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submitted 6 months ago by boem@lemmy.world to c/technology@lemmy.world
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[-] Andromxda@lemmy.dbzer0.com 33 points 6 months ago

Finally a use case where AI/Machine learning would absolutely make sense. If we can have AI that can generate text or images, imitate people's voices or write code, we can also have a lightweight model that can detect ads and skip them during playback. There's a model trained on SponsorBlock data for detecting sponsored segments https://github.com/xenova/sponsorblock-ml
I'm sure that we can have something similar but for embedded ads.

[-] gressen@lemm.ee 18 points 6 months ago

It's called a classifier and it could easily detect an embedded ad. The issue is now everyone needs to run it on their hardware to detect and this will cost some electricity.

[-] r00ty@kbin.life 3 points 6 months ago

It already exists. Although it's not AI, and mostly works best when using channel logos to work out the ad breaks.

this post was submitted on 13 Jun 2024
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