Their evidence does a nice job of making Musk seem duplicitous, but it doesn't really refute any of his core assertions: they still have the appearance of abandoning their core mission to focus more on profits, even if they've elaborated a decent justification of why that's necessary to do. Or to put it more simply: here they explain why they had to betray their core mission. But they don't refute that they did betra…
Eh.
Humans have about 1.5 * 10 ^ 14 synapses (i.e connections between neurons). Assume all the synapses are firing (highly unlikely to be the case in reality), and the average firing speed is 0.05ms (there are chemical synapses that are much slower, but we take the fastest speed of the electrical synapses).
Assume that each synapse is essntially a signal that gets attenuated somehow in transmission. I.e value times a fractional weight, which really is a floating point operation. That gives us (1.5 * 10 ^14)/(0.0005)/(10 ^ 12)) = 300000 TFLOPS
Nvidia 4090 is capable of 1300 Tflop of fp8. So for comparable compute, we need 230 4090s, which is about $345k. So with everything else on board, you are looking at $500k, which is comparatively not that much money, and thats consumer pricing.
The biggest expense like you said is paying salaries of people who are gonna figure out the right software to put on those 4090s. I just hope that most of them aren't working on LLMs.