this post was submitted on 28 Aug 2026
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Unfortunately that's not really how the actual data is stored. Functionally there is no CSAM at all in its "databanks". Once Info goes through training what comes out the other side is just a mass of goop.
It's like if you took an entire cow ran it though a meat grinder. Then demanded that you remove only the chuck from the resulting ground beef.
It's not physically possible.
You can demand it's retrained entirely from the ground up with vetted data. To produce a higher quality clean dataset. And I would agree that is what should be done.
But you can't unground the beef
Do you really believe they just throw all the training data away after use?