
This is not for keeping up.
Itβs for understanding.
We look at AI as a system. Models, memory, data, agents, hardware, incentives, and institutions evolve together, and that interaction is where outcomes are decided.
We follow trajectories over time. Why some ideas compound into platforms while others stall. Why certain breakthroughs reshape the field while louder ones fade. History matters because it explains momentum.
We focus on leverage. Where advantage comes from, why it sticks, and how power shifts as AI moves from research into real systems.
If you read to think and decide better β subscribe