HNx1

It's more like suppose you enter "I went to the shops yesterday". The model (right now the generation is relying on a bad model) will output something a bit like "Yesterday, I went shopping" or "I went shopping yesterday". Different output, but similar.

I did share it in a separate thread, but I developed an adaptation of the logit biasing idea that directly integrates identity proof into the language model output. I think it very directly addresses the challenge of language/diffusion model authenticity.

github.com/HNx1/IdentityLM