Nested Learning Architecture

Researcher & Builder • 2025 - Present

Problem

Many large-context models improve capacity but become unstable or expensive to run consistently.

Approach

I explored nested routing and memory-aware module boundaries to improve both training stability and inference efficiency.

Result

The architecture provided a clearer path to balancing context length, compute budget, and output reliability.