Alignment Solution?
Verifiable and Unverifiable Language as an Alignment Criterion: A rho/epsilon Architecture for AI Systems Zachary Alexander Cherchian Independent Scholar, San Antonio, Texas zachary.cherchian@my.utsa.edu 2026, First Edition Abstract This paper proposes a novel alignment criterion for artificial intelligence systems, grounded in an epistemological distinction that precedes language itself: the difference between...
Apr 121