Self-Improving AI Models and Architectures

Self-improvement is broadening into executable code worlds, differentiable replay, replayable evidence, and extreme test-time iteration. AgentGarten reports 30+ FPS real-time environments, four task categories, cross-round learning, and emergent hide-and-seek strategies; ablations, compute costs, task breadth, code release, and independent replication remain unresolved.