Co-evolution of Model and Agent

Each layer of safety net in Harness (context compression, retries, pessimistic rights) pins a place where the model is still unstable. When the next generation of model internalizes the constraint—the code is removed; and the ability to internalize appears because the agent has walked through these potholes in real business, and that settles as training signal. Flywheel: user puts forth a task → Harness fills in the missing → patches become signal for the next model iteration. The answer to the question “will the model swallow Harness”: yes, layer by layer, but swallowing will never finish—training takes months, business does not; there is always the freshest frontier, and each new generation of model opens a new one.

Related: [Harness-engineering], [Two clouds of agent heaven], [Continuous agent evolution]