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[-] jsomae@lemmy.ml 8 points 2 weeks ago* (last edited 2 weeks ago)

I'd just like to point out that, from the perspective of somebody watching AI develop for the past 10 years, completing 30% of automated tasks successfully is pretty good! Ten years ago they could not do this at all. Overlooking all the other issues with AI, I think we are all irritated with the AI hype people for saying things like they can be right 100% of the time -- Amazon's new CEO actually said they would be able to achieve 100% accuracy this year, lmao. But being able to do 30% of tasks successfully is already useful.

[-] Shayeta@feddit.org 9 points 2 weeks ago

It doesn't matter if you need a human to review. AI has no way distinguishing between success and failure. Either way a human will have to review 100% of those tasks.

[-] jsomae@lemmy.ml 6 points 2 weeks ago

Right, so this is really only useful in cases where either it's vastly easier to verify an answer than posit one, or if a conventional program can verify the result of the AI's output.

[-] Outbound7404@lemmy.ml 1 points 2 weeks ago

A human can review something close to correct a lot better than starting the task from zero.

[-] DreamlandLividity@lemmy.world 3 points 2 weeks ago

It is a lot harder to notice incorrect information in review, than making sure it is correct when writing it.

this post was submitted on 07 Jul 2025
166 points (97.2% liked)

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