A U.K. woman was photographed standing in a mirror where her reflections didn’t match, but not because of a glitch in the Matrix. Instead, it’s a simple iPhone computational photography mistake.
A U.K. woman was photographed standing in a mirror where her reflections didn’t match, but not because of a glitch in the Matrix. Instead, it’s a simple iPhone computational photography mistake.
I’m still waiting for the first time somebody uses it to zoom in on a car number plate and it helpfully fills it in with some AI bullshit with something else entirely.
We’ve already seen such a thing with image compression.
https://www.zdnet.com/article/xerox-scanners-alter-numbers-in-scanned-documents/
This was important in the Kyle Rittenhouse case. The zoom resolution was interpolated by software. It wasn’t AI per se, but the fact that a jury couldn’t be relied upon to understand a black box algorithm and its possible artifacts, the zoomed video was disallowed.
(this in no way implies that I agree with the court.)
I watched that whole court exchange live, and it helped the defendant’s case that the judge was computer illiterate.
As it usually does. But the court’s ineptitude should favor the defense. It shouldn’t be an arrow in a prosecutor’s quiver, at least.
Except it was. All the “AI” junk being hyped and peddled all over the place as a completely new and modern innovation is really just the same old interpolation by software, albeit software which is fueled by bigger databases and with more computing power thrown at it.
It’s all just flashier autocorrect.