The idea is to replicate the weights of the network in the electronics. Somehow like our brains work? This way an analog input signal could lead to a neural network processed output signal without the digital emulation on an gpu. As this is very much simplified, the question is if this could work for modern llms?

Suddenly "temperature" parameter starts making sense

(If you ever tried fine-tuning an analog circuit, you'll know how finicky the process due to the environment, including temperature)

haha very true!