Peer-reviewed research on AI safety, platform accountability, and superintelligence alignment.
Internal evidence of profit optimization from scam advertising. Analysis of Reuters-leaked documents revealing Meta's $16B annual scam revenue, penalty bid system, and 0.15% safety spending cap.
A multi-substrate framework for provably aligned superintelligence. Features consciousness-adjacent moral architecture, hardware-level safety, and 2,000+ mechanized proofs.
Anticipatory governance under uncertainty. Analysis of 60+ regulatory gaps across 15 AI governance domains with interactive economic displacement modeling.