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

submitted 3 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] 205 points 3 months ago (42 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] 3 points 3 months ago (1 children)

They could also perform some additional iterations with other models on the result to verify it, or even to enrich it; but we come back to the issue of costs.

[–] [email protected] 8 points 3 months ago* (last edited 3 months ago) (1 children)

Also once you start to get AI that reflects on its own information for truthfulness, where does that lead? Ultimately to determine truth you need to engage with the meaning of the words, and the process inherently involves a process of self-awareness. I would say you're talking about treaching the AI to understand context, and there is no predefined limit to the layers of context needed to understand the truthfulness of even basic concepts.

An AI that is aware of its own behaviour and is able to explore context as far as required to answer questions about truth, which would need that exploration precached in some sort of memory to reduce the overhead of doing this from first principles every time? I think you're talking about a mind; a person.

I think this might be a fundamental barrier, which I would call the "context barrier".

[–] [email protected] 1 points 3 months ago

Also once you start to get AI that reflects on its own information for truthfulness, where does that lead?

A new religion

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