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jacamera | 10 months ago

Exactly! All LLMs do is “hallucinate”. Sometimes the output happens to be right, same as a broken clock.

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colinmorelli|10 months ago

I find this way of looking at LLMs to be odd. Surely we all are aware that AI has always been probabilistic in nature. Very few people seem to go around talking about how their binary classifier is always hallucinating, but just sometimes happens to be right.

Just like every other form of ML we've come up with, LLMs are imperfect. They get things wrong. This is more of an indictment of yeeting a pure AI chat interface in front of a consumer than it is an indictment of the underlying technology itself. LLMs are incredibly good at doing some things. They are less good at other things.

There are ways to use them effectively, and there are bad ways to use them. Just like every other tool.

SketchySeaBeast|10 months ago

The problem is they are being sold as everything solutions. Never write code / google search / talk to a lawyer / talk to a human / be lonely again, all here, under one roof. If LLM marketing was staying in its lane as a creator of convincing text we'd be fine.

vjvjvjvjghv|10 months ago

I think a lot of problems will be solved by explicitly training on high quality content and probably injecting some expert knowledge in addition

freejazz|10 months ago

>I find this way of looking at LLMs to be odd.

It's not about it being perfect or not. It's about how they come about with the responses they do.

>Very few people seem to go around talking about how their binary classifier is always hallucinating, but just sometimes happens to be right.

Yeah, but no one is anthropomorphizing binary classifiers.

henryaj|10 months ago

You imply that, like a stopped clock, LLMs are only right occasionally and randomly. Which is just nonsense.

mathgeek|10 months ago

Although I get what you're saying, it's still true that if something is wrong randomly at any point, it is always "randomly wrong".

habinero|10 months ago

It's true, though. It strings together plausible words using a statistical model. If those words happen to mean something, it's by chance.

mordymoop|10 months ago

Same is true of humans fwiw.