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One of the projects I have in mind is to explore some kind of "offensive privacy", where the focus would not be on not being trackable, but on your computer spewing random bullshit and behavior into the algorithm to confuse it, and have it learning on behavior that's not really true, but only generated. This will enable you to kind of fight back and if done by enough users even reduce the effectivness of ML algorithms, since they would be learning bullshit. Unfortunately, the scale required to effectively affect the learning process of ML models would be enormous, so it's not really feasible, but I think it's still better than just "staying hidden".
With the advances in AI, creating a tool like that, that would simulate several random user behaviors on your IP/fingerprint, shouldn't really be that hard.
And as an added bonus - if it clicks on adverts, it's costing someone money. Fuck corporations.
This is straight out of the book Little Brother by Cory Doctorow. Love the idea.
You talking about a more extreme version of something like AdNauseam?
Exactly! AdNauseam is my inspiration, unfortunately I dont use it right now because it doesnt work with my setup, due to Mullavad in combination with PiHole being too good at their job, so it cant really click on the adds even if it wanted to.
It would ideally require a solution that uses its own DNS server, so you can keep on using PiHole, and prefferably avoids living in your browser so you can keep it locked down for privacy.