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| ▲ | inopinatus 5 hours ago | parent | next [-] | | > I never heard… You should listen better. The University of Edinburgh had an entire Department of Artificial Intelligence when I was an undergrad there in the 1990s, and one of the things it researched was machine learning. | | |
| ▲ | LoganDark 4 hours ago | parent [-] | | I don't see how including machine learning under the artificial intelligence umbrella counts as calling machine learning AI. | | |
| ▲ | inopinatus 2 hours ago | parent | next [-] | | My local supermarket places the almond milk in the dairy section, and some people find this very upsetting. | | |
| ▲ | golem14 13 minutes ago | parent [-] | | My local cvs refused to let me buy non-alcoholic Bloody Mary mix aka spicy tomato juice without ID, because it was slotted in the alcoholic category. |
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| ▲ | fn-mote 6 hours ago | parent | prev | next [-] | | Ed: I disagree. My recollection is that machine learning was routinely sold as “AI” even when it obviously wasn’t. (IBM’s Watson was good at Jeopardy but not real medical applications.) This isn’t exactly the same, but nothing in the book Paradigms of Artificial Intelligence would be considered AI today. | | |
| ▲ | LoganDark 5 hours ago | parent [-] | | You must be thinking of a different machine learning. All the on-device machine learning, backend machine learning, OCR, etc. was all called "machine learning" before LLMs. Yes, the field of artificial intelligence still existed, often used machine learning, and called the result "AI". But Apple would call keyboard prediction machine learning. Microsoft would call OCR machine learning. YouTube called machine transcription machine learning. Google called camera image enhancement machine learning. Microsoft now calls everything AI (actually mostly "Copilot"). YouTube now calls everything AI (including genuine LLMs and generative features, but also everything it used to call machine learning). Google now calls everything AI (including everything it used to call machine learning). Apple is seemingly the only one immune. My argument is not that no one ever used "AI" to refer to a product that utilized machine learning, but rather that the term of art in the industry for machine learning itself was actually "machine learning", not "AI", until LLMs took over and made it "AI". You would not pull a library off the shelf for "AI", it would be for machine learning. You would not implement and perform "AI", but machine learning. Even central parts of the AI ecosystem like PyTorch advertise as being for "deep learning", which is a subset of machine learning. Not "AI". | | |
| ▲ | awwaiid 4 hours ago | parent | next [-] | | Counter example, the book that is the foundation of much coursework and learning for people in AI, has a whole section on "Machine Learning" with all that k-means and such in there - https://aima.cs.berkeley.edu/ | | |
| ▲ | LoganDark 4 hours ago | parent [-] | | I'm really not sure how that's a counterexample. The section is called machine learning, not AI. Machine learning is a useful tool for artificial intelligence, so I'd be surprised if a book about AI did not talk about it. | | |
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| ▲ | techpression 5 hours ago | parent | prev [-] | | Thank you. I was starting to think the history revision was almost true, but your recollection is very much in sync with my own. Everything was machine learning, nobody talked about AI unless it was for research, now marketing has changed that, unfortunately. | | |
| ▲ | thaumasiotes 3 hours ago | parent [-] | | > Everything was machine learning, nobody talked about AI unless it was for research Machine learning was AI. The specific wording was a branding choice, because "AI" was a deeply stigmatized brand. ( https://en.wikipedia.org/wiki/AI_winter ) But there was not a conceptual division. There's a close analogue to how modern genetic researchers are happy to tell you that your genome is not informative as to your "race", but it is informative as to your "ancestry". |
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| ▲ | bananaflag an hour ago | parent | prev | next [-] | | In 2011, I took an AI course at my university and it was all perceptrons and neural networks. | | |
| ▲ | bagels 41 minutes ago | parent [-] | | I took one longer ago than that and it wasn't all perceptrons and neural networks. It included other things too, like: planning, search methods, inference engines, decision trees, ... |
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| ▲ | woodson 3 hours ago | parent | prev [-] | | For a long time, AI was a bad word that stood for unfulfilled promise. See AI Winter. Hence, researchers strictly avoided the term while still working on learning algorithms, the same that power LLM training. |
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