Am I the only one getting agitated by the word AI (Artificial Intelligence)?
Real AI does not exist yet,
atm we only have LLMs (Large Language Models),
which do not think on their own,
but pass turing tests
(fool humans into thinking that they can think).
Imo AI is just a marketing buzzword,
created by rich capitalistic a-holes,
who already invested in LLM stocks,
and now are looking for a profit.
which do not think on their own,
Most humans don’t either. But if think you are conflating two different things, intelligence (ability to reason) and consciousness (being able to do so on your own). I personally believe with both of those things, that spontaneously come to existence in our brains when they became complex enough, we are just quantitatively not very far away from creating networks complex enough ourselves. Big last breakthrough was the ability to create training data sets for AI with AI that don’t make the models degenerate.
The word “AI” has been used for way longer than the current LLM trend, even for fairly trivial things like enemy AI in video games. How would you even define a computer “thinking on its own”?
The best thing is enemy “AI” only needs to be made worse right away after creating it. First they’ll headshot everything across the map in milliseconds. The art is to make it dumber.
I’m agitated that people got the impression “AI” referred specifically to human-level intelligence.
Like, before the LLM boom it was uncontroversial to refer to the bots in video games as “AI.” Now it gets comments like this.
I wholeheartedly agree, people use the term “AI” nowadays to refer to a very specific subcategory of DNNs (LLMs), but yeah, it used to refer to any more or less “”“smart”“” algorithm performing… Something on a set of input parameters. SVMs are AI, decision forests are AI, freaking kNN is AI, “artificial intelligence” is a loosely defined concept, any algorithm that aims to mimic human behaviour can be called AI and I’m getting a bit tired of hearing people say “AI” when they mean gpt-4 or stable diffusion.
When I was doing my applied math PhD, the vast majority of people in my discipline used either “machine learning”, “statistical learning”, “deep learning”, but almost never “AI” (at least not in a paper or a conference). Once I finished my PhD and took on my first quant job at a bank, management insisted that I should use the word AI more in my communications. I make a neural network that simply interpolates between prices? That’s AI.
The point is that top management and shareholders don’t want the accurate terminology, they want to hear that you’re implementing AI and that the company is investing in it, because that’s what pumps the company’s stock as long as we’re in the current AI bubble.