SkinDeep
Research notes and experiments by Steve Seguin.
SkinDeep started with a simple idea: show people generated images, learn which ones they like, then use that feedback to suggest new ones.
The work now includes small models that return a decision or a click location, experiments that test whether a model can stop processing early, and ways to keep a long job going when there is more text than a model can read at once.