From Medium to Attractor :The Hypotheses of the Theory of Attractor Horizons in Light of the Findings of 2026

This study relates the findings of the second half of 2026 to the hypotheses of the Theory of Attractor Horizons. It examines how new results in machine-generated knowledge and the direct coupling of artificial systems give concrete empirical substance to the theory's predictions. The emergence of autonomous machine communication forms further expands the empirical field of inquiry. The distinctions established in the formal core between cognitive performance and organizational reachability, and between dynamic and structural limits, remain decisive. The findings show that machine-generated knowledge can already be formally verified and used in further work without humans having to reconstruct its genesis in full. Direct transfers of internal model states provide a concrete test case for H1. Machine communication forms reveal developments relevant to H3. ARC-AGI-3 documents the rapid disappearance of a human performance advantage and the influence of execution architecture. The theory's central prediction can thus be subjected to concrete empirical investigation: whether artificial systems can reach attractors structurally inaccessible to the human horizon