Knowledge without understanding would be just getting "42" and not being able to ask any follow-ups.

But I don't think that's where we are at the moment. I believe the results, proofs and papers can be reviewed and understood, just like if a human peer had published another result.

I also think that the speed at which results can be now generated can't be followed by our collective speed to understand them, using the methods we are used to. As we enter the next phase where AI publishes using mostly references of other AI results, this will compound exponentially until it would take any human decades to verify a single result by hand end to end.

I agree translating a phrase doesn't teach you a language, and I also believe translators are an essential tool that results extremely helpful when learning a new language.

So instead of throwing the towel, could we develop and adapt ways to improve and aid our understanding and verification processes?