Another day, another instance of rationalists struggling to comprehend how they've been played by the LLM companies: https://www.lesswrong.com/posts/5aKRshJzhojqfbRyo/unless-its-governance-changes-anthropic-is-untrustworthy

A very long, detailed post, elaborating very extensively the many ways Anthropic has played the AI doomers, promising AI safety but behaving like all the other frontier LLM companies, including blocking any and all regulation. The top responses are all tone policing and such denying it in a half-assed way that doesn't really engage with the fact the Anthropic has lied and broken "AI safety commitments" to rationalist/lesswrongers/EA shamelessly and repeatedly:

https://www.lesswrong.com/posts/5aKRshJzhojqfbRyo/unless-its-governance-changes-anthropic-is-untrustworthy?commentId=tBTMWrTejHPHyhTpQ

I feel confused about how to engage with this post. I agree that there's a bunch of evidence here that Anthropic has done various shady things, which I do think should be collected in one place. On the other hand, I keep seeing aggressive critiques from Mikhail that I think are low-quality (more context below), and I expect that a bunch of this post is "spun" in uncharitable ways.

https://www.lesswrong.com/posts/5aKRshJzhojqfbRyo/unless-its-governance-changes-anthropic-is-untrustworthy?commentId=CogFiu9crBC32Zjdp

I think it's sort of a type error to refer to Anthropic as something that one could trust or not. Anthropic is a company which has a bunch of executives, employees, board members, LTBT members, external contractors, investors, etc, all of whom have influence over different things the company does.

I would find this all hilarious, except a lot of the regulation and some of the "AI safety commitments" would also address real ethical concerns.

Continuation of the lesswrong drama I posted about recently:

https://www.lesswrong.com/posts/HbkNAyAoa4gCnuzwa/wei-dai-s-shortform?commentId=nMaWdu727wh8ukGms

Did you know that post authors can moderate their own comments section? Someone disagreeing with you too much but getting upvoted? You can ban them from your responding to your post (but not block them entirely???)! And, the cherry on top of this questionable moderation "feature", guess why it was implemented? Eliezer Yudkowsky was mad about highly upvoted comments responding to his post that he felt didn't get him or didn't deserve that, so instead of asking moderators to block on a case-by-case basis (or, acasual God forbid, consider maybe if the communication problem was on his end), he asked for a modification to the lesswrong forums to enable authors to ban people (and delete the offending replies!!!) from their posts! It's such a bizarre forum moderation choice, but I guess habryka knew who the real leader is and had it implemented.

Eliezer himself is called to weigh in:

It's indeed the case that I haven't been attracted back to LW by the moderation options that I hoped might accomplish that. Even dealing with Twitter feels better than dealing with LW comments, where people are putting more effort into more complicated misinterpretations and getting more visibly upvoted in a way that feels worse. The last time I wanted to post something that felt like it belonged on LW, I would have only done that if it'd had Twitter's options for turning off commenting entirely.

So yes, I suppose that people could go ahead and make this decision without me. I haven't been using my moderation powers to delete the elaborate-misinterpretation comments because it does not feel like the system is set up to make that seem like a sympathetic decision to the audience, and does waste the effort of the people who perhaps imagine themselves to be dutiful commentators.

Uh, considering his recent twitter post... this sure is something. Also" "it does not feel like the system is set up to make that seem like a sympathetic decision to the audience" no shit sherlock, deleting a highly upvoted reply because it feels like too much effort to respond to is in fact going to make people unsympathetic (at the least).

“I’m sort of a complex chaotic systems guy, so I have a low estimate that I actually know what the nonlinear dynamic in the memosphere really was,” he said. (Translation: It’s complicated.)

Why do these people have the urge to talk like this? Does it make themselves feel smarter? Do they think it makes them look smart to other people? Are they so caught up in their field they can't code switch to normal person talk?

We barely understsnd how LLMs actually work

I would be careful how you say this. Eliezer likes to go on about giant inscrutable matrices to fearmoner, and the promptfarmers use the (supposed) mysteriousness as another avenue for crithype.

It's true reverse engineering any specific output or task takes a lot of effort and requires access to the model's internals weights and hasn't been done for most tasks, but the techniques exist for doing so. And in general there is a good high level conceptual understanding of what makes LLMs work.

which means LLMs don’t understand their own functioning (not that they “understand” anything strictly speaking).

This part is absolutely true. If you catch them in mistake, most of their data about responding is from how humans respond, or, at best fine-tuning on other LLM output and they don't have any way of checking their own internals, so the words they say in response to mistakes is just more bs unrelated to anything.

Another thing that's been annoying me about responses to this paper... lots of promptfondlers are suddenly upset that we are judging LLMs by abitrary puzzle solving capabilities... as opposed to the arbitrary and artificial benchmarks they love to tout.

Actually, as some of the main opponents of the would-be AGI creators, us sneerers are vital to the simulation's integrity.

Also, since the simulator will probably cut us all off once they've seen the ASI get started, by delaying and slowing down rationalists' quest to create AGI and ASI, we are prolonging the survival of the human race. Thus we are the most altruistic and morally best humans in the world!

Every AI winter, the label AI becomes unwanted and people go with other terms (expert systems, machine learning, etc.)... and I've come around to thinking this is a good thing, as it forces people to specify what it is they actually mean, instead of using a nebulous label with many science fiction connotations that lumps together decent approaches and paradigms with complete garbage and everything in between.

The latest twist I'm seeing isn't blaming your prompting (although they're still eager to do that), it's blaming your choice of LLM.

"Oh, you're using shitGPT 4.1-4o-o3 mini _ro_plus for programming? You should clearly be using Gemini 3.5.07 pro-doubleplusgood, unless you need something locally run, then you should be using DeepSek_v2_r_1 on your 48 GB VRAM local server! Unless you need nice sounding prose, then you actually need Claude Limmerick 3.7.01. Clearly you just aren't trying the right models, so allow me to educate you with all my prompt fondling experience. You're trying to make some general point? Clearly you just need to try another model."

Keep in mind the author isn't just (or even primarily) counting ultra wealth and establishment politicians as "elites", they are also including scientists trying to educate the public on their area of expertise (i.e. COVID, Global Warming, Environmentalism, etc.), and sociologists/psychologists explaining problems the author wants to ignore or are outright in favor of (racism/transphobia/homophobia).

This isn't debate club or men of science hour, this is a forum for making fun of idiocy around technology. If you don't like that you can leave (or post a few more times for us to laugh at before you're banned).

As to the particular paper that got linked, we've seen people hyping LLMs misrepresent their research as much more exciting than it actually is (all the research advertising deceptive LLMs for example) many many times already, so most of us weren't going to waste time to track down the actual paper (and not just the marketing release) to pick apart the methods. You could say (raises sunglasses) our priors on it being bullshit were too strong.

Lol, Altman's AI generated purple prose slop was so bad even Eliezer called it out (as opposed to make a doomer-hype point):

Perhaps you have found some merit in that obvious slop, but I didn't; there was entropy, cliche, and meaninglessness poured all over everything like shit over ice cream, and if there were cherries underneath I couldn't taste it for the slop.

First of all. You could make facts a token value in an LLM if you had some pre-calculated truth value for your data set.

An extra bit of labeling on your training data set really doesn't help you that much. LLMs already make up plausible looking citations and website links (and other data types) that are actually complete garbage even though their training data has valid citations and website links (and other data types). Labeling things as "fact" and forcing the LLM to output stuff with that "fact" label will get you output that looks (in terms of statistical structure) like valid labeled "facts" but have absolutely no guarantee of being true.