In a recent statistics post, the company reported on some measures they regard as relevant in the current AI usage debate.
One is the ratio of large draft saves to small draft saves, which is supposed to correlate with the amount of copy-pasted AI content. It peaked shortly after the publication of ChatGPT and then fell back to levels of before that period.
The other one is the number of answerers who post at least three answers per week, seen as a pool of valuable experts. This number dwindled quite fast and remained declining with a large portion of the decline attributed to suspensions. The high number of suspensions were related to implementation of the AI content ban.
Both measures were mainly calculated for Stack Overflow.
At the end of May the company announced internally (exact details are still not known) some kind of ban on the suspension of AI content posters and a large fraction of moderators subsequently went on a strike. Effectively one can assume that since the begin of June it's possible to post AI generated content without getting penalized.
How have these two measures developed since then?
Ideally I'd like weekly data points for the last say 52 weeks and with an update in 2-3 months in order to compare the development.
If there was for example a rebound visible to early ChatGPT time levels, my belief that they are connected with AI content creation would be strengthened. If not, the situation might be more difficult to interpret, but nevertheless it would be interesting to know in my eyes and the data is there, so it's cheap to produce some graphs about it. And with thousands of posts on Stack Overflow every day, the noise influence on the curves should already be limited.