Very interesting paradigm shift. Tangentially, I have considered the possible impact of thermodynamic computing in its application to machine learning models.

Very interesting paradigm shift. Tangentially, I have considered the possible impact of thermodynamic computing in its application to machine learning models. If (big if) we can get thermodynamic compute wells to work at room temperature or cheap microcryogenics, it’s foreseeable that we could have flash-scale AI accelerators (thermodynamic wells could be very simple in principle, like a flash cell) That could give us the capability to run Tera-parameter models on drive-size devices using 5-50 watts of power. In such a case, it is foreseeable that it might become more efficient and economical to simulate deterministic computing devices when they are required for standard computing tasks. My knee jerk reaction is “probably not” but still , it’s a foreseeable possibility. Hard to say what the ramifications of that might be.