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Google has a few million hosts in it's datacenter. Each host has a few CPUs. Each CPU has a few billion transistors. That means there are on the order of 10s or
by gilbetron 4y ago
Google has a few million hosts in it's datacenter. Each host has a few CPUs. Each CPU has a few billion transistors. That means there are on the order of 10s or 100s quadrillion transistors at Google. The human brain has around a quadrillion synapses. So, the rough numbers are there. Of course, that assumes the brain is like a computer, at all - my favorite hacker news comment someone made was the idea that maybe the computer analogy for the brain is incorrect and an analogy of an antenna is something that makes more sense. And a simulated antenna doesn't actually receive a signal ;)
- skohan 4y agoA computer is a pretty bad analogy for a brain. But even so, 1 synapse is much much greater in complexity than 10 or 100 transistors. Each synapse is a complex system unto itself, which interacts with all kinds of cellular mechanisms which make up the highly dynamical system which dictates information processing within the neuron. So if we wanted to make a simulation with reasonable fidelity to the mechanisms of cellular information processing we know about, I would wager to guess it's more on the order of 1GPU == 1Synapse at a minimum. That's not to say that all of this complexity is required to reproduce consciousness in a meaningful way, but actual information processing in the brain is gob-smackingly complex.
- kfrzcode 4y agoWe're the expression of consciousness; dipping itself into the world for a moment. The world we live in is made of the fabric of dreams; all our live is shrouded in eons of slumber.