A new technical analysis from MATS argues that market price recursion serves as a rational theory for reward. The author draws formal analogies between chain markets and multilayer perceptrons. This framework attempts to rationalize reward and identity through Bayesian inference. It provides a theoretical lens for aligning AI objectives with economic value.