this post was submitted on 27 Feb 2026
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Eh, I know this is the anti-AI instance, but reading and interpreting things like that is something you can verifiably get AI to do 90% of the time.
Because 90% accuracy is acceptable for financial institutions ...
I've got an idea. If 90% of AI's output is accurate, just have humans review the 10% that will be inaccurate.
(Yes I am an AI expert, how did you know)
Which outputs are accurate, and which ones are inaccurate? How could you tell? What steps did you take to verify accuracy? Was verifying it a manual process?
That's easy. You just get a second AI to ask the first AI if their responses were accurate or not
(/s)
This is unironically what I've seen people try to do, except they assume the second AI is correct.
Unrelated, but this is how GANs work to some extent. GANs train during the back-and-forth though, while LLMs do not.
No, it's really not. Thus the 6000 remaining employees.
(Assuming this is a significant part of their business)
Hell USPS has been using machine learning (yes a kind of AI but not the kind they are implying) for years to do that kind of thing.
Kind of
They've had several address resolution centers around the country, where reviewers look at mail and figure out it's address. They don't physically handle the mail, it's an image on a screen.
Iirc they've been doing it this way since the 70s
No? For everything they can they just use OCR and then send it on its way without a human having ever seen it sometimes. If the hand writing is bad enough that the machine can't figure it out that's where the human reviewers come in.