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- 6Good point. You may also want to add that as the awareness that copy&paste GPT post are quickly identified, your average user would then start to try to edit their post so that they no longer are straight copy in an attempt to evade detection. So, the fact that even GPT only posters are starting to edit their posts before posing seems just a natural "arms race" between the ones trying to detect generated content and the ones trying to post itꓢPArcheon– ꓢPArcheon2023-06-08 14:29:57 +00:00Commented Jun 8, 2023 at 14:29
- I do not believe the other conclusion is valid either. The baseline that is measured against, changes as people with previously little keylogger-observable input change their behaviour. E.g. right now the best text editor to reduce my spelling and grammar problems is in my browser, so that is where I type. I imagine with many new tools released, that recently also changed for some non-negligible fraction of the user base.anx– anx2023-06-08 19:58:02 +00:00Commented Jun 8, 2023 at 19:58
- I would simply like to see the ratio of short draft to long draft answers over time for at least the last year. If there is indeed a sudden change in GPT onset and a return to the mean later I'd conclude that there is an effect and that it's more likely due to less copy and paste answers. I don't believe much in people polishing their GPT answers more often although that could happen if course.NoDataDumpNoContribution– NoDataDumpNoContribution2023-06-08 21:55:49 +00:00Commented Jun 8, 2023 at 21:55
- @Trilarion, you make the same mistake as SE did in their analysis: it is required to take some time to apply formatting: code blocks, marked lists, ans so on. And number of drafts in this case is. Similar to such of an answer with small description. As a result your threshold of "obviously chatgpt" will be very low. Plus it's completely missing all the tools imitating human input by partial copying text into textbox.markalex– markalex2023-06-09 02:45:55 +00:00Commented Jun 9, 2023 at 2:45
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