Over his intellectual career as an AI researcher, Shanahan has progressively retreated from the desire to build intelligible systems toward accepting that mindless scaling of data, computation, and search is what actually works, a trajectory described as the 'bitter lesson' in AI—giving up on understanding for the sake of effectiveness.