I tried to create a latent context layer that is a warmed up version of a small LDA Topic model that is injectable into the context window via memories or system prompts.

I tried to create a latent context layer that is a warmed up version of a small LDA Topic model that is injectable into the context window via memories or system prompts. Ideally, this enhances the human to AI interaction. The mission statement follow's David Shapiro's early template instruction flow and aims to encapsulate the generality of intelligent systems. It is missing its current development related to Omega "opposite toggling" designed to induce confusion and boolean toggles in a context and Yann's JEPA relationships. I'm not sure about the pdfs developed to describe the GSL-Jepa-Omega project, but I thought I'd atleast share the GSL prototype from a few years ago as I think Jev could thrive with a latent context layer like this prewarmed.