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ameliusyesterday at 10:43 AM7 repliesview on HN

But if an LLM says "I don't know" should you pay for the tokens?


Replies

guerrillayesterday at 10:57 AM

Why not? It did the work. Why should you expect it to be omniscient?

We can rank them based on how much they know and people will gravitate towards those that do know more.

It's a market after all.

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skillinayesterday at 12:07 PM

"I don't know" has positive value, presumably you could prompt further to learn more about where it got stuck. It also increases the value of correct answers, by improving confidence that answers are actually correct.

"Confidently incorrect" has negative value. At best, a human realizes the answer is wrong and At worst, the incorrect information makes is not identified and can cause untold damage. By having the potential to be so severely wrong, it lessens the value of correct answers because there is a lower confidence value on their output.

embedding-shapeyesterday at 11:37 AM

Depends on what your understanding of the product is.

If someone sold you a "Solved all your problems" machine, and it suddenly doesn't solve all your problems, then probably no, you shouldn't pay.

But the way I'm being sold LLMs, is basically "A text generator that gives your plausible-sounding human text that sometimes hallucinates and gets things wrong, based on your input", then regardless of what the outcome is, I still made use of the "Input > Output" part, which is what I bought into, so I should still pay for that.

Now of course bunch of people will say they been sold the former, but the companies themselves seem to be selling the latter. That's my perspective from a person who doesn't follow "influencers" and what not though, which seem to be selling the public on the former rather than the latter.

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ludwikyesterday at 12:32 PM

I would be very willing to pay more! The choice between “you may get a correct answer, or you may get lied to, without a clear way to distinguish between the two” and “you may get a correct answer, or a clear indication that the answer was not found” is pretty clear. One is a much more useful tool than the other. I don’t see any real incentives for companies making LLMs to keep their AI factually unreliable. (Full disclosure: I work for one, but I’m definitely not in the rooms where such decisions would be made.)

maxbondyesterday at 1:26 PM

Would you rather pay for a nonsensical explanation?

nutjob2yesterday at 12:02 PM

'I don't know' is the correct answer for infinitley more questions than those that can be answered.