3 ms·
I'm curious to find out if they're using a model to detect AI content. I'd be more amused than disappointed. But, alas, potato.
by kylecazar 4mo ago
I'm curious to find out if they're using a model to detect AI content. I'd be more amused than disappointed. But, alas, potato.
- chilipepperhott 4mo agoIt's not an LLM. Why use big program when regex do trick?
- kylecazar 4mo agoMaster of efficiency
- deleted 4mo ago[deleted]
- Bolwin 4mo agoYou can get the best of both worlds with a small embedding model
- chilipepperhott 4mo agoShow me an embedding model that runs as fast as an optimized regex engine and I'll buy you a beer.
- Bolwin 4mo agoProbably not as fast as a simple regex but static embedding models can get stupid fast e.g https://www.flowercomputer.com/news/fast-static-embedding/ https://www.flowercomputer.com/news/fast-static-embedding/
- ofalkaed 4mo agoI got a partial load and what it looks like it does is just search each submission for a list of key words and discards any that hits, so it would discard this submission.
- chilipepperhott 4mo agoI would argue that in a small way, this post _is_ about AI, so it wouldn't be a false positive.
- ofalkaed 4mo agoI was not suggesting that it would be a false positive, I was suggesting that this will filter out many submissions that would be of interest to those that want less AI on HN. This would flag a blog that has nothing to do with AI if some random person mentioned AI in the comments of that blog post, right?