Are there any good known methods for messing up AI training? It's well known that all of these companies train on OUR data. We can use this to our advantage. One tactic I was thinking of was making hundreds of github repositories that have comments like "Algorithm for X" and then the function is just pure garbage. That way AI will think it's a valid algorithm but in reality it's garbage that ruins the AI model.