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> Where are the AI-driven breakthroughs?

Define breakthrough. When is the improvement big enough to count as one?

Define AI. Are you talking about modern LLM, or is old school ML also in that question?

I mean Googles AI-company had with AlphaFold and other project quite the impact.

> Or are we just using AI to remix existing general knowledge

Is remixing bad? Isn't many science today "just" remixing with slight improvements? I mean, there is a reason why we have theoretical and practical scientists. Doing boring Lab-work and accidentally discovering something exciting is not the only way science is happening. Analysing data and remixing information, building new theories, is also important.

And don't forget, we don't have AGI yet. Whatever AI is doing today, is limited by what humans are using it for. Another question is, whether LLM is not normalized enough already that we do not see it as very special any more, if it's used somewhere. So we might not even see it if AI has significant impact on any breakthrough.




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