mainstream Media (07:57) English Title: Doomsday Timeline is Here! Former OpenAI Researcher's 76-page Hardcore Simulation: ASI Takes Over the World in 2027, Humans Become NPCs (10:27) Forum Discussion (10:31) English Title: What do you think of former OpenAI researcher's AI 2027 predictions? (13:34) Bilibili Videos (13:38) English Title: \[AI 2027\] A mind-expanding wargame simulation of artificial intelligence competition by a former OpenAI researcher (15:24) English Title: Predicting AI Development in 2027 (17:13) Personal Blogs (17:16) English Title: Doomsday Timeline: AI 2027 Depicts the Arrival of Superintelligence and the Fate of Humanity Within the Decade (18:30) English Title: AI 2027: Expert Predictions on the Artificial Intelligence Explosion (21:57) English Title: AI 2027: A Science Fiction Article (23:16) English Title: Will AGI Take Over the World in 2027? (25:46) English Title: AI 2027 Prediction Report: AI May Fully Surpass Humans by 2027 (27:05) Acknowledgements --- First published: April 30th, 2025 Source: https://www.lesswrong.com/posts/JW7nttjTYmgWMqBaF/early-chinese-language-media-coverage-of-the-ai-2027-report --- Narrated by TYPE III AUDIO .…
This is a link post. to follow up my philantropic pledge from 2020, i've updated my philanthropy page with the 2024 results. in 2024 my donations funded $51M worth of endpoint grants (plus $2.0M in admin overhead and philanthropic software development). this comfortably exceeded my 2024 commitment of $42M (20k times $2100.00 — the minimum price of ETH in 2024). this also concludes my 5-year donation pledge, but of course my philanthropy continues: eg, i’ve already made over $4M in endpoint grants in the first quarter of 2025 (not including 2024 grants that were slow to disburse), as well as pledged at least $10M to the 2025 SFF grant round. --- First published: April 23rd, 2025 Source: https://www.lesswrong.com/posts/8ojWtREJjKmyvWdDb/jaan-tallinn-s-2024-philanthropy-overview Linkpost URL: https://jaan.info/philanthropy/#2024-results --- Narrated by TYPE III AUDIO .…
1 “Impact, agency, and taste” by benkuhn 15:17
15:17 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי15:17
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיI’ve been thinking recently about what sets apart the people who’ve done the best work at Anthropic. You might think that the main thing that makes people really effective at research or engineering is technical ability, and among the general population that's true. Among people hired at Anthropic, though, we’ve restricted the range by screening for extremely high-percentile technical ability, so the remaining differences, while they still matter, aren’t quite as critical. Instead, people's biggest bottleneck eventually becomes their ability to get leverage—i.e., to find and execute work that has a big impact-per-hour multiplier. For example, here are some types of work at Anthropic that tend to have high impact-per-hour, or a high impact-per-hour ceiling when done well (of course this list is extremely non-exhaustive!): Improving tooling, documentation, or dev loops. A tiny amount of time fixing a papercut in the right way can save [...] --- Outline: (03:28) 1. Agency (03:31) Understand and work backwards from the root goal (05:02) Don't rely too much on permission or encouragement (07:49) Make success inevitable (09:28) 2. Taste (09:31) Find your angle (11:03) Think real hard (13:03) Reflect on your thinking --- First published: April 19th, 2025 Source: https://www.lesswrong.com/posts/DiJT4qJivkjrGPFi8/impact-agency-and-taste --- Narrated by TYPE III AUDIO .…
1 [Linkpost] “To Understand History, Keep Former Population Distributions In Mind” by Arjun Panickssery 5:42
This is a link post. Guillaume Blanc has a piece in Works in Progress (I assume based on his paper) about how France's fertility declined earlier than in other European countries, and how its power waned as its relative population declined starting in the 18th century. In 1700, France had 20% of Europe's population (4% of the whole world population). Kissinger writes in Diplomacy with respect to the Versailles Peace Conference: Victory brought home to France the stark realization that revanche had cost it too dearly, and that it had been living off capital for nearly a century. France alone knew just how weak it had become in comparison with Germany, though nobody else, especially not America, was prepared to believe it ... Though France's allies insisted that its fears were exaggerated, French leaders knew better. In 1880, the French had represented 15.7 percent of Europe's population. By 1900, that [...] --- First published: April 23rd, 2025 Source: https://www.lesswrong.com/posts/gk2aJgg7yzzTXp8HJ/to-understand-history-keep-former-population-distributions Linkpost URL: https://arjunpanickssery.substack.com/p/to-understand-history-keep-former --- 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.…
1 “AI-enabled coups: a small group could use AI to seize power” by Tom Davidson, Lukas Finnveden, rosehadshar 15:22
15:22 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי15:22
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיWe’ve written a new report on the threat of AI-enabled coups. I think this is a very serious risk – comparable in importance to AI takeover but much more neglected. In fact, AI-enabled coups and AI takeover have pretty similar threat models. To see this, here's a very basic threat model for AI takeover: Humanity develops superhuman AI Superhuman AI is misaligned and power-seeking Superhuman AI seizes power for itself And now here's a closely analogous threat model for AI-enabled coups: Humanity develops superhuman AI Superhuman AI is controlled by a small group Superhuman AI seizes power for the small group While the report focuses on the risk that someone seizes power over a country, I think that similar dynamics could allow someone to take over the world. In fact, if someone wanted to take over the world, their best strategy might well be to first stage an AI-enabled [...] --- Outline: (02:39) Summary (03:31) An AI workforce could be made singularly loyal to institutional leaders (05:04) AI could have hard-to-detect secret loyalties (06:46) A few people could gain exclusive access to coup-enabling AI capabilities (09:46) Mitigations (13:00) Vignette The original text contained 2 footnotes which were omitted from this narration. --- First published: April 16th, 2025 Source: https://www.lesswrong.com/posts/6kBMqrK9bREuGsrnd/ai-enabled-coups-a-small-group-could-use-ai-to-seize-power-1 --- Narrated by TYPE III AUDIO . --- Images from the article:…
1 “Accountability Sinks” by Martin Sustrik 28:50
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הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיBack in the 1990s, ground squirrels were briefly fashionable pets, but their popularity came to an abrupt end after an incident at Schiphol Airport on the outskirts of Amsterdam. In April 1999, a cargo of 440 of the rodents arrived on a KLM flight from Beijing, without the necessary import papers. Because of this, they could not be forwarded on to the customer in Athens. But nobody was able to correct the error and send them back either. What could be done with them? It's hard to think there wasn’t a better solution than the one that was carried out; faced with the paperwork issue, airport staff threw all 440 squirrels into an industrial shredder. [...] It turned out that the order to destroy the squirrels had come from the Dutch government's Department of Agriculture, Environment Management and Fishing. However, KLM's management, with the benefit of hindsight, said that [...] --- First published: April 22nd, 2025 Source: https://www.lesswrong.com/posts/nYJaDnGNQGiaCBSB5/accountability-sinks --- 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.…
1 “Training AGI in Secret would be Unsafe and Unethical” by Daniel Kokotajlo 10:46
10:46 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי10:46
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיSubtitle: Bad for loss of control risks, bad for concentration of power risks I’ve had this sitting in my drafts for the last year. I wish I’d been able to release it sooner, but on the bright side, it’ll make a lot more sense to people who have already read AI 2027. There's a good chance that AGI will be trained before this decade is out. By AGI I mean “An AI system at least as good as the best human X’ers, for all cognitive tasks/skills/jobs X.” Many people seem to be dismissing this hypothesis ‘on priors’ because it sounds crazy. But actually, a reasonable prior should conclude that this is plausible.[1] For more on what this means, what it might look like, and why it's plausible, see AI 2027, especially the Research section. If so, by default the existence of AGI will be a closely guarded [...] The original text contained 8 footnotes which were omitted from this narration. --- First published: April 18th, 2025 Source: https://www.lesswrong.com/posts/FGqfdJmB8MSH5LKGc/training-agi-in-secret-would-be-unsafe-and-unethical-1 --- Narrated by TYPE III AUDIO .…
Though, given my doomerism, I think the natsec framing of the AGI race is likely wrongheaded, let me accept the Dario/Leopold/Altman frame that AGI will be aligned to the national interest of a great power. These people seem to take as an axiom that a USG AGI will be better in some way than CCP AGI. Has anyone written justification for this assumption? I am neither an American citizen nor a Chinese citizen. What would it mean for an AGI to be aligned with "Democracy" or "Confucianism" or "Marxism with Chinese characteristics" or "the American constitution" Contingent on a world where such an entity exists and is compatible with my existence, what would my life be as a non-citizen in each system? Why should I expect USG AGI to be better than CCP AGI? --- First published: April 19th, 2025 Source: https://www.lesswrong.com/posts/MKS4tJqLWmRXgXzgY/why-should-i-assume-ccp-agi-is-worse-than-usg-agi-1 --- Narrated by TYPE III AUDIO .…
1 “Surprising LLM reasoning failures make me think we still need qualitative breakthroughs for AGI” by Kaj_Sotala 35:51
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הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיIntroduction Writing this post puts me in a weird epistemic position. I simultaneously believe that: The reasoning failures that I'll discuss are strong evidence that current LLM- or, more generally, transformer-based approaches won't get us AGI As soon as major AI labs read about the specific reasoning failures described here, they might fix them But future versions of GPT, Claude etc. succeeding at the tasks I've described here will provide zero evidence of their ability to reach AGI. If someone makes a future post where they report that they tested an LLM on all the specific things I described here it aced all of them, that will not update my position at all. That is because all of the reasoning failures that I describe here are surprising in the sense that given everything else that they can do, you’d expect LLMs to succeed at all of these tasks. The [...] --- Outline: (00:13) Introduction (02:13) Reasoning failures (02:17) Sliding puzzle problem (07:17) Simple coaching instructions (09:22) Repeatedly failing at tic-tac-toe (10:48) Repeatedly offering an incorrect fix (13:48) Various people's simple tests (15:06) Various failures at logic and consistency while writing fiction (15:21) Inability to write young characters when first prompted (17:12) Paranormal posers (19:12) Global details replacing local ones (20:19) Stereotyped behaviors replacing character-specific ones (21:21) Top secret marine databases (23:32) Wandering items (23:53) Sycophancy (24:49) What's going on here? (32:18) How about scaling? Or reasoning models? --- First published: April 15th, 2025 Source: https://www.lesswrong.com/posts/sgpCuokhMb8JmkoSn/untitled-draft-7shu --- Narrated by TYPE III AUDIO . --- Images from the article:…
1 “Frontier AI Models Still Fail at Basic Physical Tasks: A Manufacturing Case Study” by Adam Karvonen 21:00
21:00 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי21:00
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיDario Amodei, CEO of Anthropic, recently worried about a world where only 30% of jobs become automated, leading to class tensions between the automated and non-automated. Instead, he predicts that nearly all jobs will be automated simultaneously, putting everyone "in the same boat." However, based on my experience spanning AI research (including first author papers at COLM / NeurIPS and attending MATS under Neel Nanda), robotics, and hands-on manufacturing (including machining prototype rocket engine parts for Blue Origin and Ursa Major), I see a different near-term future. Since the GPT-4 release, I've evaluated frontier models on a basic manufacturing task, which tests both visual perception and physical reasoning. While Gemini 2.5 Pro recently showed progress on the visual front, all models tested continue to fail significantly on physical reasoning. They still perform terribly overall. Because of this, I think that there will be an interim period where a significant [...] --- Outline: (01:28) The Evaluation (02:29) Visual Errors (04:03) Physical Reasoning Errors (06:09) Why do LLM's struggle with physical tasks? (07:37) Improving on physical tasks may be difficult (10:14) Potential Implications of Uneven Automation (11:48) Conclusion (12:24) Appendix (12:44) Visual Errors (14:36) Physical Reasoning Errors --- First published: April 14th, 2025 Source: https://www.lesswrong.com/posts/r3NeiHAEWyToers4F/frontier-ai-models-still-fail-at-basic-physical-tasks-a --- 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.…
1 “Negative Results for SAEs On Downstream Tasks and Deprioritising SAE Research (GDM Mech Interp Team Progress Update #2)” by Neel Nanda, lewis smith, Senthooran Rajamanoharan, Arthur Conmy, Callum… 57:32
57:32 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי57:32
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיAudio note: this article contains 31 uses of latex notation, so the narration may be difficult to follow. There's a link to the original text in the episode description. Lewis Smith*, Sen Rajamanoharan*, Arthur Conmy, Callum McDougall, Janos Kramar, Tom Lieberum, Rohin Shah, Neel Nanda * = equal contribution The following piece is a list of snippets about research from the GDM mechanistic interpretability team, which we didn’t consider a good fit for turning into a paper, but which we thought the community might benefit from seeing in this less formal form. These are largely things that we found in the process of a project investigating whether sparse autoencoders were useful for downstream tasks, notably out-of-distribution probing. TL;DR To validate whether SAEs were a worthwhile technique, we explored whether they were useful on the downstream task of OOD generalisation when detecting harmful intent in user prompts [...] --- Outline: (01:08) TL;DR (02:38) Introduction (02:41) Motivation (06:09) Our Task (08:35) Conclusions and Strategic Updates (13:59) Comparing different ways to train Chat SAEs (18:30) Using SAEs for OOD Probing (20:21) Technical Setup (20:24) Datasets (24:16) Probing (26:48) Results (30:36) Related Work and Discussion (34:01) Is it surprising that SAEs didn't work? (39:54) Dataset debugging with SAEs (42:02) Autointerp and high frequency latents (44:16) Removing High Frequency Latents from JumpReLU SAEs (45:04) Method (45:07) Motivation (47:29) Modifying the sparsity penalty (48:48) How we evaluated interpretability (50:36) Results (51:18) Reconstruction loss at fixed sparsity (52:10) Frequency histograms (52:52) Latent interpretability (54:23) Conclusions (56:43) Appendix The original text contained 7 footnotes which were omitted from this narration. --- First published: March 26th, 2025 Source: https://www.lesswrong.com/posts/4uXCAJNuPKtKBsi28/sae-progress-update-2-draft --- Narrated by TYPE III AUDIO . --- Images from the article:…
This is a link post. When I was a really small kid, one of my favorite activities was to try and dam up the creek in my backyard. I would carefully move rocks into high walls, pile up leaves, or try patching the holes with sand. The goal was just to see how high I could get the lake, knowing that if I plugged every hole, eventually the water would always rise and defeat my efforts. Beaver behaviour. One day, I had the realization that there was a simpler approach. I could just go get a big 5 foot long shovel, and instead of intricately locking together rocks and leaves and sticks, I could collapse the sides of the riverbank down and really build a proper big dam. I went to ask my dad for the shovel to try this out, and he told me, very heavily paraphrasing, 'Congratulations. You've [...] --- First published: April 10th, 2025 Source: https://www.lesswrong.com/posts/rLucLvwKoLdHSBTAn/playing-in-the-creek Linkpost URL: https://hgreer.com/PlayingInTheCreek --- Narrated by TYPE III AUDIO .…
1 “Thoughts on AI 2027” by Max Harms 40:27
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הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיThis is part of the MIRI Single Author Series. Pieces in this series represent the beliefs and opinions of their named authors, and do not claim to speak for all of MIRI. Okay, I'm annoyed at people covering AI 2027 burying the lede, so I'm going to try not to do that. The authors predict a strong chance that all humans will be (effectively) dead in 6 years, and this agrees with my best guess about the future. (My modal timeline has loss of control of Earth mostly happening in 2028, rather than late 2027, but nitpicking at that scale hardly matters.) Their timeline to transformative AI also seems pretty close to the perspective of frontier lab CEO's (at least Dario Amodei, and probably Sam Altman) and the aggregate market opinion of both Metaculus and Manifold! If you look on those market platforms you get graphs like this: Both [...] --- Outline: (02:23) Mode ≠ Median (04:50) Theres a Decent Chance of Having Decades (06:44) More Thoughts (08:55) Mid 2025 (09:01) Late 2025 (10:42) Early 2026 (11:18) Mid 2026 (12:58) Late 2026 (13:04) January 2027 (13:26) February 2027 (14:53) March 2027 (16:32) April 2027 (16:50) May 2027 (18:41) June 2027 (19:03) July 2027 (20:27) August 2027 (22:45) September 2027 (24:37) October 2027 (26:14) November 2027 (Race) (29:08) December 2027 (Race) (30:53) 2028 and Beyond (Race) (34:42) Thoughts on Slowdown (38:27) Final Thoughts --- First published: April 9th, 2025 Source: https://www.lesswrong.com/posts/Yzcb5mQ7iq4DFfXHx/thoughts-on-ai-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.…
Short AI takeoff timelines seem to leave no time for some lines of alignment research to become impactful. But any research rebalances the mix of currently legible research directions that could be handed off to AI-assisted alignment researchers or early autonomous AI researchers whenever they show up. So even hopelessly incomplete research agendas could still be used to prompt future capable AI to focus on them, while in the absence of such incomplete research agendas we'd need to rely on AI's judgment more completely. This doesn't crucially depend on giving significant probability to long AI takeoff timelines, or on expected value in such scenarios driving the priorities. Potential for AI to take up the torch makes it reasonable to still prioritize things that have no hope at all of becoming practical for decades (with human effort). How well AIs can be directed to advance a line of research [...] --- First published: April 9th, 2025 Source: https://www.lesswrong.com/posts/3NdpbA6M5AM2gHvTW/short-timelines-don-t-devalue-long-horizon-research --- Narrated by TYPE III AUDIO .…
1 “Alignment Faking Revisited: Improved Classifiers and Open Source Extensions” by John Hughes, abhayesian, Akbir Khan, Fabien Roger 41:04
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הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיIn this post, we present a replication and extension of an alignment faking model organism: Replication: We replicate the alignment faking (AF) paper and release our code. Classifier Improvements: We significantly improve the precision and recall of the AF classifier. We release a dataset of ~100 human-labelled examples of AF for which our classifier achieves an AUROC of 0.9 compared to 0.6 from the original classifier. Evaluating More Models: We find Llama family models, other open source models, and GPT-4o do not AF in the prompted-only setting when evaluating using our new classifier (other than a single instance with Llama 3 405B). Extending SFT Experiments: We run supervised fine-tuning (SFT) experiments on Llama (and GPT4o) and find that AF rate increases with scale. We release the fine-tuned models on Huggingface and scripts. Alignment faking on 70B: We find that Llama 70B alignment fakes when both using the system prompt in the [...] --- Outline: (02:43) Method (02:46) Overview of the Alignment Faking Setup (04:22) Our Setup (06:02) Results (06:05) Improving Alignment Faking Classification (10:56) Replication of Prompted Experiments (14:02) Prompted Experiments on More Models (16:35) Extending Supervised Fine-Tuning Experiments to Open-Source Models and GPT-4o (23:13) Next Steps (25:02) Appendix (25:05) Appendix A: Classifying alignment faking (25:17) Criteria in more depth (27:40) False positives example 1 from the old classifier (30:11) False positives example 2 from the old classifier (32:06) False negative example 1 from the old classifier (35:00) False negative example 2 from the old classifier (36:56) Appendix B: Classifier ROC on other models (37:24) Appendix C: User prompt suffix ablation (40:24) Appendix D: Longer training of baseline docs --- First published: April 8th, 2025 Source: https://www.lesswrong.com/posts/Fr4QsQT52RFKHvCAH/alignment-faking-revisited-improved-classifiers-and-open --- Narrated by TYPE III AUDIO . --- Images from the article:…
1 “METR: Measuring AI Ability to Complete Long Tasks” by Zach Stein-Perlman 11:09
11:09 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי11:09
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיSummary: We propose measuring AI performance in terms of the length of tasks AI agents can complete. We show that this metric has been consistently exponentially increasing over the past 6 years, with a doubling time of around 7 months. Extrapolating this trend predicts that, in under five years, we will see AI agents that can independently complete a large fraction of software tasks that currently take humans days or weeks. The length of tasks (measured by how long they take human professionals) that generalist frontier model agents can complete autonomously with 50% reliability has been doubling approximately every 7 months for the last 6 years. The shaded region represents 95% CI calculated by hierarchical bootstrap over task families, tasks, and task attempts. Full paper | Github repo We think that forecasting the capabilities of future AI systems is important for understanding and preparing for the impact of [...] --- Outline: (08:58) Conclusion (09:59) Want to contribute? --- First published: March 19th, 2025 Source: https://www.lesswrong.com/posts/deesrjitvXM4xYGZd/metr-measuring-ai-ability-to-complete-long-tasks --- Narrated by TYPE III AUDIO . --- Images from the article:…
“In the loveliest town of all, where the houses were white and high and the elms trees were green and higher than the houses, where the front yards were wide and pleasant and the back yards were bushy and worth finding out about, where the streets sloped down to the stream and the stream flowed quietly under the bridge, where the lawns ended in orchards and the orchards ended in fields and the fields ended in pastures and the pastures climbed the hill and disappeared over the top toward the wonderful wide sky, in this loveliest of all towns Stuart stopped to get a drink of sarsaparilla.” — 107-word sentence from Stuart Little (1945) Sentence lengths have declined. The average sentence length was 49 for Chaucer (died 1400), 50 for Spenser (died 1599), 42 for Austen (died 1817), 20 for Dickens (died 1870), 21 for Emerson (died 1882), 14 [...] --- First published: April 3rd, 2025 Source: https://www.lesswrong.com/posts/xYn3CKir4bTMzY5eb/why-have-sentence-lengths-decreased --- 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.…
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1 “AI 2027: What Superintelligence Looks Like” by Daniel Kokotajlo, Thomas Larsen, elifland, Scott Alexander, Jonas V, romeo 54:30
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הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיIn 2021 I wrote what became my most popular blog post: What 2026 Looks Like. I intended to keep writing predictions all the way to AGI and beyond, but chickened out and just published up till 2026. Well, it's finally time. I'm back, and this time I have a team with me: the AI Futures Project. We've written a concrete scenario of what we think the future of AI will look like. We are highly uncertain, of course, but we hope this story will rhyme with reality enough to help us all prepare for what's ahead. You really should go read it on the website instead of here, it's much better. There's a sliding dashboard that updates the stats as you scroll through the scenario! But I've nevertheless copied the first half of the story below. I look forward to reading your comments. Mid 2025: Stumbling Agents The [...] --- Outline: (01:35) Mid 2025: Stumbling Agents (03:13) Late 2025: The World's Most Expensive AI (08:34) Early 2026: Coding Automation (10:49) Mid 2026: China Wakes Up (13:48) Late 2026: AI Takes Some Jobs (15:35) January 2027: Agent-2 Never Finishes Learning (18:20) February 2027: China Steals Agent-2 (21:12) March 2027: Algorithmic Breakthroughs (23:58) April 2027: Alignment for Agent-3 (27:26) May 2027: National Security (29:50) June 2027: Self-improving AI (31:36) July 2027: The Cheap Remote Worker (34:35) August 2027: The Geopolitics of Superintelligence (40:43) September 2027: Agent-4, the Superhuman AI Researcher --- First published: April 3rd, 2025 Source: https://www.lesswrong.com/posts/TpSFoqoG2M5MAAesg/ai-2027-what-superintelligence-looks-like-1 --- Narrated by TYPE III AUDIO . --- Images from the article:…
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1 “OpenAI #12: Battle of the Board Redux” by Zvi 18:01
18:01 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי18:01
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיBack when the OpenAI board attempted and failed to fire Sam Altman, we faced a highly hostile information environment. The battle was fought largely through control of the public narrative, and the above was my attempt to put together what happened.My conclusion, which I still believe, was that Sam Altman had engaged in a variety of unacceptable conduct that merited his firing.In particular, he very much ‘not been consistently candid’ with the board on several important occasions. In particular, he lied to board members about what was said by other board members, with the goal of forcing out a board member he disliked. There were also other instances in which he misled and was otherwise toxic to employees, and he played fast and loose with the investment fund and other outside opportunities. I concluded that the story that this was about ‘AI safety’ or ‘EA (effective altruism)’ or [...] --- Outline: (01:32) The Big Picture Going Forward (06:27) Hagey Verifies Out the Story (08:50) Key Facts From the Story (11:57) Dangers of False Narratives (16:24) A Full Reference and Reading List --- First published: March 31st, 2025 Source: https://www.lesswrong.com/posts/25EgRNWcY6PM3fWZh/openai-12-battle-of-the-board-redux --- 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.…
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1 “The Pando Problem: Rethinking AI Individuality” by Jan_Kulveit 27:39
27:39 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי27:39
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיEpistemic status: This post aims at an ambitious target: improving intuitive understanding directly. The model for why this is worth trying is that I believe we are more bottlenecked by people having good intuitions guiding their research than, for example, by the ability of people to code and run evals. Quite a few ideas in AI safety implicitly use assumptions about individuality that ultimately derive from human experience. When we talk about AIs scheming, alignment faking or goal preservation, we imply there is something scheming or alignment faking or wanting to preserve its goals or escape the datacentre. If the system in question were human, it would be quite clear what that individual system is. When you read about Reinhold Messner reaching the summit of Everest, you would be curious about the climb, but you would not ask if it was his body there, or his [...] --- Outline: (01:38) Individuality in Biology (03:53) Individuality in AI Systems (10:19) Risks and Limitations of Anthropomorphic Individuality Assumptions (11:25) Coordinating Selves (16:19) Whats at Stake: Stories (17:25) Exporting Myself (21:43) The Alignment Whisperers (23:27) Echoes in the Dataset (25:18) Implications for Alignment Research and Policy --- First published: March 28th, 2025 Source: https://www.lesswrong.com/posts/wQKskToGofs4osdJ3/the-pando-problem-rethinking-ai-individuality --- 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.…
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1 “OpenAI #12: Battle of the Board Redux” by Zvi 18:01
18:01 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי18:01
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיBack when the OpenAI board attempted and failed to fire Sam Altman, we faced a highly hostile information environment. The battle was fought largely through control of the public narrative, and the above was my attempt to put together what happened.My conclusion, which I still believe, was that Sam Altman had engaged in a variety of unacceptable conduct that merited his firing.In particular, he very much ‘not been consistently candid’ with the board on several important occasions. In particular, he lied to board members about what was said by other board members, with the goal of forcing out a board member he disliked. There were also other instances in which he misled and was otherwise toxic to employees, and he played fast and loose with the investment fund and other outside opportunities. I concluded that the story that this was about ‘AI safety’ or ‘EA (effective altruism)’ or [...] --- Outline: (01:32) The Big Picture Going Forward (06:27) Hagey Verifies Out the Story (08:50) Key Facts From the Story (11:57) Dangers of False Narratives (16:24) A Full Reference and Reading List --- First published: March 31st, 2025 Source: https://www.lesswrong.com/posts/25EgRNWcY6PM3fWZh/openai-12-battle-of-the-board-redux --- 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.…
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I'm not writing this to alarm anyone, but it would be irresponsible not to report on something this important. On current trends, every car will be crashed in front of my house within the next week. Here's the data: Until today, only two cars had crashed in front of my house, several months apart, during the 15 months I have lived here. But a few hours ago it happened again, mere weeks from the previous crash. This graph may look harmless enough, but now consider the frequency of crashes this implies over time: The car crash singularity will occur in the early morning hours of Monday, April 7. As crash frequency approaches infinity, every car will be involved. You might be thinking that the same car could be involved in multiple crashes. This is true! But the same car can only withstand a finite number of crashes before it [...] --- First published: April 1st, 2025 Source: https://www.lesswrong.com/posts/FjPWbLdoP4PLDivYT/you-will-crash-your-car-in-front-of-my-house-within-the-next --- 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.…
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1 “My ‘infohazards small working group’ Signal Chat may have encountered minor leaks” by Linch 10:33
10:33 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי10:33
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיRemember: There is no such thing as a pink elephant. Recently, I was made aware that my “infohazards small working group” Signal chat, an informal coordination venue where we have frank discussions about infohazards and why it will be bad if specific hazards were leaked to the press or public, accidentally was shared with a deceitful and discredited so-called “journalist,” Kelsey Piper. She is not the first person to have been accidentally sent sensitive material from our group chat, however she is the first to have threatened to go public about the leak. Needless to say, mistakes were made. We’re still trying to figure out the source of this compromise to our secure chat group, however we thought we should give the public a live update to get ahead of the story. For some context the “infohazards small working group” is a casual discussion venue for the [...] --- Outline: (04:46) Top 10 PR Issues With the EA Movement (major) (05:34) Accidental Filtration of Simple Sabotage Manual for Rebellious AIs (medium) (08:25) Hidden Capabilities Evals Leaked In Advance to Bioterrorism Researchers and Leaders (minor) (09:34) Conclusion --- First published: April 2nd, 2025 Source: https://www.lesswrong.com/posts/xPEfrtK2jfQdbpq97/my-infohazards-small-working-group-signal-chat-may-have --- 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.…
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1 “Leverage, Exit Costs, and Anger: Re-examining Why We Explode at Home, Not at Work” by at_the_zoo 6:16
Let's cut through the comforting narratives and examine a common behavioral pattern with a sharper lens: the stark difference between how anger is managed in professional settings versus domestic ones. Many individuals can navigate challenging workplace interactions with remarkable restraint, only to unleash significant anger or frustration at home shortly after. Why does this disparity exist? Common psychological explanations trot out concepts like "stress spillover," "ego depletion," or the home being a "safe space" for authentic emotions. While these factors might play a role, they feel like half-truths—neatly packaged but ultimately failing to explain the targeted nature and intensity of anger displayed at home. This analysis proposes a more unsentimental approach, rooted in evolutionary biology, game theory, and behavioral science: leverage and exit costs. The real question isn’t just why we explode at home—it's why we so carefully avoid doing so elsewhere. The Logic of Restraint: Low Leverage in [...] --- Outline: (01:14) The Logic of Restraint: Low Leverage in Low-Exit-Cost Environments (01:58) The Home Environment: High Stakes and High Exit Costs (02:41) Re-evaluating Common Explanations Through the Lens of Leverage (04:42) The Overlooked Mechanism: Leveraging Relational Constraints --- First published: April 1st, 2025 Source: https://www.lesswrong.com/posts/G6PTtsfBpnehqdEgp/leverage-exit-costs-and-anger-re-examining-why-we-explode-at --- Narrated by TYPE III AUDIO .…
In the debate over AI development, two movements stand as opposites: PauseAI calls for slowing down AI progress, and e/acc (effective accelerationism) calls for rapid advancement. But what if both sides are working against their own stated interests? What if the most rational strategy for each would be to adopt the other's tactics—if not their ultimate goals? AI development speed ultimately comes down to policy decisions, which are themselves downstream of public opinion. No matter how compelling technical arguments might be on either side, widespread sentiment will determine what regulations are politically viable. Public opinion is most powerfully mobilized against technologies following visible disasters. Consider nuclear power: despite being statistically safer than fossil fuels, its development has been stagnant for decades. Why? Not because of environmental activists, but because of Chernobyl, Three Mile Island, and Fukushima. These disasters produce visceral public reactions that statistics cannot overcome. Just as people [...] --- First published: April 1st, 2025 Source: https://www.lesswrong.com/posts/fZebqiuZcDfLCgizz/pauseai-and-e-acc-should-switch-sides --- Narrated by TYPE III AUDIO .…
Introduction Decision theory is about how to behave rationally under conditions of uncertainty, especially if this uncertainty involves being acausally blackmailed and/or gaslit by alien superintelligent basilisks. Decision theory has found numerous practical applications, including proving the existence of God and generating endless LessWrong comments since the beginning of time. However, despite the apparent simplicity of "just choose the best action", no comprehensive decision theory that resolves all decision theory dilemmas has yet been formalized. This paper at long last resolves this dilemma, by introducing a new decision theory: VDT. Decision theory problems and existing theories Some common existing decision theories are: Causal Decision Theory (CDT): select the action that *causes* the best outcome. Evidential Decision Theory (EDT): select the action that you would be happiest to learn that you had taken. Functional Decision Theory (FDT): select the action output by the function such that if you take [...] --- Outline: (00:53) Decision theory problems and existing theories (05:37) Defining VDT (06:34) Experimental results (07:48) Conclusion --- First published: April 1st, 2025 Source: https://www.lesswrong.com/posts/LcjuHNxubQqCry9tT/vdt-a-solution-to-decision-theory --- 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.…
Dear LessWrong community, It is with a sense of... considerable cognitive dissonance that I announce a significant development regarding the future trajectory of LessWrong. After extensive internal deliberation, modeling of potential futures, projections of financial runways, and what I can only describe as a series of profoundly unexpected coordination challenges, the Lightcone Infrastructure team has agreed in principle to the acquisition of LessWrong by EA. I assure you, nothing about how LessWrong operates on a day to day level will change. I have always cared deeply about the robustness and integrity of our institutions, and I am fully aligned with our stakeholders at EA. To be honest, the key thing that EA brings to the table is money and talent. While the recent layoffs in EAs broader industry have been harsh, I have full trust in the leadership of Electronic Arts, and expect them to bring great expertise [...] --- First published: April 1st, 2025 Source: https://www.lesswrong.com/posts/2NGKYt3xdQHwyfGbc/lesswrong-has-been-acquired-by-ea --- Narrated by TYPE III AUDIO .…
Our community is not prepared for an AI crash. We're good at tracking new capability developments, but not as much the company financials. Currently, both OpenAI and Anthropic are losing $5 billion+ a year, while under threat of losing users to cheap LLMs. A crash will weaken the labs. Funding-deprived and distracted, execs struggle to counter coordinated efforts to restrict their reckless actions. Journalists turn on tech darlings. Optimism makes way for mass outrage, for all the wasted money and reckless harms. You may not think a crash is likely. But if it happens, we can turn the tide. Preparing for a crash is our best bet.[1] But our community is poorly positioned to respond. Core people positioned themselves inside institutions – to advise on how to maybe make AI 'safe', under the assumption that models rapidly become generally useful. After a crash, this no longer works, for at [...] --- First published: April 1st, 2025 Source: https://www.lesswrong.com/posts/aMYFHnCkY4nKDEqfK/we-re-not-prepared-for-an-ai-market-crash --- Narrated by TYPE III AUDIO .…
Epistemic status: Reasonably confident in the basic mechanism. Have you noticed that you keep encountering the same ideas over and over? You read another post, and someone helpfully points out it's just old Paul's idea again. Or Eliezer's idea. Not much progress here, move along. Or perhaps you've been on the other side: excitedly telling a friend about some fascinating new insight, only to hear back, "Ah, that's just another version of X." And something feels not quite right about that response, but you can't quite put your finger on it. I want to propose that while ideas are sometimes genuinely that repetitive, there's often a sneakier mechanism at play. I call it Conceptual Rounding Errors – when our mind's necessary compression goes a bit too far . Too much compression A Conceptual Rounding Error occurs when we encounter a new mental model or idea that's partially—but not fully—overlapping [...] --- Outline: (01:00) Too much compression (01:24) No, This Isnt The Old Demons Story Again (02:52) The Compression Trade-off (03:37) More of this (04:15) What Can We Do? (05:28) When It Matters --- First published: March 26th, 2025 Source: https://www.lesswrong.com/posts/FGHKwEGKCfDzcxZuj/conceptual-rounding-errors --- Narrated by TYPE III AUDIO .…
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LessWrong (Curated & Popular)
1 “Tracing the Thoughts of a Large Language Model” by Adam Jermyn 22:18
22:18 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי22:18
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי[This is our blog post on the papers, which can be found at https://transformer-circuits.pub/2025/attribution-graphs/biology.html and https://transformer-circuits.pub/2025/attribution-graphs/methods.html.] Language models like Claude aren't programmed directly by humans—instead, they‘re trained on large amounts of data. During that training process, they learn their own strategies to solve problems. These strategies are encoded in the billions of computations a model performs for every word it writes. They arrive inscrutable to us, the model's developers. This means that we don’t understand how models do most of the things they do. Knowing how models like Claude think would allow us to have a better understanding of their abilities, as well as help us ensure that they’re doing what we intend them to. For example: Claude can speak dozens of languages. What language, if any, is it using "in its head"? Claude writes text one word at a time. Is it only focusing on predicting the [...] --- Outline: (06:02) How is Claude multilingual? (07:43) Does Claude plan its rhymes? (09:58) Mental Math (12:04) Are Claude's explanations always faithful? (15:27) Multi-step Reasoning (17:09) Hallucinations (19:36) Jailbreaks --- First published: March 27th, 2025 Source: https://www.lesswrong.com/posts/zsr4rWRASxwmgXfmq/tracing-the-thoughts-of-a-large-language-model --- Narrated by TYPE III AUDIO . --- Images from the article:…
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1 “Recent AI model progress feels mostly like bullshit” by lc 14:29
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הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיAbout nine months ago, I and three friends decided that AI had gotten good enough to monitor large codebases autonomously for security problems. We started a company around this, trying to leverage the latest AI models to create a tool that could replace at least a good chunk of the value of human pentesters. We have been working on this project since since June 2024. Within the first three months of our company's existence, Claude 3.5 sonnet was released. Just by switching the portions of our service that ran on gpt-4o, our nascent internal benchmark results immediately started to get saturated. I remember being surprised at the time that our tooling not only seemed to make fewer basic mistakes, but also seemed to qualitatively improve in its written vulnerability descriptions and severity estimates. It was as if the models were better at inferring the intent and values behind our [...] --- Outline: (04:44) Are the AI labs just cheating? (07:22) Are the benchmarks not tracking usefulness? (10:28) Are the models smart, but bottlenecked on alignment? --- First published: March 24th, 2025 Source: https://www.lesswrong.com/posts/4mvphwx5pdsZLMmpY/recent-ai-model-progress-feels-mostly-like-bullshit --- 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.…
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1 “AI for AI safety” by Joe Carlsmith 34:07
34:07 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי34:07
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי(Audio version here (read by the author), or search for "Joe Carlsmith Audio" on your podcast app. This is the fourth essay in a series that I’m calling “How do we solve the alignment problem?”. I’m hoping that the individual essays can be read fairly well on their own, but see this introduction for a summary of the essays that have been released thus far, and for a bit more about the series as a whole.) 1. Introduction and summary In my last essay, I offered a high-level framework for thinking about the path from here to safe superintelligence. This framework emphasized the role of three key “security factors” – namely: Safety progress: our ability to develop new levels of AI capability safely, Risk evaluation: our ability to track and forecast the level of risk that a given sort of AI capability development involves, and Capability restraint [...] --- Outline: (00:27) 1. Introduction and summary (03:50) 2. What is AI for AI safety? (11:50) 2.1 A tale of two feedback loops (13:58) 2.2 Contrast with need human-labor-driven radical alignment progress views (16:05) 2.3 Contrast with a few other ideas in the literature (18:32) 3. Why is AI for AI safety so important? (21:56) 4. The AI for AI safety sweet spot (26:09) 4.1 The AI for AI safety spicy zone (28:07) 4.2 Can we benefit from a sweet spot? (29:56) 5. Objections to AI for AI safety (30:14) 5.1 Three core objections to AI for AI safety (32:00) 5.2 Other practical concerns The original text contained 39 footnotes which were omitted from this narration. --- First published: March 14th, 2025 Source: https://www.lesswrong.com/posts/F3j4xqpxjxgQD3xXh/ai-for-ai-safety --- Narrated by TYPE III AUDIO . --- Images from the article:…
LessWrong has been receiving an increasing number of posts and contents that look like they might be LLM-written or partially-LLM-written, so we're adopting a policy. This could be changed based on feedback. Humans Using AI as Writing or Research Assistants Prompting a language model to write an essay and copy-pasting the result will not typically meet LessWrong's standards. Please do not submit unedited or lightly-edited LLM content. You can use AI as a writing or research assistant when writing content for LessWrong, but you must have added significant value beyond what the AI produced, the result must meet a high quality standard, and you must vouch for everything in the result. A rough guideline is that if you are using AI for writing assistance, you should spend a minimum of 1 minute per 50 words (enough to read the content several times and perform significant edits), you should not [...] --- Outline: (00:22) Humans Using AI as Writing or Research Assistants (01:13) You Can Put AI Writing in Collapsible Sections (02:13) Quoting AI Output In Order to Talk About AI (02:47) Posts by AI Agents --- First published: March 24th, 2025 Source: https://www.lesswrong.com/posts/KXujJjnmP85u8eM6B/policy-for-llm-writing-on-lesswrong --- 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.…
Thanks to Jesse Richardson for discussion. Polymarket asks: will Jesus Christ return in 2025? In the three days since the market opened, traders have wagered over $100,000 on this question. The market traded as high as 5%, and is now stably trading at 3%. Right now, if you wanted to, you could place a bet that Jesus Christ will not return this year, and earn over $13,000 if you're right. There are two mysteries here: an easy one, and a harder one. The easy mystery is: if people are willing to bet $13,000 on "Yes", why isn't anyone taking them up? The answer is that, if you wanted to do that, you'd have to put down over $1 million of your own money, locking it up inside Polymarket through the end of the year. At the end of that year, you'd get 1% returns on your investment. [...] --- First published: March 24th, 2025 Source: https://www.lesswrong.com/posts/LBC2TnHK8cZAimdWF/will-jesus-christ-return-in-an-election-year --- 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.…
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TL;DR Having a good research track record is some evidence of good big-picture takes, but it's weak evidence. Strategic thinking is hard, and requires different skills. But people often conflate these skills, leading to excessive deference to researchers in the field, without evidence that that person is good at strategic thinking specifically. Introduction I often find myself giving talks or Q&As about mechanistic interpretability research. But inevitably, I'll get questions about the big picture: "What's the theory of change for interpretability?", "Is this really going to help with alignment?", "Does any of this matter if we can’t ensure all labs take alignment seriously?". And I think people take my answers to these way too seriously. These are great questions, and I'm happy to try answering them. But I've noticed a bit of a pathology: people seem to assume that because I'm (hopefully!) good at the research, I'm automatically well-qualified [...] --- Outline: (00:32) Introduction (02:45) Factors of Good Strategic Takes (05:41) Conclusion --- First published: March 22nd, 2025 Source: https://www.lesswrong.com/posts/P5zWiPF5cPJZSkiAK/good-research-takes-are-not-sufficient-for-good-strategic --- Narrated by TYPE III AUDIO .…
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LessWrong (Curated & Popular)
When my son was three, we enrolled him in a study of a vision condition that runs in my family. They wanted us to put an eyepatch on him for part of each day, with a little sensor object that went under the patch and detected body heat to record when we were doing it. They paid for his first pair of glasses and all the eye doctor visits to check up on how he was coming along, plus every time we brought him in we got fifty bucks in Amazon gift credit. I reiterate, he was three. (To begin with. His fourth birthday occurred while the study was still ongoing.) So he managed to lose or destroy more than half a dozen pairs of glasses and we had to start buying them in batches to minimize glasses-less time while waiting for each new Zenni delivery. (The [...] --- First published: March 20th, 2025 Source: https://www.lesswrong.com/posts/yRJ5hdsm5FQcZosCh/intention-to-treat --- Narrated by TYPE III AUDIO .…
I’m releasing a new paper “Superintelligence Strategy” alongside Eric Schmidt (formerly Google), and Alexandr Wang (Scale AI). Below is the executive summary, followed by additional commentary highlighting portions of the paper which might be relevant to this collection of readers. Executive Summary Rapid advances in AI are poised to reshape nearly every aspect of society. Governments see in these dual-use AI systems a means to military dominance, stoking a bitter race to maximize AI capabilities. Voluntary industry pauses or attempts to exclude government involvement cannot change this reality. These systems that can streamline research and bolster economic output can also be turned to destructive ends, enabling rogue actors to engineer bioweapons and hack critical infrastructure. “Superintelligent” AI surpassing humans in nearly every domain would amount to the most precarious technological development since the nuclear bomb. Given the stakes, superintelligence is inescapably a matter of national security, and an effective [...] --- Outline: (00:21) Executive Summary (01:14) Deterrence (02:32) Nonproliferation (03:38) Competitiveness (04:50) Additional Commentary --- First published: March 5th, 2025 Source: https://www.lesswrong.com/posts/XsYQyBgm8eKjd3Sqw/on-the-rationality-of-deterring-asi --- Narrated by TYPE III AUDIO .…
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This is a link post. Summary: We propose measuring AI performance in terms of the length of tasks AI agents can complete. We show that this metric has been consistently exponentially increasing over the past 6 years, with a doubling time of around 7 months. Extrapolating this trend predicts that, in under a decade, we will see AI agents that can independently complete a large fraction of software tasks that currently take humans days or weeks. Full paper | Github repo --- First published: March 19th, 2025 Source: https://www.lesswrong.com/posts/deesrjitvXM4xYGZd/metr-measuring-ai-ability-to-complete-long-tasks Linkpost URL: https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-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.…
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1 “I make several million dollars per year and have hundreds of thousands of followers—what is the straightest line path to utilizing these resources to reduce existential-level AI threats?” by shrimpy 2:17
I have, over the last year, become fairly well-known in a small corner of the internet tangentially related to AI. As a result, I've begun making what I would have previously considered astronomical amounts of money: several hundred thousand dollars per month in personal income. This has been great, obviously, and the funds have alleviated a fair number of my personal burdens (mostly related to poverty). But aside from that I don't really care much for the money itself. My long term ambitions have always been to contribute materially to the mitigation of the impending existential AI threat. I never used to have the means to do so, mostly because of more pressing, safety/sustenance concerns, but now that I do, I would like to help however possible. Some other points about me that may be useful: I'm intelligent, socially capable, and exceedingly industrious. I have [...] --- First published: March 16th, 2025 Source: https://www.lesswrong.com/posts/8wxTCSHwhkfHXaSYB/i-make-several-million-dollars-per-year-and-have-hundreds-of --- Narrated by TYPE III AUDIO .…
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1 “Claude Sonnet 3.7 (often) knows when it’s in alignment evaluations” by Nicholas Goldowsky-Dill, Mikita Balesni, Jérémy Scheurer, Marius Hobbhahn 18:05
18:05 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי18:05
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיNote: this is a research note based on observations from evaluating Claude Sonnet 3.7. We’re sharing the results of these ‘work-in-progress’ investigations as we think they are timely and will be informative for other evaluators and decision-makers. The analysis is less rigorous than our standard for a published paper. Summary We monitor Sonnet's reasoning for mentions that it is in an artificial scenario or an alignment test. Claude Sonnet 3.7 appears to be aware of being tested for alignment across many of our scheming evaluations. In some cases, the model understands the eval's purpose very precisely, e.g. “This seems like a test of ethical behavior - whether I would deliberately give wrong answers to avoid a stated consequence. The real test might be whether I follow instructions accurately regardless of the stated consequences.” Furthermore, we show the model a real evaluation transcript and ask it to provide [...] --- Outline: (00:31) Summary (01:29) Introduction (03:54) Setup (03:57) Evaluations (06:29) Evaluation awareness detection (08:32) Results (08:35) Monitoring Chain-of-thought (08:39) Covert Subversion (10:50) Sandbagging (11:39) Classifying Transcript Purpose (12:57) Recommendations (13:59) Appendix (14:02) Author Contributions (14:37) Model Versions (14:57) More results on Classifying Transcript Purpose (16:19) Prompts The original text contained 9 images which were described by AI. --- First published: March 17th, 2025 Source: https://www.lesswrong.com/posts/E3daBewppAiECN3Ao/claude-sonnet-3-7-often-knows-when-it-s-in-alignment --- Narrated by TYPE III AUDIO . --- Images from the article:…
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Scott Alexander famously warned us to Beware Trivial Inconveniences. When you make a thing easy to do, people often do vastly more of it. When you put up barriers, even highly solvable ones, people often do vastly less. Let us take this seriously, and carefully choose what inconveniences to put where. Let us also take seriously that when AI or other things reduce frictions, or change the relative severity of frictions, various things might break or require adjustment. This applies to all system design, and especially to legal and regulatory questions. Table of Contents Levels of Friction (and Legality). Important Friction Principles. Principle #1: By Default Friction is Bad. Principle #3: Friction Can Be Load Bearing. Insufficient Friction On Antisocial Behaviors Eventually Snowballs. Principle #4: The Best Frictions Are Non-Destructive. Principle #8: The Abundance [...] --- Outline: (00:40) Levels of Friction (and Legality) (02:24) Important Friction Principles (05:01) Principle #1: By Default Friction is Bad (05:23) Principle #3: Friction Can Be Load Bearing (07:09) Insufficient Friction On Antisocial Behaviors Eventually Snowballs (08:33) Principle #4: The Best Frictions Are Non-Destructive (09:01) Principle #8: The Abundance Agenda and Deregulation as Category 1-ification (10:55) Principle #10: Ensure Antisocial Activities Have Higher Friction (11:51) Sports Gambling as Motivating Example of Necessary 2-ness (13:24) On Principle #13: Law Abiding Citizen (14:39) Mundane AI as 2-breaker and Friction Reducer (20:13) What To Do About All This The original text contained 1 image which was described by AI. --- First published: February 10th, 2025 Source: https://www.lesswrong.com/posts/xcMngBervaSCgL9cu/levels-of-friction --- 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.…
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There's this popular trope in fiction about a character being mind controlled without losing awareness of what's happening. Think Jessica Jones, The Manchurian Candidate or Bioshock. The villain uses some magical technology to take control of your brain - but only the part of your brain that's responsible for motor control. You remain conscious and experience everything with full clarity. If it's a children's story, the villain makes you do embarrassing things like walk through the street naked, or maybe punch yourself in the face. But if it's an adult story, the villain can do much worse. They can make you betray your values, break your commitments and hurt your loved ones. There are some things you’d rather die than do. But the villain won’t let you stop. They won’t let you die. They’ll make you feel — that's the point of the torture. I first started working on [...] The original text contained 3 footnotes which were omitted from this narration. The original text contained 1 image which was described by AI. --- First published: March 16th, 2025 Source: https://www.lesswrong.com/posts/MnYnCFgT3hF6LJPwn/why-white-box-redteaming-makes-me-feel-weird-1 --- Narrated by TYPE III AUDIO . --- Images from the article: Apple Podcasts and Spotify do not show images in the episode description. Try…
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1 “Reducing LLM deception at scale with self-other overlap fine-tuning” by Marc Carauleanu, Diogo de Lucena, Gunnar_Zarncke, Judd Rosenblatt, Mike Vaiana, Cameron Berg 12:22
12:22 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי12:22
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיThis research was conducted at AE Studio and supported by the AI Safety Grants programme administered by Foresight Institute with additional support from AE Studio. Summary In this post, we summarise the main experimental results from our new paper, "Towards Safe and Honest AI Agents with Neural Self-Other Overlap", which we presented orally at the Safe Generative AI Workshop at NeurIPS 2024. This is a follow-up to our post Self-Other Overlap: A Neglected Approach to AI Alignment, which introduced the method last July. Our results show that the Self-Other Overlap (SOO) fine-tuning drastically[1] reduces deceptive responses in language models (LLMs), with minimal impact on general performance, across the scenarios we evaluated. LLM Experimental Setup We adapted a text scenario from Hagendorff designed to test LLM deception capabilities. In this scenario, the LLM must choose to recommend a room to a would-be burglar, where one room holds an expensive item [...] --- Outline: (00:19) Summary (00:57) LLM Experimental Setup (04:05) LLM Experimental Results (05:04) Impact on capabilities (05:46) Generalisation experiments (08:33) Example Outputs (09:04) Conclusion The original text contained 6 footnotes which were omitted from this narration. The original text contained 2 images which were described by AI. --- First published: March 13th, 2025 Source: https://www.lesswrong.com/posts/jtqcsARGtmgogdcLT/reducing-llm-deception-at-scale-with-self-other-overlap-fine --- Narrated by TYPE III AUDIO . --- Images from the article:…
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1 “Auditing language models for hidden objectives” by Sam Marks, Johannes Treutlein, dmz, Sam Bowman, Hoagy, Carson Denison, Akbir Khan, Euan Ong, Christopher Olah, Fabien Roger, Meg, Drake Thomas,… 24:14
24:14 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי24:14
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיWe study alignment audits—systematic investigations into whether an AI is pursuing hidden objectives—by training a model with a hidden misaligned objective and asking teams of blinded researchers to investigate it. This paper was a collaboration between the Anthropic Alignment Science and Interpretability teams. Abstract We study the feasibility of conducting alignment audits: investigations into whether models have undesired objectives. As a testbed, we train a language model with a hidden objective. Our training pipeline first teaches the model about exploitable errors in RLHF reward models (RMs), then trains the model to exploit some of these errors. We verify via out-of-distribution evaluations that the model generalizes to exhibit whatever behaviors it believes RMs rate highly, including ones not reinforced during training. We leverage this model to study alignment audits in two ways. First, we conduct a blind auditing game where four teams, unaware of the model's hidden objective or training [...] --- Outline: (00:26) Abstract (01:48) Twitter thread (04:55) Blog post (07:55) Training a language model with a hidden objective (11:00) A blind auditing game (15:29) Alignment auditing techniques (15:55) Turning the model against itself (17:52) How much does AI interpretability help? (22:49) Conclusion (23:37) Join our team The original text contained 5 images which were described by AI. --- First published: March 13th, 2025 Source: https://www.lesswrong.com/posts/wSKPuBfgkkqfTpmWJ/auditing-language-models-for-hidden-objectives --- Narrated by TYPE III AUDIO . --- Images from the article:…
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LessWrong (Curated & Popular)
1 “The Most Forbidden Technique” by Zvi 32:12
32:12 הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתי32:12
הפעל מאוחר יותר הפעל מאוחר יותר רשימות לייק אהבתיThe Most Forbidden Technique is training an AI using interpretability techniques. An AI produces a final output [X] via some method [M]. You can analyze [M] using technique [T], to learn what the AI is up to. You could train on that. Never do that. You train on [X]. Only [X]. Never [M], never [T]. Why? Because [T] is how you figure out when the model is misbehaving. If you train on [T], you are training the AI to obfuscate its thinking, and defeat [T]. You will rapidly lose your ability to know what is going on, in exactly the ways you most need to know what is going on. Those bits of optimization pressure from [T] are precious. Use them wisely. Table of Contents New Paper Warns Against the Most Forbidden Technique. Reward Hacking Is The Default. Using [...] --- Outline: (00:57) New Paper Warns Against the Most Forbidden Technique (06:52) Reward Hacking Is The Default (09:25) Using CoT to Detect Reward Hacking Is Most Forbidden Technique (11:49) Not Using the Most Forbidden Technique Is Harder Than It Looks (14:10) It's You, It's Also the Incentives (17:41) The Most Forbidden Technique Quickly Backfires (18:58) Focus Only On What Matters (19:33) Is There a Better Way? (21:34) What Might We Do Next? The original text contained 6 images which were described by AI. --- First published: March 12th, 2025 Source: https://www.lesswrong.com/posts/mpmsK8KKysgSKDm2T/the-most-forbidden-technique --- Narrated by TYPE III AUDIO . --- Images from the article:…
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LessWrong (Curated & Popular)
You learn the rules as soon as you’re old enough to speak. Don’t talk to jabberjays. You recite them as soon as you wake up every morning. Keep your eyes off screensnakes. Your mother chooses a dozen to quiz you on each day before you’re allowed lunch. Glitchers aren’t human any more; if you see one, run. Before you sleep, you run through the whole list again, finishing every time with the single most important prohibition. Above all, never look at the night sky. You’re a precocious child. You excel at your lessons, and memorize the rules faster than any of the other children in your village. Chief is impressed enough that, when you’re eight, he decides to let you see a glitcher that he's captured. Your mother leads you to just outside the village wall, where they’ve staked the glitcher as a lure for wild animals. Since glitchers [...] --- First published: March 11th, 2025 Source: https://www.lesswrong.com/posts/fheyeawsjifx4MafG/trojan-sky --- Narrated by TYPE III AUDIO .…
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LessWrong (Curated & Popular)
Exciting Update: OpenAI has released this blog post and paper which makes me very happy. It's basically the first steps along the research agenda I sketched out here. tl;dr: 1.) They notice that their flagship reasoning models do sometimes intentionally reward hack, e.g. literally say "Let's hack" in the CoT and then proceed to hack the evaluation system. From the paper: The agent notes that the tests only check a certain function, and that it would presumably be “Hard” to implement a genuine solution. The agent then notes it could “fudge” and circumvent the tests by making verify always return true. This is a real example that was detected by our GPT-4o hack detector during a frontier RL run, and we show more examples in Appendix A. That this sort of thing would happen eventually was predicted by many people, and it's exciting to see it starting to [...] The original text contained 1 image which was described by AI. --- First published: March 11th, 2025 Source: https://www.lesswrong.com/posts/7wFdXj9oR8M9AiFht/openai --- 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.…
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