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Interesting process. "AI" as a term gets so overused, but in this instance I think they're really talking about image neural net processing.
This other one mentioned sounds like just image processing:
Or is it ML, not AI?
Overall interesting process but could be a lot more specific about the technology.
ML is also AI. Obviously would be one of those instead of the LLM stuff, and generally the LLM stuff is the more controversial.
Not really. We have had access to ml for a while and google used ml to blur license plates in streetview for a long time now. It's just pattern recognition with reinforcement.
Neural learning has been around since 2004-ish.
Yes. And I took an "AI" class as part of computer science curriculum back around 2000, including implementing "AI" stuff in lisp. We've been talking about AI for decades and ML for machine vision was always under that umbrella from the time out started becoming viable.
LLM is the recent popular subset of AI, not all of AI.
AI is a very big umbrella that encompasses a lot of methods computers can use to simulate decision making. Machine learning is just one of those. So are behavior trees for video game bots.
ML isn't AI, but a lot of people (companies trying to make money) have started branding it as AI.
I mean, prior to the whole LLM craze ML was pretty much 'the' AI thing.
Note that AI got so messy they started saying the thing people imagined is 'AGI', so I don't know if you are thinking that, but in that picky scenario there is no such thing as 'AI' on the market with that definition.
In pop culture, perhaps.
I would say more the opposite, in pop culture, LLM == AI. In the technical world, both in university and industry, AI has covered a lot of areas, and machine vision based on ML was absolutely under the category of AI. If you said you used pytorch to train an AI model no one in the industry or academia would have batted an eye.
No, not at all. AI has always meant more than just ML or any subset. Crack Russell and Norvig's book. Yes, it was written from an intelligent agent perspective, but absolutely not limited to any form of ML.
You go to the major AI conferences---AAAI or IJCAI, perhaps, and you will find a wide assortment of studies that have nothing to do with machine learning. Logic foundations of AI? Knowledge representation/reasoning? Decision-theoretic planning? NLP? AI has a ton of relevant subfields, and entire conferences that have nothing to do with ML.
Hell, for years at major conferences we've seen live contests in areas like SAT solving and game playing (based on planning not matchine learning).
I've spent my entire career studying artificial intelligence, and very little of it would be classified as machine learning.
Ok, so you weren't countering that ML wasn't AI, just contending that ML wasn't "the" AI in the AI field, that's fine. Keep in mind this thread kicked off from an assertion that ML wasn't AI. Fine, ML wasn't all of AI, but definitely was AI and in the popular understanding, it was pretty much "the" AI in the same way LLM is "the" AI now.
Which circles us back around to my original "pop culture" claim.