# Distributed specialization and integration

ID: distributed-specialization
Canonical: https://rezonansapp.com/nodes/distributed-specialization
Version: 1
SHA256: ca5ad53d9e84667e0f7a4f3e5210c3653a80ce24e74c1bac9c8eaa3c552fe8e8
Epistemic kind: reconstruction

## Question

How can smaller specialized learners contribute to a larger learning system without incompatible updates accumulating?

## Formulation

The proposed arrangement distributes learning across heterogeneous resources, while management and integration can themselves be assigned to models. Coarse and fine representations offer one possible division of labor.

## Tension

Distribution of computation does not necessarily distribute interpretive or political control.

## Challenge

Who decides whether a local improvement is a valid contribution to the shared model?