The LLMs are just somewhere between an averaging and a lossy compression of everything on GitHub. There’s nothing about the current paradigm of “AI” that is going to somehow do better than just rehashing that training set but with the inclusion of various classes of errors.
I think it’s better to view it as spicy search rather than any form of intelligence.
Yeah that’s mostly what i use it for. A way to search for things that i can’t describe well enough for a traditional search engine so I can find out at a glance what it’s name is and if it’s valid for my situation. If it is then I go look up documentation. Any time I’ve stayed in the LLM past that I eventually go down a rabbit hole of wrong ideas that aren’t always obvious until you get a bit too deep and you’ve wasted an hour with an incorrect solution.
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The LLMs are just somewhere between an averaging and a lossy compression of everything on GitHub. There’s nothing about the current paradigm of “AI” that is going to somehow do better than just rehashing that training set but with the inclusion of various classes of errors.
I think it’s better to view it as spicy search rather than any form of intelligence.
Yeah that’s mostly what i use it for. A way to search for things that i can’t describe well enough for a traditional search engine so I can find out at a glance what it’s name is and if it’s valid for my situation. If it is then I go look up documentation. Any time I’ve stayed in the LLM past that I eventually go down a rabbit hole of wrong ideas that aren’t always obvious until you get a bit too deep and you’ve wasted an hour with an incorrect solution.
If you treat it as spicy search it works pretty great though.