• irotsoma@lemmy.world
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    1 year ago

    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.

    • Cethin@lemmy.zip
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      1 year 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.