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Is AI doomed to always be a version behind the target framework/language? If a framework API is updated or if a new hardware feature is launched, it will take a little time for the AI to catch-up right?

I imagine it’s not just about having API examples, you would want real codebases and use cases for training.

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Doesn’t google or someone have an ML model that lets you tweak something like stable diffusion with a small amount of specific pictures to train it on something not in its data set?

Presumably the same type of thing could work for code.

Can probably be accounted for by training AI to conditionally reverse lowering of the new constructs.

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