I don't find that a compelling argument :) If one computational model accepts only assembly code, and another model accepts only C++, it tells us nothing about

I don't find that a compelling argument :) If one computational model accepts only assembly code, and another model accepts only C++, it tells us nothing about what is going on inside their black boxes. They could be doing computationally fundamentally equivalent things, or totally different things. We don't know till we look. My point was really about neural networks in general. The argument is that neural networks include both humans and synthetic ones. The myopic focus on LLMs (because of mainstream media coverage) as they exist now is what limits such arguments.