3 ms·
Sorry if this is "moving the goal post", but I wouldn't call looking at ngram frequencies for AI. Producing a heatmap doesn't tell you why something is suspicio
by mrweasel 2y ago
Sorry if this is "moving the goal post", but I wouldn't call looking at ngram frequencies for AI. Producing a heatmap doesn't tell you why something is suspicious, but it's obviously better than telling you nothing.
In any case, if you where to use LLMs, or other black box solutions, you'd have to yank those out, if you where met with a requirement to explain why something is suspicious.
- viraptor 2y agoIt's literally the explanation. The only identification we have now is "this local part is often used by an AI model" and "this global structure is often used by an AI model". There's nothing more fancy about it. The heatmap would literally just point out "this part is suspiciously unlikely" - that's the explanation because that's the classification systems use.