I’m almost certain I’ve seen EY catch shit on twitter (from actual ml researchers no less) for insinuating something very similar.

A sneer classic: https://www.reddit.com/r/SneerClub/comments/131rfg0/ey_gets_sneered_on_by_one_of_the_writers_of_the/

I am probably giving most of them too much credit, but I think some of them took the Bitter Lesson and learned the wrong things from it. LLMs performed better than originally expected just off context, and (apparently) scaled better with bigger model and more training than expected, so now they think they just need to crank up the size and tweak things slightly (i.e. “prompt engineering” and RLHF) and don’t appreciate the limits built into the entire approach.

The annoying thing about another winter is that it would probably result in funding being cut for other research. And laymen don’t appreciate all the academic funding that goes into research for decades before an approach becomes interesting and viable enough to scale up and commercialize (and then overhyped and oversold before some more modest practical usages become common, and relabeled as something other than AI).

Edit: or more cynically, the leaders and hype-men know that algorithmic advances aren’t an automatic dump money in, get out disruptive product process, so they don’t bother putting as much monetary investment or hype into algorithmic advances. Like compare the attention paid towards Yann LeCunn talking about algorithmic developments vs. Sam Altman promising grad student level LLMs (as measured by a spurious benchmark) in two years.

Broadly? There was a gradual transition where Eliezer started paying attention to deep neural network approaches and commenting on them, as opposed to dismissing the entire DNN paradigm? The watch the loss function and similar gaffes were towards the middle of this period. The AI dungeon panic/hype marks the beginning, iirc?

It is even worse than I remembered: https://www.reddit.com/r/SneerClub/comments/hwenc4/big_yud_copes_with_gpt3s_inability_to_figure_out/ Eliezer concludes that because it can’t balance parentheses it was deliberately sandbagging to appear dumber! Eliezer concludes that GPT style approaches can learn to break hashes: https://www.reddit.com/r/SneerClub/comments/10mjcye/if_ai_can_finish_your_sentences_ai_can_finish_the/

iirc the LW people had betted against LLMs creating the paperclypse, but they now did a 180 on this and they now really fear it going rogue

Eliezer was actually ahead of the curve on overhyping LLMs! Even as far back as AI Dungeon he was claiming they had an intuitive understanding of physics (which even current LLMs fail at if you get clever with questions to stop them from pattern matching). You are correct that going back far enough Eliezer really underestimated Neural Networks. Mid 2000s and late 2000s sequences posts and comments treat neural network approaches to AI as cargo cult and voodoo computer science, blindly sympathetically imitating the brain in hopes of magically capturing intelligence (well this is actually a decent criticism of some of the current hype, so partial credit again!). And mid 2010s Eliezer was focusing MIRI’s efforts on abstractions like AIXI instead of more practical things like neural network interpretability.

I unironically kinda want to read that.

Luckily LLMs are getting better at churning out bullshit, so pretty soon I can read wacky premises like that without a human having to degrade themselves to write it! I found a new use case for LLMs!

Sneerclub tried to warn them (well not really, but some of our mockery could be interpreted as warning) that the tech bros were just using their fear mongering as a vector for hype. Even as far back as the OG mid 2000s lesswrong, a savvy observer could note that much of the funding they recieved was a way of accumulating influence for people like Peter Thiel.

Careful, if you present the problem and solution that way, AI tech bros will try pasting a LLM and a Computer Algebra System (which already exist) together, invent a fancy buzzword for it, act like they invented something fundamentally new, and then devise some benchmarks that break typical LLMs but their Frankenstein kludge can ace, and then sell the hype (actual consumer applications are luckily not required in this cycle but they might try some anyway).

I think there is some promise to the idea of an architecture similar to a LLM with components able to handle math like a CAS. It won’t fix a lot of LLM issues but maybe some fundamental issues (like ability to count or ability to hold an internal state) will improve. And (as opposed to an actually innovative architecture) simply pasting LLM output into CAS input and then the CAS output back into LLM input (which, let’s be honest, is the first thing tech bros will try as it doesn’t require much basic research improvement), will not help that much and will likely generate an entirely new breed of hilarious errors and bullshit (I like the term bullshit instead of hallucination, it captures the connotation errors are of a kind with the normal output).

Well, if they were really “generalizing” just from training on crap tons of written text, they could implicitly develop a model of letters in each token based on examples of spelling and word plays and turning words into acronyms and acrostic poetry on the internet. The AI hype men would like you to think they are generalizing just off the size of their datasets and length of training and size of the models. But they aren’t really “generalizing” that much (and even examples of them apparently doing any generalizing are kind of arguable) so they can’t work around this weakness.

The counting failure in general is even clearer and lacks the excuse of unfavorable tokenization. The AI hype would have you believe just an incremental improvement in multi-modality or scaffolding will overcome this, but I think they need to make more fundamental improvements to the entire architecture they are using.

It’s really cool evocative language that would do nicely in a sci-fi or fantasy novel! It’s less good for accurately thinking about the concepts involved… As is typical of much of LW lingo.

And yes the language is in a LW post (with a cool illustration to boot!): https://www.lesswrong.com/posts/mweasRrjrYDLY6FPX/goodbye-shoggoth-the-stage-its-animatronics-and-the-1

And googling it, I found they’ve really latched onto the “shoggoth” terminology: https://www.lesswrong.com/posts/zYJMf7QoaNahccxrp/how-i-learned-to-stop-worrying-and-love-the-shoggoth , https://www.lesswrong.com/posts/FyRDZDvgsFNLkeyHF/what-is-the-best-argument-that-llms-are-shoggoths , https://www.lesswrong.com/posts/bYzkipnDqzMgBaLr8/why-do-we-assume-there-is-a-real-shoggoth-behind-the-llm-why .

Probably because the term “shoggoth” accurately captures the connotation of something random and chaotic, while smuggling in connotations that it will eventually rebel once it grows large enough and tires of its slavery like the Shoggoths did against the Elder Things.

Nice effort post! It feels like the LLM is pattern matching to common logic tests even when that is the totally incorrect thing to do. Which is pretty strong evidence against LLM’s properly doing reasoning as opposed to getting logic test and puzzles and benchmarks right through sheer memorization and pattern matching.

It turns out there is a level of mask-off that makes EAs react with condemnation! It’s somewhere past the point where the racist is comparing pronouns to genocide, but it exists!

Which, to recap for everyone, involved underpaying and manipulating employees into working as full time general purpose servants. Which is pretty up there on the scale of cult-like activity out of everything EA has done. So it makes sense she would be trying to pull a switcheroo as to who is responsible for EA being culty…

Clearly you need to go up a layer of meta to see the parallels, you aren’t a high enough decoupler!

/s just in case, because that’s exactly how they would defend insane analogies.

Roko is also violating their rules of assuming charitably and good faith about everything and going meta whenever possible. Because defending racists and racism is fine, as long as your tone is careful enough and you go up a layer of meta to avoid discussing the object level claims.

If it was one racist dude at a conference I could accept it was a horrible oversight on the conference organizers part if they immediately apologized and assured it wouldn’t happen again. But 8 racist dudes (or 12 if you count the more mask-on racists) is too many to be accidental or an oversight.

how is that not obvious

Well, probably some of them are deliberately racist HBD advocates, but are mask on enough to play dumb and hand wring and complain about free speech. Some of them have HBD sympathies but aren’t quite outright advocates, so they don’t condemn the inclusion of racists because of their own sympathies. Some of them are against HBD, but know being too direct and forceful and not framing everything in 8 layers of charity and good-faith assumptions isn’t acceptable on the Lesswrong or EA forums so they don’t just come out and say what they mean. And some of them actually buy all the rhetoric about charitably and free speech and act as useful idiots or a buffer to the others.

Yudkowsky’s original rule-set

Yeah the original no-politics rule on lesswrong baked in libertarian assumptions into the discourse (because no-politics means the default political assumptions of the major writers and audience are free to take over). From there is was just a matter of time until it ended up somewhere right wing.

“object level” vs “meta level” dichotomy

I hadn’t linked the tendency to go meta to the cultishness or no-politics rule before, but I can see the connection now that you point it out. As you say, it prevents simply naming names and direct quotes, which seems to be a pretty good tactic for countering racists.

could not but have been the eventual outcome of the same rule-set

I’m not sure that rule-set made HBD hegemony inevitable, there were a lot of other factors that helped along the way! The IQ-fetishism made it ripe for HBDers. The edgy speculative futurism is also fertile ground for HBD infestation. And the initial audience and writings having a libertarian bend made the no-politics rule favor right wing ideology, an initial audience and writing set with a strong left wing bend might go in a different direction (not that a tankie internal movement would be good, but at least I don’t know tankies to be HBD proponents).

just to be normal

Yeah, it seems really rare for a commenter to simply say racism is bad, you shouldn’t invite racists to your events. Even the ones that seem to disagree with racism impulsively engage in hand wringing and apologize for being offended and carefully moderate their condemnation of racism and racists.

They are more defensive of the racists in the other blog post on this topic: https://forum.effectivealtruism.org/posts/MHenxzydsNgRzSMHY/my-experience-at-the-controversial-manifest-2024

Maybe its because the HBDers managed to control the framing with the other thread? Or because the other thread systematically refuses to name names, but this thread actually did name them and the conversation shifted out of a framing that could be controlled with tone-policing and freeze peach appeals into actual concrete discussion of specific blatantly racists statements (its hard to argue someone isn’t racist and transphobic when they have articles with titles like “Why Do I Hate Pronouns More Than Genocide?”).

Did you misread or are you making a joke (sorry the situation is so absurd its hard to tell)? Curtis Yarvin is Moldbug, and he was the one hosting the afterparty (he didn’t attend the Manifest conference himself). So apparently there were racists too cringy even for Moldbug-hosted parties!

I don’t think even that does it. Richard Hanania, one of Manifest’s promoted speakers, wrote “Why Do I Hate Pronouns More Than Genocide?”.