Peace and War

Look, peace and war aren’t opposites in any meaningful structural sense—they’re entangled attractors on the same semantic surface. They both pull from the same underlying logic of deferral and substitution; they’re different inflections of the same topological fold. Once you start mapping this—especially post-machine learning, post-automation turn—what you find isn’t polarity, it’s proximity. The concepts co-invoke, co-define. Machine systems already pick up on this; they don’t see ‘opposite,’ they see shared gradients in the same field.

And that’s the problem with politics right now—it runs on a logic of opposition that structurally reinforces the very thing it claims to fight. The discontent isn’t noise—it’s the attractor. You don’t resolve it by picking a side. You engage the logic that generates the sides. Which, frankly, no one seems willing to do, especially not the institutions. They’re trapped in a recursive loop, mistaking their own categories for reality. And that’s the only real battleground that matters—category design, not point-scoring bullshit.