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It would be one thing if I was arguing solely from credentials, but as I note, I lack any, and my arguments are largely on perceived merit. Even so, I think that calling it a logical fallacy is incorrect, because at the very least it's Bayesian evidence. If someone shows up and starts claiming that all the actual physicists are ignoring them, well, I know which side is likely correct.
I have certainly, in the past or present, shared detailed arguments.
https://www.themotte.org/post/2368/culture-war-roundup-for-the-week/353975?context=8#context
https://www.themotte.org/post/2272/is-your-ai-assistant-smarter-than/349731?context=8#context
I've already linked to an explainer of why it struggles above, the same link regarding the arithmetic woes. LLM vision sucks. They weren't designed for that task, and performance on a lot of previously difficult problems, like ARC-AGI, improves dramatically when the information is restructured to better suit their needs
https://www.themotte.org/post/2254/culture-war-roundup-for-the-week/346098?context=8#context
I've been using LLMs to review my writing for a long time, and I've noticed a consistent problem: most are excessively flattering. You have to mentally adjust their feedback downward unless you're just looking for an ego boost. This sycophancy is particularly severe in GPT models and Gemini 2.5 Pro, while Claude is less effusive (and less verbose) and Kimi K2 seems least prone to this issue.
https://www.themotte.org/post/1754/culture-war-roundup-for-the-week/309571?context=8#context
https://www.themotte.org/post/1741/culture-war-roundup-for-the-week/307961?context=8#context
I give up. I have too many comments about LLMs for me to go through them all. But I have, in short, said:
LLMs are fallible. They hallucinate.
They are sycophantic.
They aren't great at poetry (they do fine now, but nothing amazing)
Their vision system sucks
Their spatial reasoning can be sketchy
You should always double check anything that is mission critical while using them.
These two statements are not inconsistent. Hallucinations exist, but can mitigated. They do perform a whole host of tasks well, otherwise I wouldn't be using them for said tasks. If they're not reasoning while winning the IMO, I have to wonder if the people claiming otherwise are reasoning themselves.
Note that I usually speak up in favor of LLMs when people make pig-headed claims about their capabilities or lack thereof. I do not see many people claiming that modern LLMs are ASIs or can cure cancer, and if they said such a thing, I'd argue with them too. The assymetry of misinformation is, as far as I can tell, not my fault.
What of it? I do, as a matter of fact know more about LLMs than the average person I'm arguing with. I do not claim to be an expert, the more domain expertise they tend to have, the more they tend to align with my claims. More importantly, I always have receipts at hand.
Note that I'm not saying you are not arguing from your credentials. But rather, you are arguing based on the credentials of others with the statement "In the general AI-risk is a serious concern category, there's everyone from Nobel Prize winners to billionaires". Nobel Prize winners do have credibility (albeit not necessarily outside their domain of expertise), but that isn't a decisive argument because of the fallacy angle.
This is, to be blunt, quite wrong. Appeal to authority is a logical fallacy, one of the classics that humans have noted since antiquity. Authorities can be wrong, just like anyone else. This doesn't mean your claims are false, of course, just that the argument you made in your previous post for your claims is weak as a result.
I simply think it's funny. If it doesn't strike you as humorous that your statement would be agreed upon by all (just with different claims as to who has the bad takes), then we just don't share a similar sense of humor. No big deal.
Note that I claimed that the support of experts (Geoffrey Hinton is one of the Nobel Prize winners in question) strengthens my case, not that this, by itself, proves that my claim is true, which would actually be a logical fallacy. I took pains to specify that I'm talking about Bayesian evidence.
Consider that there's a distinction made between legitimate and illegitimate appeals to authority. Only the latter is a "logical fallacy".
Hinton won the Nobel Prize in Physics, but for the invention of neural networks. I can hardly see someone more qualified to be an expert in the field of AI/ML.
https://en.wikipedia.org/wiki/Argument_from_authority
It would be, if it wasn't for the veritable mountain of text I've written to explain myself, or the references I've always cited.
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