Ah, yes.
Remind me again how that “revolution of human mobility”, the Segway, is doing now…
Or how wanderful every single one the announcements of breakthroughs in Fusion generation have turned out to be…
Or how the safest Operating System ever, Windows 7, turned out in terms of security…
Or how Bitcoin has revolutionized how people pay each other for stuff…
Some of us have seen all lots of hype trains go by over the years, always with the same format, and recognize the salesspeak from greedy fuckers designed to excite ignorant naive fanboys of such bullshit chu-chu-trains when they come to the station.
Looking at your choice of words in your post you’re very invested in it, either emotionally (as a fanboy) or monetarily (greedy fucker hoping to make money from the hype) since rational people who are not using salesspeak will not refer to anything brand new as “the most incredible creation of humanity” (it’s way too early to tell) much less deem any and all criticism of it as “shitting on it”.
wizardbeard@lemmy.dbzer0.com 1 year ago
It’s shit on because it is not actually AI as the general public tends to use the term. This isn’t Data from Star Trek, or anything even approaching Asimov’s three laws.
The immediate defense against this statement is people going into mental gymnastics and hand waving about “well we don’t have a formal definition for intelligence so you can’t say they aren’t” which is just… nonsense rhetorically because the inverse would be true as well. Can’t label something as intelligent if we have no formal definition either. Or they point at various arbitrary tests that ChatGPT has passed and claim that clearly something without intelligence could never have passed the bar exam, in complete and utter ignorance of how LLMs are suited to those types of problem domains.
Also, I find that anyone bringing up the limitations and dangers is immediately lumped into this “AI haters” group like belief in AI is some sort of black and white religion or requires some sort of idealogical purity. Like having honest conversations about these systems’ problems intrinsically means you want them to fail. That’s BS.
Machine Learning and Large Language Models are amazing, they’re game changing, but they aren’t magical panaceas and they aren’t even an approximation of intelligence despite appearances. LLMs are especially dangerous because of how intelligent they appear to a layperson, which is why we see everyone rushing to apply them to entirely non-fitting use cases as a race to be the first to make the appearance of success and suck down those juicy VC bux.
Anyone trying to say different isn’t familiar with the field or is trying to sell you something. It’s the classic case of the difference between tech developers/workers and tech news outlets/enthusiasts.
The frustrating part is that people caught up in the hype train of AI will say the same thing: “You just don’t understand!” But then they’ll start citing the unproven potential future that is being bandied around by people who want to keep you reading their publication or who want to sell you something, not any technical details of how these (amazing) tools function.
At least in my opinion that’s where the negativity comes from.
Aceticon@lemmy.world 1 year ago
Personally, having been in Tech for almost 3 decades I am massivelly skeptical when the usual suspects put out yet another incredible claim backed up by nothing, and worse in an area I actually have quite a lot of knowledge in, and it gets picked up by mindless fanboys who don’t have the expertise to understand jack-shit about what they’re talking and greedy fuckers using salesspeak because they stand to personally gain if enough usefull idiots jump into the hype train.
You don’t even need to be old enough to remember that “revolution in human transportation” was how the Segway was announced: all it takes is to look at the claims about Bitcoin and the blockchain and remember the fraud-ridden shitshow the whole area became.
As I see it, anybody who is not skeptical towards “yet another ‘world changing’ claim from the usual types” is either dumb as a doorknob, young and naive or a greedy fucker invested in it trying to make money out of any “suckers” that jump into that hype train.
SirGolan@lemmy.sdf.org 1 year ago
I’ve been working on AI projects on and off for about 30 years now. Honestly, for most of that time I didn’t think neural nets were the way to go, so when LLMs and transformers got popular, I was super skeptical. After learning the architecture and using them myself, I’m convinced they’re part of but not the whole solution to AGI. As they are now, yes, they are world changing. They’re capable of improving productivity in a wide range of industries. That seems pretty world changing to me. There are already products out there proving this (GitHub Copilot, jasper, even ChatGPT). You’re welcome to downplay it and be skeptical, but I’d highly recommend giving it an honest try. If you’re right then you’ll have more to back up your opinion, and if you’re wrong, you’ll have learned to use the tech and won’t be left behind.
Aceticon@lemmy.world 1 year ago
In my experience they’re a great tool to wrap and unwrap knowledge in and from language envelopes with different characteristics and I wouldn’t at all be surprised if they replace certain jobs which deal mostly with communicating with people (for example, I suspect the kind of news reporting of news agencies doesn’t really need human writters to compose articles, just data in bullet point format an LLM to turn it into a “story”).
What LLMs are not is AGI.
Whilst I’ve been on and off on the whole “might they be the starting point from which AGI comes” (which is really down to the question “what is intelligence”), what I am certain is nobody who is trully knowledgeable about can honestly and assuredly state that “they are the seed from which AGI will come”, and that kind of crap (or worse, people just stating LLMs already are intelligent) is almost all of the hype we get about AI at the moment.
At the moment and judging by the developments we are seeing, I’m more inclined to think that at least the reasoning part of intelligence won’t be solved by this path, though the intuition part of it might as that stuff is mainly about pattern recognition.