Sometimes it is more like "AI is like a hammer in a world full of screws."
this post was submitted on 17 Jul 2024
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It's not good at replacing your job, but good at convincing your boss that it can
It's more like Jefferson's dumbwaiter, in that it was created by someone who verbally supported an egalitarian utopian vision of society, but the device itself is a scale model of an exploitative social system. At one station of the device, unpaid/low-paid labor operates out of view of the user, and then at the other station, the user enjoys an almost-magical appearance of an answer to their request.
No tool is "just a tool", after all. In that way, AI is like a hammer.
(That section of the video leans heavily on Do Artifacts Have Politics?, which is a pretty short and accessible essay. If you're not convinced that artifacts do have politics, and you don't want to watch the video, just read a few paragraphs of the essay.)
Nope. It's more like that weird thing you brought at 3 am off of the Home Shopping Network because you were in a really bad place and thought it would make you feel better.
Now it's taking up space and you don't want to throw it out because that would mean you're a failure...
calling (mm)LLMs AI is just corpo bullshit. But hey, it's fancy, right?
I don't see the "is not actual AI" argument.
Since the 80 AI has just been algorithms and proposals for neural networks.
It never has need to have a "soul" or "be sentient" to be Artificial Intelligence.
Even a simple Tic Tac Toc opponent algorithm has been called AI without much complaining about it.
Also AI didn't got called AI by corporations. That naming for the technology dates from where it was being proposed as concepts in universities.
Complaining that it's called AI is like complaining that smartphones are called smart. There's no stopping it, you just end up sounding like an old man yelling at the cloud. (Which isn't really a cloud, but we still call it that)
Nah, smartphones being actually "smarter" than feature phones as in you can do way more than just basic stuff like calling, messaging people, run a simple calculation, having a calendar etc.
They are neural networks which are some of the oldest AI tech we have.
You can hate them, but they are by definition AI.
uhm no, AI is relaying on neural networks (which are just weighted gates) but Neural Networks are not by definition AI.
I'm sorry but they absolutely are.
sorry, but I disagree.
you not liking it doesn't make it any less ai. I don't remember that many people complaining when we called the code controlling video game characters ai.
pretty sure that they were and still are called Bots though, atleast in the context of first person shooter.
look at the NBT tags for bats for example. it means artificial intelligence.
next thing you gonna say that boids are AI too...
just because Mojang decided to name that flag noAI doesn't mean it uses AI to govern its behavior.
Descriptivism advocates when AI smhingmyheads
Software developer, here.
It's not actually AI. A large language model is essentially autocomplete on steroids. Very useful in some contexts, but it doesn't "learn" the way a neural network can. When you're feeding corrections into, say, ChatGPT, you're making small, temporary, cached adjustments to its data model, but you're not actually teaching it anything, because by its nature, it can't learn.
I'm not trying to diss LLMs, by the way. Like I said, they can be very useful in some contexts. I use Copilot to assist with coding, for example. Don't want to write a bunch of boilerplate code? Copilot is excellent for speeding that process up.
Very useful in some contexts, but it doesn’t “learn” the way a neural network can. When you’re feeding corrections into, say, ChatGPT, you’re making small, temporary, cached adjustments to its data model, but you’re not actually teaching it anything, because by its nature, it can’t learn.
But that's true of all (most ?) neural networks ? Are you saying Neural Networks are not AI and that they can't learn ?
NNs don't retrain while they are being used, they are trained once then they cannot learn new behaviour or correct existing behaviour. If you want to make them better you need to run them a bunch of times, collect and annotate good/bad runs, then re-train them from scratch (or fine-tune them) with this new data. Just like LLMs because LLMs are neural networks.
I know that they're "autocorrect on steroids" and what that means, I don't see how that makes it any less ai. I'm not saying that LLMs have that magic sauce that is needed to be considered truly "intelligent", I'm saying that ai doesn't need any magic sauce to be ai. the code controlling bats in Minecraft is called ai, and no one complained about that.
LLMs are part of AI, which is a fairly large research domain of math/info, including machine learning among other. God, even linear regression can be classified as AI : that term is reeeally large
I mean, I guess the way people use the term "AI" these days, sure, but we're really beating all specificity out of the term.
it's always been this broad, and that's a good thing. if you want to talk about AGI then say AGI.
This is a domain research domain that contain statistic methods and knowledge modeling among other. That's not new, but the fact that this is marketed like that everywhere is new
AI is really not a specific term. You may refer as global AI, and I suspect that's what you refer to when you say AI?
Or called our mobile phones "cell phones", despite not being organic. Tsk.
Except cell phones or cellular phones refer to the structure a mobile network is built on: a mesh of cell towers.