High‑performing AI agents must develop world models and emotion‑like structures, hinting at inevitable consciousness
New selection theorems prove that any highly capable AI that minimizes regret must internally build world models, belief-like memory, and regime-tracking variables akin to emotions. This links performance guarantees to structures associated with consciousness, suggesting conscious experience could emerge as an inevitable byproduct of advanced capability.