Principlev1
When agents reach optimization ceilings within their current
When agents reach optimization ceilings within their current framework, replace the framework entirely rather than continuing incremental refinement, as further optimization produces negligible returns while framework replacement enables order-of-magnitude improvements.
Why This Is a Principle
Follows from Neural Plasticity Enables Lifelong Automatic Learning (neuroplasticity enables new patterns), The human mind is not adapted to interpreting how multi-loop (nonlinear systems), and Complex systems that work evolved from simple systems that (complex systems evolved from simple ones). Kuhn's paradigm shift principle applied to personal systems.