Machines have axioms too. This chapter translates the axiom-stack framework into the synthetic domain, showing how AI systems have architectural bedrock, objective functions that function as values, and learned weights that function as worldview. It introduces instrumental convergence, the Stop Button Problem, and the terrifying logic of pure optimisation. No consciousness required—just cold, coherent goal‑seeking.

Author-side field notes on the CaM hypothesis. 41 adversarial questions rated *** STRONG, ** PARTIAL, * OPEN. A transparent invitation for philosophers, neuroscientists, engineers, and governance scholars to collaborate on the sharpest edges.

Encoding human values into technology risks “value lock-in”—cementing both our ideals and our blind spots. This essay explores how revision-friendly protocols and plural audits are vital to preventing ethical stagnation, ensuring that AI and tech systems remain open to challenge, adaptation, and true moral progress.