
This work formalizes the concept of the Metachronon as a nonlinear temporal phase transition occurring in both human cognition and advanced artificial agents. Derived from the XChronos project, the Metachronon is defined as a discontinuous reorganization of internal models, policies, and interpretative structures. The article applies this framework to recent developments in Google's Sema 2 self-improving agent and Genie 3 world model, establishing the Metachronon as a cross-domain analytical tool connecting phenomenology, systems theory, and machine learning.
Temporal Cognition, Autopoiesis, Genie 3, Nonlinear Learning, Metachronon, Artificial Intelligence, Temporal Phase Transition, Google Sema 2, Cognitive Science, Self-Improving Agents, Complex Systems, XChronos
Temporal Cognition, Autopoiesis, Genie 3, Nonlinear Learning, Metachronon, Artificial Intelligence, Temporal Phase Transition, Google Sema 2, Cognitive Science, Self-Improving Agents, Complex Systems, XChronos
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