this post was submitted on 27 Aug 2025
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Sigh . It's not AI; it's a machine learning algorithm. Nevertheless, this is the right use of the technology. Machine learning is all about finding correlations in big data, and this is a good example of that.
ML is AI. It's not generative AI like LLMs, but it is AI.
It's not AI. LLMs are not intelligent, they do not think. It's only a marketing term.
How precisely does human thought operate that is distinct from pattern-recognition, inference, and pattern output? I ask this rhetorically, because we don't actually have a proven model of how our own intelligence functions.
I agree that obviously neural networks are not AGI (which requires consciousness), but I think the visceral "this isn't intelligence" reactions I see tend to be more about the belief that human intelligence is special or unique. We know now that humans aren't really that distinct from other animals in our ability to think, even ones that we would normally assume are "reaction-driven" like insects.
Unless we can prove that we ourselves are not just really really complex calculators that do pattern-matching, inference, and reproduction, we can't actually assert that machine learning is not a rudimentary version of intelligence.
Are you commenting on AI as we knew it before LLMs entered the picture, or AI as companies refer to it today? Between your comments, I can't tell.
Personally, I'd argue that ML qualifies as AI if we're using the former definition, but not if we're using the latter, if only because the latter is a horrifically useless corporate buzzword that has no place in any sane human lexicon.
I think their point is that there's no intelligence here. It's a bunch of matrix multiplication, functions being executed against elements of vectors and matrices, convolutions, etc. All of it is math.
"AI" is a meaningless term. With prior definitions of AI, an implementation of Dijkstra's algorithm could be considered AI.
Artificial intelligence as a term has had decades of use in videogames as a word to describe many different imitations and appearances of intelligence, as well as the many stepping stones on the long road toward intelligence. Claiming it was a meaningless term is doing a disservice to history. And something being math doesn't make it any less real, else our own intelligence would be questionable; after all, sufficiently complicated math can represent our own brains, too.
I weep for what chatbots have done to the image of this field.
I am aware. I literally studied AI in university.
It has never had a meaningful definition. Many people used it to mean ML, while the common usage (the "AI" in a video game) meant something that could perform actions on behalf of a human. Pathfinding, which is one element of that in video games (see literally any NPC that moves in a game), is purely algorithmic, and a lot of people who used "AI" to refer to ML would disagree that Dijkstra's algorithm is "AI".
AI in pop culture generally meant some weird terminator/robocop-esque replacement of people. We do not, nor have we ever, had anything that does this, and the term more accurately used for that is AGI.
AI has always just been an opaque term meaning "something tech-related I don't understand". It's just the tech word for "magic".