The Last Mile of Capitalism
For much of economic history, converting accumulated knowledge into context-specific operational action depended heavily on human interpretation.
The Human Interpretation Bottleneck
Writing was one of the great productivity multipliers of civilization because it allowed representations of accumulated experience and formal knowledge to survive individual memory. Books, laws, standards, formulas, technical documentation, and scientific literature preserved models, model descriptions, constraints, and evidence across generations.
Yet in many domains the final interpretive step remained largely human. Someone still had to read the material, understand the relationships, reconstruct a model of the situation, and decide what to do.
This helped make experienced people economically scarce in activities where internalized domain models were difficult to acquire. Part of their value came from carrying already-formed internal models that others might need years of exposure and study to develop independently.
Software Solved Only Part of the Problem
Software made models executable, but only after people had converted domain understanding into code. The expensive interpretation step remained upstream. New systems often required analysts, specialists, and developers to reconstruct the domain model again.
LLMs Change the Bottleneck
LLMs are trained on enormous bodies of written material and can also analyze targeted sources, allowing them to propose structures that recur across those materials. They can recognize recurring entities, processes, states, conditions, rules, actions, and results.
This creates the possibility of moving model reconstruction from artisanal human work toward systematic production.
The Last Mile
The remaining challenge is to convert probabilistic reconstruction into explicit candidate models that can be verified for their declared scopes and released as reusable models that guide repeated action.
If that becomes scalable, a major form of economic scarcity changes. Valuable operational understanding no longer has to be reconstructed repeatedly from an individual mind or from the same dispersed source material.
In the framing of Experience Capitalization, this is the last mile: producing reusable operational models through reconstruction, verification, and release from civilization's accumulated experience together with externalized descriptions, formal structures, constraints, and evidence.