A new paper challenges AI’s "polysemanticity" theory, showing agents improve interpretability and alignment. Nick Cammarata’s findings suggest agents may better handle ambiguous language than current models. This could reshape how AI systems are evaluated and aligned with human intent.
Opening Kapyn…