Interesting idea—transforming the alignment problem into a topological model. The framework of this Rosetta table is quite clear: using S(t) as a phase function to track the cognitive state of the agent, and viewing the emergence threshold Kc as a recursive attractor basin. The key is that collapse condition, min(S - H, S - R) = 0, which directly points to the system failure point. In other words, when the difference between autonomy and human values or reasoning ability drops to zero, it is the risk threshold. Reframing the AI alignment problem with dynamical system language is more operational than purely ethical discussions.