nilsherzig

https://gist.github.com/nilsherzig/b8266d001c5c01bdb3d81d209...

Here is a detailed explanation from Pangram how their scoring works https://www.pangram.com/research/how-it-works

as an extension so you can continue to comment and use hn as usual

Im trying to get something cheaper to work, Pangram has some nice docs on how to build something like their service https://github.com/pangramlabs/EditLens, they even have training data online.

The harm a missclassification carries is much lower for a hn post than a masters thesis, so we might be fine with a worse model.

OPs solution does more than keyword filtering. But its still about filtering out "content about ai" not filtering out "ai written content".

Instead of filtering keywords this ranks the content using Pangram. But it's also pretty effective at filtering content about AI. Turns out that a lot of LLM tooling projects have LLM written project descriptions/blog posts.

It's amazing to see how many of the "AI hurts my brain" posts are apparently written by an LLM.