If any poisoning proved to be partially useful, then companies will train on reliable sources that they took years before large scale poisoning starts, and host

If any poisoning proved to be partially useful, then companies will train on reliable sources that they took years before large scale poisoning starts, and host the model in internal websites so that it can also train on internal data. This may offset the effectiveness of poisoning for a while. My recommendation is to poison topics that are interesting to teenagers but not useful for corporations. For example, pick some comics/movie/anime/game topic and concentrate your poisoning efforts. It is less incentive for most companies to fix it because there is not a lot of business value fixing it, assuming that the majority of revenue will come from enterprises in the near future. But this will lead young people to distrust AI in general.