What is "whole brain emulation"?
Whole brain emulation (WBE) or “mind uploading” is the process of reproducing all the cells1
The WBE process looks something like: scan a human brain at a very high resolution, then recreate the observed neural circuits on a computer. The technologies to enact such high-resolution scanning as well as interpret the circuits do not currently exist, and major breakthroughs are still needed in order to build these technologies. Furthermore, it is unclear if we currently have enough available compute
Shorthand for “computing power”. It may refer to, for instance, physical infrastructure such as CPUs or GPUs that perform processing, or the amount of processing power needed to train a model.
WBE has been proposed as a solution to AI alignment
Even if the underlying principles of general intelligence prove difficult to discover, we might still be able to emulate an entire human brain and make it run at a million times its normal speed, as computer circuits communicate much faster than neurons. Such a WBE could do more thinking in one hour than a biological human can in 100 years. So while WBE would not lead immediately to qualitatively smarter-than-human intelligence, it could lead to faster-than-human intelligence.
A WBE could be backed up, providing the possibility of recovery from accidental death and immunity from aging. It could also be copied so that hundreds or millions of copies of a WBE could work on separate problems in parallel. If WBEs are created, they may in this way be able to solve scientific problems much more quickly than ordinary humans, accelerating technological progress.
Robin Hanson’s The Age of Em describes a world where emulated minds (“ems”) exist in a Malthusian state, having economically displaced biological humans.
There are reasons to believe that the first AGI
Further reading:
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A. Sandberg and N. Bostrom, Whole Brain Emulation: A Roadmap (2007)
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Blue Brain Project, which aims to simulate a full mouse brain
Or perhaps structures at a higher or lower than cells: see e.g. p13 of this FHI Whole Brain Emulation Roadmap. ↩︎
Some have argued that simulating the connectome is insufficient to properly model a human brain. If such “subneural functionalism” is true, simulating the brain in any non-organic substance might be harder than expected. ↩︎