We trained a model to predict AI-written blog posts from structural features - and discovered the shape of slop.
On posts it had never seen, it told AI and human apart with 98% accuracy, getting only 19 of 1,740 wrong.
Paper and code: https://t.co/knexA6QVyE
You're sitting on a content goldmine.
Your PostHog data can be turned into original studies that build authority, get cited by LLMs, and get read by potential customers.
Problem is, that seems like a lot of work.
Fortunately, Nat from our team created a step-by-step guide for how to do it:
If you're going to trust PostHog to make your product self-driving, you should see that we're doing the same thing.
So, here's seven examples of when we made our own product self-driving.
Self-drivingception, if you will: