I have been exploring a concept I call Sovereign, Self-Healing AI (SSHAI). Unlike generative models, it operates deterministically at system level, collecting machine-level data without human steering.

A theoretical use case is healthcare. Instead of trial-and-error prescribing, SSHAI could continuously ingest medication outcome data from clinical trials and anonymized patient records, then rank treatments by predicted success probability for an individual patient profile (age, weight, vitals, prior responses, etc).

The doctor would still decide, but with a fact-based ranked advisory that self-heals as new data flows in. Technically this is feasible today using existing APIs and statistical methods, the harder part is access to data and regulatory acceptance.

https://github.com/pablo-chacon/Sovereign-Self-Healing-AI/wi...