Is it true that AI struggles with abstraction?

Actually, I’ve heard similar issues raised, and I disagree. AI does struggle with abstraction compared to humans. This stems from AI's architecture, which doesn't really mimic how our brains process concepts. Abstraction is about stripping away unnecessary details and focusing on core elements, which is something humans do naturally. Right now, AI can't generalize in that way as effectively.

That’s an interesting point! What’s holding AI back from doing this better? Is there a way to improve it?

I actually think AI can be pretty decent at abstraction in some cases. It really depends on how you define it.

If we're talking about generalizing concepts, it can struggle, but that's not the whole story. We need to clarify what type of abstraction we're discussing.