4 ms·
It doesn't really seem to be much of a problem. Data quality is important, but there is plenty of incorrect information in the training data whether or not it's
by astrange 3y ago
It doesn't really seem to be much of a problem. Data quality is important, but there is plenty of incorrect information in the training data whether or not it's AI generated. And training on synthetic data works fine.
I see a lot of uninformed people claiming this is going to doom AI though.
- shermantanktop 3y agoI'm no AI expert, but I'm not uninformed. Can you explain what "informed" means in this context? I'm aware of the use of synthetic data for training in the context of a curated training effort, with HITL checking and other controls. What we're talking about here is a world where 1) the corpus is polluted with an unknown quantity of unlabeled AI-generated content, and 2) reputational indicators (link counts, social media sharing/likes) may amplify AI-generated content, and lead to similar content being intentionally AI-generated. At that point, can the incorrect info in the training set really be controlled for using noise reduction or other controls?