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In this case it found generic advice and was confusing itself.
by bilsbie 1y ago
In this case it found generic advice and was confusing itself.
- jqpabc123 1y agoThat's one explanation. Another could be that it simply has no real *understanding* of anything. It simply did a statistical comparison of the question to the available advice and picked the best match --- kinda what a search engine might do. Expecting *understanding* from a synthetic, statistical process will often end in disappointment.
- naijaboiler 1y agoYup. It’s time for us to just accept that LLMs are “similar in meaning” machines not “thinking/ understanding” machines
- jqpabc123 1y agoIf you think about it --- an LLM that could really *grasp* "pickleball" from a text description without ever seeing, playing or "experiencing" the game is not just human level intelligence --- it's superhuman. And the same applies to a lot of real world situations.