Attractors - Interpretability

In experimental approach to operationalizing my conceptual ideas about what attractors are. By analyzing any conversation, we formed "attractor basins" as conceptual neighborhoods where related ideas cluster—words like "technical" encompass research, coding, and even unexpectedly connect with terms such as "meta" and "wragnler." Dynamically and autonomously updated at each conversation end, the attractor was given to the model as context so conversation tone and stability remained stable over time. While version 2 and 3 failed, version 1 remained stable for the longest. Going back, I would change a few things, including adjusting some of the calculations per concept, and defining when a new basin should occur.