>It's the amount of bad data relative to the overall dataset that matters,
Isn't that the opposite of the findings here? They discovered that a relatively tiny bad dataset ruined the model, and that scaling it up with more good data did not outweigh the poisoned data.
Isn't that the opposite of the findings here? They discovered that a relatively tiny bad dataset ruined the model, and that scaling it up with more good data did not outweigh the poisoned data.