Artificial neural networks used in AI (like those in GPT) are vastly oversimplified compared to biological neural networks; they use binary activation (neuron fires or not) whereas biological neurons operate on continuous analog potentials; biological neurons have tens of thousands of synapses each carrying analog information, while artificial neural networks cannot approach this complexity.