Predictive processing suggests conscious minds maintain internal world models updated via constant prediction errors. This theory mirrors how Large Language Models optimize neural weights through next-token prediction. While the analogy is conceptually tidy, the connection remains speculative. Practitioners should view this as a philosophical framework rather than a technical roadmap for artificial general intelligence.