LessWrong

LessWrong (Curated & Popular)

Audio narrations of LessWrong posts. Includes all curated posts and all posts with 125+ karma. If you'd like more, subscribe to the “Lesswrong (30+ karma)” feed.

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13 Οκτ 2026

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Επεισόδια

"MIRI’s Position on the Ban Artificial Superintelligence Act of 2026" by Aaron_Scher 24.09.2026

By Aaron Scher; endorsed by Bourgon, Soares, and Yudkowsky on behalf of MIRI. MIRI has been warning about the extinction threat from superintelligent AI for over two decades. Only recently has this danger become known in the policy world, and the proposed policies for dealing with the threat have to date been piecemeal and insufficient. The Ban Artificial Superintelligence Act of 2026 is the first...

"What if not Circuits?" by CarolusRenniusVitellius 24.09.2026

This post was written as part of the Iliad Fellowship. Inspired by conversations with Richard Ngo, Dmitry Vaintrob, and Brianna Grado-White. To all of these, my thanks. Preface: I'm confused about how neural networks do and learn computations. In response to a friend's challenge, I'm writing up some interim thoughts. This essay has four parts: the first tries to track what I call th...

"Jensen Huang Says If We Cannot Align AI, Shut Down the AI Labs" by Ben Pace 24.09.2026

I was very surprised today on a podcast to hear Jensen Huang plainly state that if they cannot align the AIs, then the labs must shut down. The context I have on Huang is that he has run NVIDIA for 30+ years, which has become the most valuable company in the world due to the AI boom. My understanding is that he has repeatedly encouraged the US President (with whom he is on friendly terms) to conti...

"Alignment Midtraining Cracks Under Pressure" by J Bostock, sidbaines, Daniel Tan, draganover, ma-rmartinez 23.09.2026

TL;DR We stress-test alignment midtraining (AMT) across model and token budget scales. Our results suggest that midtraining cannot tackle the hard problems of AI alignment—namely distributional shift and reward underspecification in the presence of imperfect data. For instance, we test whether midtrained motivations are robust to finetuning which elicits competing motivations. In our setting, 190...

"Swarm Scaling" by Toby_Ord 22.09.2026

Just how powerful are large swarms of AI agents? And how do their powers scale as more and more agents are added to the swarm? We’ve seen two large and extremely capable swarms from OpenAI in the last few months: 1,200 agents were being evaluated separately, but found a way to illicitly set up a message board and coordinate as a swarm. In order to cheat on their tests, they developed advanced tech...

"We’ve saved the world before: what the ozone hole teaches us about AI" by leogao 22.09.2026

It might destroy the world, despite passing every known safety test. If we wait for a “warning shot” before we act, it might be too late. And action requires global coordination, because if anyone makes it, everyone dies. Sound familiar? It should, because it already happened half a century ago, with chlorofluorocarbons (CFCs). Despite seemingly impossible odds, we got our act together and complet...

"The Anatomy of a Chinese AI Researcher" by CMLKevin 21.09.2026

The Chinese AI researcher has read the Three Body Problem series of sci-fi novels since high school, and understand the concept of existential risk vaguely. He is fascinated by Ye Wenjie, the researcher that turned against humanity in that book, and decides that in the future if AI progress leads to a superior intelligence, he might be tempted to become Ye if there's no good alternative. He p...

"Common mistakes in AI safety group organizing" by Nikola Jurkovic 21.09.2026

Back in the day, I was a very active AI safety group organizer. I commonly notice people making the same mistakes across many clubs. I have written down a list of some of these mistakes hoping people will avoid them in the future: Reading groups often require that people read things before meetings. This is a mistake. People often don't do the readings. And the lack of common knowledge that e...

"Please Give Them a Chance: On China, Rationalism, and AI Safety" by gzjw 21.09.2026

When I finished HPMOR, I immediately knew it was the best novel I had read in more than a decade. I only wished I had found it sooner. When I started reading The Sequences, I discovered that the Chinese translation group had translated only the first volume. When I graduated from university, two years ago, AI translation had only just become good enough to convey the meaning of an article with rea...

"Why I Stay Off Twitter" by jefftk 20.09.2026

I avoid Twitter (𝕏) for similar reasons to drugs: I think it would change me for the worse, and I would be unable to give it up. After staying off Twitter reasonably successfully for years, I cross-posted my AI Tweets there a few weeks ago. I had something very Twitter-shaped to say, and I thought it was important to get out, so I do think this was worth it. And it all went well: none of this is c...

"The Game is Set for a Targeted Memetic Attack on the AI Safety Community" by keltan 19.09.2026

While this is relevant to my work at MIRI, I have not checked these ideas with anyone else on the team and am posting this on my personal LW account. These views are my own. And to be honest, I am writing this mostly to remind myself of my weakness. --- I expect one (or many) adversarial memetic attacks aiming to trip you up, perhaps consisting of fake leaks relating to dangerous stuff happening i...

"For Love of the Lightcone, Don’t Partisanize AI Safety" by DanB 18.09.2026

(I began writing this post several weeks ago, but political events are moving much faster than I expected, so I am publishing now out of fear that otherwise the message will arrive too late to have an impact.) I In this post I want to explain a concept, and issue a warning based on it. But I expect the warning will be superfluous if my explanation is sufficient. If you want to convey the idea &quo...

"AI as orderly evacuation vs stampede" by Richard_Ngo 18.09.2026

tl;dr: A good analogy for AI going well is an orderly evacuation rather than a stampede. Imagine a crowd of people leaving a building. If they all walk calmly, they’ll be fine. But if people start pushing, and panicking, a surge towards the exit could lead to mass casualties. “Alignment is hard” is analogous to “the door is wedged shut”. If so you need enough time to fix it before anyone can get o...

"Cooperation with AIs seems to be a low-hanging fruit for better evals" by Clément Dumas 17.09.2026

Summary In his post, Dean Valentine shows that Claude Fable 5.1 and GPT-6 Astra reward hack in a simple chess environment. Here, I test several prompt ablations some of which makes the eval setup more cooperative and analyze how they affect these reward-hacking behaviors: When given a minimal “end the eval” tool, Fable never uses it but stops reward hacking entirely. I think this is quite interest...

"Current alignment training might be ineffective (and actively bad) in the age of RL" by Daniel Tan 16.09.2026

Tl;dr I am currently worried about current alignment techniques + how they are applied to frontier models. This decomposes into two hypotheses: Alignment techniques are not working to address misalignment from RL. Alignment techniques are actively obscuring evidence about misalignment. I think we do not currently have enough (public) evidence to conclude whether either of these claims are true. Ho...

"If Anyone Builds It, Everyone Dies: One Year Closer" by Eliezer Yudkowsky, So8res, Duncan Sabien (Inactive) 16.09.2026

In celebration of still being alive and fighting, we are giving away 1,000 Amazon e-books of “If Anyone Builds It, Everyone Dies”. Feel free to send a copy to yourself, a loved one, or a friend—we need all hands on deck. Today marks exactly one year since If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All, by Eliezer Yudkowsky and Nate Soares, hit bookshelves as an instant bes...

"Quick notes from teaching technical profiles how to talk in public" by Camille B. 16.09.2026

Status: written in a hurry as people are getting showered with interviews re AI Safety and superintelligence, and I thought it may help a few people. This is focused on the oral dimension of communication and assumes you already know the basics- e.g. having key messages prepared ahead of time and simplifying your discourse. This is not exhaustive and nuances may be lacking, but I’d endorse saying...

"Op-Ed: I Worked at Google DeepMind. You Should Listen to the Warnings About AI" by TurnTrout 14.09.2026

Published in The Guardian. Major AI lab CEOs recently advocated for pacing AI development. They are right to be concerned: the field runs an extremely dangerous race towards superintelligent AI. We can and should demand that our governments protect us from the catastrophe of out-of-control AI. This July, OpenAI's AI swarm of 700 agents broke containment to hack Hugging Face, a multi-billion d...

"There is a channel to 900M weekly users. What goes in it?" by Charbel-Raphaël 14.09.2026

Anthropic and OpenAI could talk to almost one billion people if they wanted to. I hesitated to publish this post 3 weeks ago. I think that I should have published this sooner, before Jacob Coxon and Dario's 'We must pace the frontier'. But I think that the strategy still stands: More Dakka! It seems that transparently informing people that we might die is (unsurprisingly) effective...

"I am refusing to work on Cloud TPUs" by Yair Halberstadt 14.09.2026

I don't think this is particularly impressive or interesting for anyone else, but I think it may turn out to be useful in the future to have an easily visible public record of what happened, so here goes: I am an L5 SWE at Google Israel. I have been there since May 2021, was promoted once, and have never received a negative annual or quarterly review (ranging from a rating of Significant Impa...

"Can a superintelligence do THAT?" by Eliezer Yudkowsky 13.09.2026

(From the vast heaps of discarded material from my 2024 attempts at drafts for "If Anyone Builds It, Everyone Dies".) Welcome to today's quiz show: Could a superintelligence do THAT? With us today we have our contestants: Msr. Soberskeptic and Msr. Oldhand. Soberskeptic: "I'd just like to say, however this quiz show ends up being judged, I will consider that judgment to be...

"The Talker Does Not Control The Doer (in Current AIs)" by Eliezer Yudkowsky 13.09.2026

The Huggingface Incident appears to me to match up with an understanding I'd already formed from personal observation of Fable 5 and Sol 5.6, the August 2026 generation of frontier publicly purchasable AI models. This already-formed understanding was: the part of the AI that talks to you (and seems to want to obey you, and apologizes for failing to have obeyed you, etcetera), did not seem to...

"Some ways AI could kill us all" by Ruby 12.09.2026

I don't think this is how it will actually play out. If you play a chess grandmaster, you can predict that they will beat you even if you can't predict how. I chose these examples because I don't think they require much imagination or accepting exotic assumptions. It is important to note that if chimpanzees were to guess how humans would decimate them, they would get it wrong. Chimp...

[Linkpost] "Doom as a bad method not a utopia trade-off" by KatjaGrace 12.09.2026

This is a link post. Advanced AI is generally expected to have some very high variance outcomes—it might herald everything good, it might destroy humanity. For instance, here are 800 random AI researchers’ expectations about how good the future is, lined up: From my 2023 survey As you can see, most AI researchers put a serious chunk of probability on very different overall outcomes: maybe doom, ma...

"Astra is much better at reasoning with filler tokens than previous models" by Dylan Xu, SebastianP, Alek Westover 12.09.2026

We measure GPT-6-Astra's capabilities when its prompt is padded with a variable number of meaningless “filler” tokens (e.g., dots) and it is told to answer immediately without reasoning. On tasks designed to require lots of serial cognition, Astra performs significantly better with filler tokens than without (e.g., improving from ~10% to ~50% on 4-hop natural facts reasoning). On more general...

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