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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.
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I 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.

I would argue that in a small way, this post _is_ about AI, so it wouldn't be a false positive.

I 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?

It's not an LLM.

Why use big program when regex do trick?


You can get the best of both worlds with a small embedding model

Show me an embedding model that runs as fast as an optimized regex engine and I'll buy you a beer.

Master of efficiency



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