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 out

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