rwilliamspbg-ops/Sovereign-Mohawk-Proto

This project combines established techniques (federated learning, BFT, zk-SNARKs, PQC) but shows critical signals of non-production maturity: 4 stars, zero forks, no activity velocity, 56-day age, and no discernible user adoption. The README describes ambitious scope (10M nodes, 10ms zk-SNARKs) but lacks evidence of validation—no benchmarks, no deployment references, no community engagement. The 2026 PQC migration timeline suggests speculative design rather than battle-tested architecture. High frontier risk because (1) OpenAI/Anthropic/Google all invest in federated learning infrastructure, (2) post-quantum cryptography is a mainstream research priority across frontier labs, and (3) BFT consensus is commodity blockchain infrastructure. A frontier lab could absorb this architectural pattern as a module without friction. The Go+Python dual SDK and TPM integration hints at real implementation work, but absence of stars/forks and zero velocity indicates either incomplete development, failed adoption, or private/internal-only deployment. Not defensible as an open-source asset; would be subsumed into any enterprise federated-learning platform that frontier labs are already building.