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We put the Thing That Can't Do Numbers™ in your spreadsheets (infosec.pub)

submitted 2 weeks ago by irelephant@programming.dev to c/iiiiiiitttttttttttt@programming.dev

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[–] MonkderVierte@lemmy.zip 71 points 2 weeks ago* (last edited 2 weeks ago) (11 children)

To be fair, MS says you shouldn't use it for caculations.

"Why is it there then?" No clue.

[–] Blackmist@feddit.uk 26 points 2 weeks ago (5 children)

The example I saw them use was turning one line text reviews into a simple positive or negative so you can count them.

So it could be useful for things like that, even if we ignore the "then why not just ask for the star rating" that probably went along with that review...

MS is now an AI company that sells to excited bosses who would love to fire somebody somewhere to save a few bucks.

[–] T156@lemmy.world 10 points 2 weeks ago* (last edited 2 weeks ago) (2 children)

At the same time, that sounds like something you'd just use old-fashioned sentiment analysis for.

It's less accurate, but also far less demanding, and doesn't risk hallucinating.

[–] lord_ryvan@ttrpg.network 1 points 6 days ago* (last edited 6 days ago) (1 children)

It’s less accurate

and doesn’t risk hallucinating

I might be mistaken, but don't these two lines mean the exact opposite in this context?

Is AI more often right, or more often wrong?

[–] T156@lemmy.world 1 points 6 days ago

Both, because the way it's right and wrong are different.

Sentiment analysis might misclassify some of the data, but it doesn't risk making things up wholescale like an LLM would.

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