Alex Cransel explains Exo’s self-improving agent architecture

In this Latent Space interview, Alex Cransel explains Exo, an experimental agent architecture intended to let an agent change its own policy code while keeping state, secrets, and execution environments separated. The conversation focuses on the three-layer design, self-improvement safeguards such as rollback and evaluation, and a reported example of reducing Discord-agent context costs. It matters because it frames recursive improvement as a systems and harness problem rather than only a model-training problem.