Notes on AI, agents, and computational biology.
A 3×3 framework for understanding what evolves in AI agents and when those updates persist.
AI's core impact isn't replacing human intelligence but redistributing it — from execution to decision-making, enabling unprecedented scale.
A unified theoretical framework for structured test-time scaling, showing how topology compression, scope isolation, and decoupled verification—a three-layer structural decoupling—bypass the linear collapse of long-horizon reasoning across multi-agent systems, recursive architectures, and coding agents.
Collection of some resources related to the PhD journey.