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Its kind of funny, because right now, GPT4 doesn't even achieve GPT4 levels of performance.

Its a real issue with not having access to the underlying models/ how they were trained. We know they've repeatedly nerfed/ broken this model.

I feel like a broken record, but...

Seriously, the current large "language" models - or should I say, large syntax models? - are a technological dead end. They might find a lot of applications, but they certainly will not evolve to the "superhuman capabilities" from the tech bros' wet dreams.

In the best hypothesis, all that the self-instruction will do is to play whack-a-mole with hallucinations. In the worst it'll degenerate.

You'll need a different architecture to go meaningfully past that. Probably one that doesn't handle semantics as an afterthought, but instead as its own layer, a central and big one.