ML is pretty common when working with a ton of data, from another article:
To make a map this finely detailed, the team had to cut the tissue sample into 5,000 slices and scan them with a high-speed electron microscope. Then they used a machine-learning model to help electronically stitch the slices back together and label the features. The raw data set alone took up 1.4 petabytes. “It’s probably the most computer-intensive work in all of neuroscience,” says Michael Hawrylycz, a computational neuroscientist at the Allen Institute for Brain Science, who was not involved in the research. “There is a Herculean amount of work involved.”
Unfortunately techbros have poisoned the term AI 🥲
They have public revisions of every answer and consider deleting good content “vandalism” since it violates license, so it’s no surprise that they’d keep it all
If they were to set up an official mirror it would be automatic, so I don’t think there’s any real way to avoid that problem with their current plan. But you’re right! Sorry for the confusion
