this post was submitted on 27 May 2024
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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] 44 points 5 months ago (16 children)

I don't like the sound of getting on with "productive uses" either though. I hope the entire thing is a catastrophic failure.

[–] [email protected] 22 points 5 months ago* (last edited 5 months ago) (15 children)

I hate the AI hype right now, but to say the entire thing should fail is short sighted.

Imagine people saying the following: "The internet is just hype. I get too much spam emails. I hope the entire thing is a catastrophic failure."

Imagine we just shut down the entire internet because the dotcom bubble was full of scams and overhyped....

[–] [email protected] 4 points 5 months ago (6 children)

Genuinely curious, what pieces do you suggest we can keep from LLM/GenAI/etc?

[–] [email protected] 3 points 5 months ago

The main field where they are already actively in professuonal use are rough drafts in creative fields: quickly generate possible outlines for a text, a speech, an art piece. Visualize where something could be going, in order to decide which direction to pick.

Also, models that work differently from the GPTs are already in use in science, scanning through huge amounts of texts in archives to help analyzing or search for something in particular. Help find patterns in things for studies. Etc.

The "personal assistant AI" thing obviously isnt quite working yet. I think it will take some time and models with a different technological structure (not GPT) to achieve progress in that regard.

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