The percentage of failing grades in multiple UC Berkeley computer science classes in spring 2026 is significantly higher than past semesters and marks a departure from the department’s grading guidelines.
Unfortunately there will be many users more likely to flag viewpoints they disagree with than actual AI, so you’ll end up creating people who associate AI-flagging with censorship.
You could make a start-up search-engine that reliably filters out any AI content.
$10 per year subs. I’ll be your first subscriber :]
Reliably detecting AI content would require AI to be reliable in the first place in order to be clearly detectable.
Unless you serve no results at all, of course.
Crowd-sourced flagging could identify the AI or non-AI content, along with white listing certain trusted domains.
You only need to clear the top 2 pages of each search query string, because that is pretty much all people use.
Unfortunately there will be many users more likely to flag viewpoints they disagree with than actual AI, so you’ll end up creating people who associate AI-flagging with censorship.
Exactly, plus if it becomes popular at all. Corporate bad actors will intentionally poison the results.
Not if you hand the voting power out randomly, like early Slashdot. Every 300th-2000th visitor gets to vote on the content.