I wish the term "AI" would die. It's so unhelpful to understanding these programmes, and that's exactly why these bazinga-brained tech nerds love it so much. Can't have a conversation about the real-world effects of these things if half your audience thinks they're talking about baby HAL 9000.
Pattern Engines. That's what I've been thinking of these as. You feed enough sample pattern into it, and it spits out more of that pattern. "Large language model" is good, but that only covers the text. Pattern Engines work off of any pattern you set them up for; text, picture, audio, video.
Since most of it is based on deep learning, you can call it some variant of "matrix multiplication optimisers." Giving it descriptors based on the actual mechanisms already helps remove the glamour a bit, which is why researchers often name their things by the effects rather than the inner workings (StyleGan, Node2Vec, AlphaGo).
I wish the term "AI" would die. It's so unhelpful to understanding these programmes, and that's exactly why these bazinga-brained tech nerds love it so much. Can't have a conversation about the real-world effects of these things if half your audience thinks they're talking about baby HAL 9000.
Pattern Engines. That's what I've been thinking of these as. You feed enough sample pattern into it, and it spits out more of that pattern. "Large language model" is good, but that only covers the text. Pattern Engines work off of any pattern you set them up for; text, picture, audio, video.i like "very fancy predictive text" myself
Over-applied Statistics.
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Since most of it is based on deep learning, you can call it some variant of "matrix multiplication optimisers." Giving it descriptors based on the actual mechanisms already helps remove the glamour a bit, which is why researchers often name their things by the effects rather than the inner workings (StyleGan, Node2Vec, AlphaGo).