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The downside of LLMs is that they're so easy and cheap to use they became the first choice for any problem at hand.
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Well there’s the other thing where people put total faith in them or believe system prompts are actual engineering challenges and not surface level changes against the more serious tasks of creating good architecture and training data, which have far more importance here. Kagi’s implementation just looks like a cheap magic trick once you look behind the curtain.



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