>> 100 trillion synapses (very roughly analogous to transistors?) Not even remotely comparable * its unlikely synapses are binary. Candidly they probably serv

>> 100 trillion synapses (very roughly analogous to transistors?) Not even remotely comparable * its unlikely synapses are binary. Candidly they probably serve more than one purpose. * transistor count is a bad proxy for other reasons. A pipeline to do floats are not going to be useful for fetch from memory. "Where" the density lies is important. * Power: On this front transistors are a joke. * The brain is clockless, and analog... frequency is an interesting metric Binary systems are going to be bad at simulating complex processes. LLM's are a simulation of intelligence, like forecasting is a simulation of weather. Lorenz shows us why simulation of weather has limits, there isnt some magical math that will change those rules for ML to make the leap to "AGI"