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@marcan@treehouse.systems i agree with this like 95%, with the tiny caveat that what makes AI transformers and diffusers "intelligent" isn't what they can do, but how they learn. it's the closest we've gotten to being able simulate how a brain learns on a neurological level, connections between neurons being strengthened and that sort of thing.

but clearly it's still very far from actually simulating how human brain forms ideas since GPTs are essentially markov chains at their core. i think we need to go back to calling it machine learning, and avoid investor-bait terms like "artificial intelligence" to describe what is essentially a giant probability matrix