Principlev1

Allocate cognitive improvement effort to meta-schemas rather

Allocate cognitive improvement effort to meta-schemas rather than individual schemas to achieve multiplicative returns through compound propagation across all schemas governed by the upgraded meta-schema.

Why This Is a Principle

This is the core principle of L-0340 and derives from Schemas as Knowledge Organization Structures (schemas organize knowledge and guide processing) and Expertise as Domain-Specific Schema Organization (expertise consists of accumulated domain-specific schemas). The principle prescribes where to invest improvement effort: at the meta-level rather than object level. This follows from the structural fact that meta-schemas govern multiple schemas - improving the governor improves everything it governs. Brain as Hierarchical Prediction Machine (hierarchical prediction machine) provides additional grounding for why higher-level improvements cascade down. This is actionable, general, and represents the central insight about leverage in cognitive systems.

Source Lessons

L-0340

Upgrading the operating system is the highest leverage work

Improving your meta-schemas improves everything built on top of them.

L-0321

A meta-schema is a schema about schemas

You can build models of how your models work — this is the beginning of recursive self-improvement.

Connections

Derived From (5)

AxiomSchemas as Knowledge Organization Structures AxiomExpertise as Domain-Specific Schema Organization AxiomBrain as Hierarchical Prediction Machine AxiomYou can design your own cognitive processes rather than AxiomDouble-loop learning requires questioning the framework

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