> LLM's, in their present stage of development, are sort of like a crack-addled idiot savant. Sometimes they are obviously insane, and sometimes they seem quite cogent, but you must never trust them implicitly.

I have nothing to add. Just wanted to save this quote for posterity. Thank you.

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_kb a day ago | parent [-]

The similar comparison I enjoy is “a golden retriever on LSD”.

If you apply the dogs on acid mental model it helps establish appropriate levels of trust.

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SV_BubbleTime a day ago | parent [-]

It falls apart fast because no golden retriever is finding errors in my CMake file.

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sham1 a day ago | parent | next [-]

Then again, have you ever asked a golden retriever about CMake errors? Rubber ducking is a real thing, after all. Besides, a golden retriever would be a good morale boost if nothing else.

	▲	ben_w 21 hours ago \| parent [-]
		ML in general is alien to how we think of intelligence. The closest I can make a biology analogy, is if someone had an immortal and congenitally-brain-damaged large rodent, and mapped tokens to different scent molecules, and spent 800,000 years training it on how well it could imagine the next smell in the sequence before even considering making it conversational. Yes, it can do a lot. But also, it took a long "subjective" (if it even has that) time to get there; and despite it being really bad at learning from examples, it is pretty surprising that such a small brain was even capable of learning so much at all, even though it had an effectively unbounded (by biological standards) amount of time spent on that training.

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JSR_FDED a day ago | parent | prev | next [-]

That’s more of a Labrador job

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_kb a day ago | parent | prev | next [-]

You just need to partake in some strong psychedelics with the dog first.

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Melatonic a day ago | parent | prev | next [-]

But have you asked the Steven Hawking of Golden Retrievers ? And then added LSD ?

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tripzilch 19 hours ago | parent | prev [-]

You just have to trust the exponentials