Your suggestion actually makes things much harder. A single “cycle” (and you need ~100-1,000+ cycles per second) would involve ~7,000 synapses per neuron * 86

Your suggestion actually makes things much harder. A single “cycle” (and you need ~100-1,000+ cycles per second) would involve ~7,000 synapses per neuron * 86 billion neurons random memory accesses each second. Each of those accesses need to first read the location of memory and then access that memory. For perspective a video card which is heavily optimized for this only gets you low billions of random memory access per second. True random access across large amounts of memory is hard. Of course if you’re using a 1 million GPU supercomputer you now need to sync all this memory between each GPU every cycle, or have each GPU handle network traffic for all these memory requests… PS: The article assumes more efficient AI designs for good reason, actually using a neuronal network the size of the brain in real time is prohibative.