I keep thinking about models as compute nodes.
Not the whole operating system.
Compute matters.
The model matters.
Better reasoning, better tools, better interfaces, better speed: all of that changes what is possible.
But the model still needs a map.
Where are we?
What are we trying to do?
What changed?
What is off limits?
What has already been decided?
What proof came back?
What is still uncertain?
That is context.
And the context is often where the real system lives.
The model can help reason through the map.
It can propose.
It can build.
It can summarize.
It can challenge.
But without a living map, it is just powerful compute pointed at fragments.
That is why I am less interested in asking which model wins and more interested in how the context layer works.
The model is the engine.
The context is the road, the signs, the destination, and the rules of movement.