Human-Level AI Is Harder Than It Seemed in 1955 – John McCarthy (2006)

Re:Human-Level AI Is Harder Than It Seemed in 1955 – John Mc... by dicroce on Wednesday January 28, 2015 @07:12PM (#8963493)

The human brain has about 100 billion neurons. The human genome is 770MB (in .2bit format)... So, we know the genome doesn't have even close to enough information to describe all of the connections within the brain... This means that the brain must be an emergent phenomenon.. There must be some gross structure, or general mechanisms described in the genome and the rest is left to learning...

Andrew Ng at Stanford built the largest neural network to date, with 11.2 billion parameters (which I'm going to take to mean 11.2 billion neurons, as I'm assuming the parameters are the neuron weights)... So we're still pretty far off of human numbers of neurons... In addition, humans have the be bathed in sensory input for years before they begin to show intelligence..

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Re:Human-Level AI Is Harder Than It Seemed in 1955 – John Mc... by Iv on Wednesday January 28, 2015 @08:03PM (#8963713)

I'd wager it is 11.2 billion synapses. And probably at most half that as you need 2 parameters for a synapse: its destination and its weight.

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Re:Human-Level AI Is Harder Than It Seemed in 1955 – John Mc... by sk5t on Wednesday January 28, 2015 @07:30PM (#8963574)

Did anyone ever suppose the genome could possibly describe the functioning of the brain? After all, learning to play an instrument doesn't change your genome, and who could even take a stab at estimating how many bits of storage it takes to "store" mastery?

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Re:Human-Level AI Is Harder Than It Seemed in 1955 – John Mc... by tmzt on Wednesday January 28, 2015 @08:07PM (#8963730)

I took it to mean that there isn't enough storage in the genome to encode the initial full linkage of neurons, not that learning would have to be written back to the genome in order to change the ongoing network.

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Re:Human-Level AI Is Harder Than It Seemed in 1955 – John Mc... by Teodolfo on Wednesday January 28, 2015 @09:15PM (#8963936)

11 billion parameters is a number of connections, not neurons. Connection weights, not neuron weights.

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