this post was submitted on 12 Aug 2026
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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.
Unintuitively, detecting the ads is not the hard part of making an ad blocker. The really hard part is removing the ad without the website detecting that you removed it. So even if you had a perfect lightweight model that can detect ads, you still have the hard part of making the ad go away.