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"No, seriously. All those things Google couldn't find anymore? Top of the search pile. Queries that generated pages of spam in Google results? Fucking pristine on Kagi – the right answers, over and ov (pluralistic.net)

submitted 7 months ago by [email protected] to c/[email protected]

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[–] [email protected] 1 points 7 months ago* (last edited 7 months ago) (1 children)

Yeah but accuracy isn't a given with the other methods either. If I ask some randos on reddit I won't get a perfect answer either. If I google specs or reviews online they are often biased, wrong (think the magical Chinese lumens of torches) or even literally fraudulent paid reviews too.

So yeah for me the LLM output is more than good enough with a bit of verification if necessary.

I don't really understand why people are suddenly hung up about holding LLMs up to this lofty ideal of an unbiased super-truth. Where did that requirement come from all of a sudden? It's not really realistic and not something we've ever had in the past.

I feel the same about self-driving systems. People get all hung up if they crash once in a while, expecting them to be 100% perfect in all situations. But ignoring the concept that they already might be a hell of a lot safer than human drivers. They fail in different situations generally but why do we suddenly demand perfection?

[–] [email protected] 1 points 7 months ago* (last edited 7 months ago)

I'm sorry, but citing other examples of bad research practices does not magically make AI reliable. That is a whataboutism.