Why AI detectors can’t solve the problem they were built for

The useful part

Even if the words were 100% human-generated, I thought anyone reading might raise an eyebrow if they saw them and wonder, Is this AI? An analysis by Graphite found that articles now account for roughly half of everything published online, running dead even with the human-written share. Even though the presence of AI text doesn't necessarily mean the content is "slop," most people use it as a proxy for quality, or, more precisely, whether or not it's worth their time.

How it works

• Recently, AI detectors have received a lot of attention because they're ostensibly supposed to fix, or at least mitigate, the problem.
• Second, the presence of tells—even ones that are human-originated—is still a problem, and it plays out in the reader's mind, where no detection software gets a vote.
• The trial of Stanley Druckenmiller That third point was thrust into the spotlight this past week when billionaire Stanley Druckenmiller told <a href="https://www.notus.org/media/stanley-druckenm...

What to take from it

First, they can be unreliable, sometimes producing false positives. Third, there isn't agreement on what the exact problem even is.

Example or evidence

• Synthetically generated articles, social posts, and emails are everywhere.