Technical discussion of self-modifying AI via supercompilation and theorem proving

Summary

Technical discussion of self-modifying AI via supercompilation and theorem proving The passage is a purely technical exposition about AI self‑modification techniques with no mention of public officials, agencies, financial flows, or controversial actions. It offers no actionable leads for investigative work. Key insights: Describes a two‑phase method: supercompilation to create decision graphs, then CogPrime cognition to modify them.; Suggests using theorem‑proving to evaluate spacetime complexity and accuracy of AI schemata.; Notes that supercompiled code is opaque to human readers.