This post explores the concept of simulators in AI, particularly self-supervised models like GPT. Janus argues that GPT and similar models are best understood as simulators that can generate various simulacra, not as agents themselves. This framing helps explain many counterintuitive properties of language models. Powerful simulators could have major implications for AI capabilities and alignment.