Did someone not know this like, pretty much from day one?
Not the idiot executives that blew all their budget on AI and made up for it with mass layoffs - the people interested in it. Was that not clear that there was no “reasoning” going on?
Well, two responses I have seen to the claim that LLMs are not reasoning are:
So I think this research is useful as a response to these, although I think "fuck off, promptfondler" is pretty good too.
there’s a lot of people (especially here, but not only here) who have had the insight to see this being the case, but there’s also been a lot of boosters and promptfondlers (ie. people with a vested interest) putting out claims that their precious word vomit machines are actually thinking
so while this may confirm a known doubt, rigorous scientific testing (and disproving) of the claims is nonetheless a good thing
No they do not im afraid, hell I didnt even know that even ELIZA caused people to think it could reason (and this worried the creator) until a few years ago.
A lot of people still don't, from what I can gather from some of the comments on "AI" topics. Especially the ones that skew the other way with its "AI" hysteria is often an invite from people who know fuck all about how the tech works. "Nudifier" or otherwise generative images or explicit chats with bots that portray real or underage people being the most common topics that attract emotionally loaded but highly uninformed demands and outrage. Frankly, the whole "AI" topic in the media is so massively overblown on both fronts, but I guess it is good for traffic and nuance is dead anyway.
Isn’t OpenAI saying that o1 has reasoning as a specific selling point?
they do say that, yes. it’s as bullshit as all the other claims they’ve been making
They say a lot of stuff.
Yes.
But the lies around them are so excessive that it's a lot easier for executives of a publicly traded company to make reasonable decisions if they have concrete support for it.
We suspect this research is likely part of why Apple pulled out of the recent OpenAI funding round at the last minute.
Perhaps the AI bros “think” by guessing the next word and hoping it’s convincing. They certainly argue like it.
🔥
This has been said multiple times but I don't think it's possible to internalize because of how fucking bleak it is.
The VC/MBA class thinks all communication can be distilled into saying the precise string of words that triggers the stochastically desired response in the consumer. Conveying ideas or information is not the point. This is why ChatGPT seems like the holy grail to them, it effortlessly^1^ generates mountains of corporate slop that carry no actual meaning. It's all form and no substance, because those people -- their entire existence, the essence of their cursed dark souls -- has no substance.
^1^ batteries not included
The only difference between the average VC and the average Sovereign Citizen is income.
Perhaps the AI bros “think” by guessing the next word and hoping it’s convincing
Perhaps? Isn't that the definition of LLMs?
Edit: oh, i just realized it's not talking about the LLMs, but about their apologists
"sigh"
(Preface: I work in AI)
This isn't news. We've known this for many, many years. It's one of the reasons why many companies didn't bother using LLM's in the first place, that paired with the sheer amount of hallucinations you'll get that'll often utterly destroy a company's reputation (lol Google).
With that said, for commercial services that use LLM's, it's absolutely not true. The models won't reason, but many will have separate expert agents or API endpoints that it will be told to use to disambiguate or better understand what is being asked, what context is needed, etc.
It's kinda funny, because many AI bros rave about how LLM's are getting super powerful, when in reality the real improvements we're seeing is in smaller models that teach a LLM about things like Personas, where to seek expert opinion, what a user "might" mean if they misspell something or ask for something out of context, etc. The LLM's themselves are only slightly getting better, but the thing that preceded them is propping them up to make them better
IMO, LLM's are what they are, a good way to spit information out fast. They're an orchestration mechanism at best. When you think about them this way, every improvement we see tends to make a lot of sense. The article is kinda true, but not in the way they want it to be.
(Preface: I work in AI)
Are they a serious researcher in ML with insights into some of the most interesting and complicated intersections of computer science and analytical mathematics, or a promptfondler that earns 3x the former's salary for a nebulous AI startup that will never create anything of value to society? Read on to find out!
Read on to find out!
do i have to
Welcome to the future! Suffering is mandatory!
as a professional abyss-starer, I'm going to talk to my union about this
(Preface: I work in AI)
Preface: repent for your sins in sackcloth and ashes.
IMO, LLM’s are what they are, a good way to spit information out fast.
Buh bye now.
while true; do fortune; done is a good way to spit information out fast.
what a user “might” mean if they misspell something
this but with extra wasabi
*trying desperately not to say the thing* what if AI could automatically... round out... spelling
Oh what a sweet, sweet tune to end a Sunday to
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