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Saying ML is a field where deterministic code would work just fine conveniently leaves out the difficult part - writing the actual code.... Which we haven't been able to do for most of the tasks at hand.

What you are saying is fantasy nonsense.

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They did not leave it out.

> but the amount of cases it would need to cover is too large to be practical (note, this has nothing to do with the impossibility of its design)

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> would work just fine, but the amount of cases it would need to cover is too large to be practical

So it doesn't work.

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And all you have to do is write an infinite amount of code to cover all possible permutations of reality! No big deal, really.
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I'm a psychiatry resident who has been into ML since... at least 2017. I even contemplated leaving medicine for it in 2022 and studied for that, before realizing that I'd never become employable (because I could already tell the models were getting faster than I am).

You would be sorely mistaken to think I'm utterly uninformed about LLM-research, even if I would never dare to claim to be a domain expert.

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