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.
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 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