EP316: Teaching robotaxis the biological urge to survive

Title: Active Inference as the Test-Time Scaling Law for Physical AI AgentsSource: http://arxiv.org/abs/2606.22813v1Summary:This paper introduces a novel test-time scaling law for physical agents grounded in active inference and free energy minimization to handle out-of-distribution environments. By updating policies dynamically at test-time through variational inference, it unlocks continuous learning and scaling from real-world experience rather than just training data size.