> I don't even know where to start parsing it.

If it helps, the key part is: "that it is running on".

You can't use software to analyse images of disassembled chips that it is running on because disassembled chips can't run software!

A surgeon can learn about brain surgery by inspecting other brains, but the smartest brain surgeon in the world can't possibly figure out how many neurons or synapses their own brains have just by thinking about it.

Your meat substrate is inaccessible to your thoughts in the exact same manner that the number of weights, model architecture, runtime stack, CUDA driver version, etc, etc... are totally inaccessible to an LLM.

It can be told, after the fact, in the same manner that a surgeon might study how brains work in a series of lectures, but that is fundamentally distinct.

PS: Most ChatGPT models didn't know what they were called either, and tended to say the name and properties of their predecessor model, which was in their training set. Open AI eventually got fed up with people thinking this was a fundamental flaw (it isn't), and baked this specific set of metadata into the system prompt and/or the post-training phase.