The creator reports that the CPU can execute instructions reliably within the model, turning the language system into a host for a hardware style architecture. This differs from typical generated code because the processor behavior is deterministic. The project has drawn interest from researchers exploring how large models can emulate or contain computational structures. It could open new paths for testing systems or teaching computer architecture through model interactions. While still experimental, the work shows that language models can support more than text output. The next challenge is scaling the approach and connecting it to real world software tools.