The problem with (good) hashes is that when you change the input even slightly (maybe a different compression algorithm is used), the hash changes drastically
The problem with (good) hashes is that when you change the input even slightly (maybe a different compression algorithm is used), the hash changes drastically
An angel fell from the sky!
Me at my fourth rodeo:
This ain’t my first rodeo
It’s fixed because we said so!
There are many definitions of AI (eg. there is some mathematical model used), but machine learning (which is used in the large language models) is considered a part of the scientific field called AI. If someone says that something is AI, it usually means that some technique from the field AI has been applied there. Even though the term AI doesn’t have much to do with the term intelligence as most of the people perceive it, I think the usage here is correct. (And yes, the whole scientific field should have been called differently.)
Same here, but the Piped link seems to work:
I think that downsizing the scene to like 8x8 pixels (so basically taking the average color of multiple sections of the scene) would mostly work. In order to be undetected, the ad would have to match (at least be close to) the average color of each section, which would be difficult in my opinion: you would need to alter each ad for each video timestamp individually.