Yeah, it doesn't have to be excellent to scam people.
I think DeLong made a good case that it's not actually good enough for expert work (or maybe even for good teaching) - yet. But for the monsters, it only has to be good enough to get people to give them money in excess of the costs.
Presumably, most of the cost is in the training, and presumably MS and Google and the rest of the big players are going to keep their server farms of training data locked up. But anyone who wants to can scrape the web and steal everything that isn't locked down, so as storage continues to get cheaper, that will be less of a barrier.
A lot of this stuff is still buzz-wordy and click-baity, but there is some useful substance out there.
Phys.org:
Cheers,
Scott.
Presumably, most of the cost is in the training, and presumably MS and Google and the rest of the big players are going to keep their server farms of training data locked up. But anyone who wants to can scrape the web and steal everything that isn't locked down, so as storage continues to get cheaper, that will be less of a barrier.
A lot of this stuff is still buzz-wordy and click-baity, but there is some useful substance out there.
Phys.org:
The cosmos would look a lot better if Earth's atmosphere wasn't photo bombing it all the time.
Even images obtained by the world's best ground-based telescopes are blurry due to the atmosphere's shifting pockets of air. While seemingly harmless, this blur obscures the shapes of objects in astronomical images, sometimes leading to error-filled physical measurements that are essential for understanding the nature of our universe.
Now researchers at Northwestern University and Tsinghua University in Beijing have unveiled a new strategy to fix this issue. The team adapted a well-known computer-vision algorithm used for sharpening photos and, for the first time, applied it to astronomical images from ground-based telescopes. The researchers also trained the artificial intelligence (AI) algorithm on data simulated to match the Vera C. Rubin Observatory's imaging parameters, so, when the observatory opens next year, the tool will be instantly compatible.
While astrophysicists already use technologies to remove blur, the adapted AI-driven algorithm works faster and produces more realistic images than current technologies. The resulting images are blur-free and truer to life. They also are beautiful—although that's not the technology's purpose.
[...]
Cheers,
Scott.
