I'm not naive enough to think that these companies don't already have some internal detection tools, but they clearly are not being used enough. Lately researching anything using agents has been a pain (especially if the query leads up to buying intent) - the sources quoted are often AI slop, which are then used to deterministically argue a point. On the first challenge to logic, the reply is...
about your note - it's a purely mathematical eq. if some text is 100% AI, how it is shuffled/sliced (get AI to slice/re-order sentences so that it still makes sense; if you want to control for human input) should not change the score significantly.
and - Yes ofcourse, to humans reading - it would make a dramatic difference. But when tools claim 'we give you a sentence level breakdown', it implies a degree of isolated analysis. So without breaking sentence units, it would seem fair to play around to check how much a score changes. For instance, I tried a 75 word piece on a popular detector, the last 25 words came back as AI and first 50 as assisted (roughly). When I clipped the 25 and put them at the front of the paragraph, they came back as human. Not sure if you get what I mean?
Word substitution does change meaning, but here's how I see it - if you change 2/100 words. but the score moves 25%, it sounds like a highly sensitive model, which could also be interpreted as a result based on weak signals. The point here is simply that gimmicks like percentages should be taken as gimmicks, unless you can find more robust ways to substantiate the scores.
Last I counted there were 50+ AI text detectors, not including the humanizers that also sell AI detection (thank you hypocrisy). What's even more surprising is the AI built meters and percentage scores they provide when you enter a text. A load of bollocks if you ask me. Working on AI linguistics if there is something you learn, anything is possible with the right technique and framework. I'm...
t9xt.com - 4 letters, a .com, short and a meme (not in [redacted]'s opinion)t9xt.com for a AI text detector - might find cool at first but search engines heavily penalised us for it. but why? most search engines use a modified version of Damerau–Levenshtein algorithm. This is super useful for spelling errors, but also misclassifies some words that are intentionally spelt differently -...
It's cursor, but sits in your browser. Built with Rust.