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.
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.
Give it 5 more years in hardware performance improvements and software/model optimization and I don’t see a problem. The important part is that improvements are made public for everyone to use and improve upon instead of letting openai and microsoft take the whole cake
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.
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.
It already exists. Although it’s not AI, and mostly works best when using channel logos to work out the ad breaks.
It’s hard to run AI on phones and low-end hardware though. It’s not that easy.
Give it 5 more years in hardware performance improvements and software/model optimization and I don’t see a problem. The important part is that improvements are made public for everyone to use and improve upon instead of letting openai and microsoft take the whole cake