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CEO of Google Says It Has No Solution for Its AI Providing Wildly Incorrect Information (futurism.com)

submitted 5 months ago by [email protected] to c/[email protected]

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You know how Google's new feature called AI Overviews is prone to spitting out wildly incorrect answers to search queries? In one instance, AI Overviews told a user to use glue on pizza to make sure the cheese won't slide off (pssst...please don't do this.)

Well, according to an interview at The Vergewith Google CEO Sundar Pichai published earlier this week, just before criticism of the outputs really took off, these "hallucinations" are an "inherent feature" of AI large language models (LLM), which is what drives AI Overviews, and this feature "is still an unsolved problem."

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[–] [email protected] 338 points 5 months ago (65 children)

They keep saying it's impossible, when the truth is it's just expensive.

That's why they wont do it.

You could only train AI with good sources (scientific literature, not social media) and then pay experts to talk with the AI for long periods of time, giving feedback directly to the AI.

Essentially, if you want a smart AI you need to send it to college, not drop it off at the mall unsupervised for 22 years and hope for the best when you pick it back up.

[–] [email protected] 2 points 5 months ago* (last edited 5 months ago) (1 children)

The truth is, this is the perfect type of a comment that makes an LLM hallucinate. Sounds right, very confident, but completely full of bullshit. You can't just throw money on every problem and get it solved fast. This is an inheret flaw that can only be solved by something else than a LLM and prompt voodoo.

They will always spout nonsense. No way around it, for now. A probabilistic neural network has zero, will always have zero, and cannot have anything but zero concept of fact - only stastisically probable result for a given prompt.

It's a politician.

[–] [email protected] -3 points 5 months ago (1 children)

They will always

for now.

[–] [email protected] 3 points 5 months ago* (last edited 5 months ago)

No. another type of ML algorithm could, but not an LLM. They do not work like that.

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