you are viewing a single comment's thread
view the rest of the comments
[–] 18 points 2 years ago (1 child)

A lot of these relied on common mistakes that "AI" algorithms make but humans generally don't. As language models are improving, it's harder to detect.

  • source
  • hideshow 2 child comments
  • [–] 14 points 2 years ago

    They're also likely training on the detector's output. That why they build detectors. It isn't for the good of other people. It's to improve their assets. A detector is used to discard some inputs it knows are written by AI so it doesn't train on that data, which leads to it out competing the detection AI.

  • source
  • parent