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6502 simulated - mind uploading for microprocessors

Anders Sandberg gives a good lecture (Google TechTalk) called "Whole Brain Emulation: The Logical Endpoint of Neuroinformatics?" which responds to some of the points raised here. See youtube

6502 simulated - mind uploading for microprocessors

Hmm, learning to fly without replicating a specific bird is analogous to the problem of general AI. This discussion thread started with a claimed analogy between chip simulation and mind uploading, which is more the problem of replicating a specific bird. If I claimed to be able to upload your mind, then proceeded to scan or mince your brain, and then showed your relatives a general AI, they would be unimpressed.

6502 simulated - mind uploading for microprocessors

Indeed. More interesting perhaps, is that destructive scanning would become viable long before non-disruptive scanning. Also note: a slow-running simulation which turns out to be in agony doesn't have to suffer for much subjective time. Presuming the 'owners' care about that.

6502 simulated - mind uploading for microprocessors

Indeed, important, but not a difference in kind: you build a model which is as accurate as it needs to be.

6502 simulated - mind uploading for microprocessors

Yes, late, and yes, slow. But it's what you have to do when you don't understand the thing you wish to duplicate. Making a brain is one thing, making a specific brain is another.

6502 simulated - mind uploading for microprocessors

There is an analogy here: the visual6502 simulator just simulates transistors, with an adequate but imprecise model. It loads a description of a chip - presently the 6502 - and then acts out the behaviour of that chip. Other 6502 models out there were written by understanding how the CPU works - we only had to understand how transistors work. Michael Steil's presentation at 27C3 includes a graph claiming orders of magnitude less work for the same fidelity.

To upload a mind into a computer without having to understand how minds and brains work, one might similarly model at the neuron level and then upload a description of the neuron characteristics and connectivity.

6502 simulated - mind uploading for microprocessors

Peter Monta has done this over the last few weeks: see his tools on github - we mention it on the visual6502 wiki. There are lots of interesting possibilities ahead...