I don’t understand the reasoning that neuromorphic AI is likely to come before WBE (page 4). Sure, we’ll have neuron emulations before WBE, but neuromorphic AI should be about as much harder than neurons as non-neuromorphic AI is than transistors. Our understanding of how the brain works will help some, but we’ve got a long ways to go and it is not a straightforward problem.
Neurons are already optimized to make intelligence out of; transistors are not. Also, we already have an example of how to put them together the right way, which we can draw inspiration from in our own designs. Some subsystems of the brain are simpler than others, so we will very likely be able to simulate those before we have WBE.
I don’t understand the reasoning that neuromorphic AI is likely to come before WBE (page 4). Sure, we’ll have neuron emulations before WBE, but neuromorphic AI should be about as much harder than neurons as non-neuromorphic AI is than transistors. Our understanding of how the brain works will help some, but we’ve got a long ways to go and it is not a straightforward problem.
Neurons are already optimized to make intelligence out of; transistors are not. Also, we already have an example of how to put them together the right way, which we can draw inspiration from in our own designs. Some subsystems of the brain are simpler than others, so we will very likely be able to simulate those before we have WBE.