this post was submitted on 12 Aug 2026
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[โ€“] Supercrunchy@programming.dev 31 points 2 weeks ago (8 children)

Let me preface this by saying that I am generally against AI and I hate LLMs being pushed everywhere, but I currently hate facebook and social media even more than AI.

I think that ad blocking might actually be a good use of a model trained to detect ads: AI models are "black boxes" and it would make it difficult for facebook to find out precisely how the detection works and workaround it. Imagine a tiny classifier running locally, whose only job is to look at a post html or resulting rendered pixels and detecting if it's an ad or not, and then generating the blocking rules.

It would be quite cool, because it would work on any website without an explicit list of ad-blocking rules that somebody needs to maintain.

[โ€“] Pika@sh.itjust.works 1 points 2 weeks ago

Honestly, I would use that even if it meant an additional gig and a half to two gigs of ram usage to run the browser. I'm already having to allocate one to four gigs for the browser anyway, so might as well.

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