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.

Absolute certainty is unattainable ★★★★★—solipsism, the map–territory problem, and perpetual protocol audit keep every claim upgradeable. In SE Press, only star-rated, challenge-ready, versioned warrant supports robust knowledge.

What limits knowledge? This SE Press paper maps the sensory, logical, quantum, and cosmological frontiers of what can be known. The Gradient Reality Model (GRM) and SGF show every answer is star-scored, upgradable, and audit-traceable—perfect knowledge is always just beyond the next horizon.