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Jordan comments on Hedging our Bets: The Case for Pursuing Whole Brain Emulation to Safeguard Humanity's Future - Less Wrong
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Okay, let's go on the brain-simulation path. Let's start with something simple, like a lobster or a dog... oh wait, what if it transcends and isn't human-friendly. All right, we'll stick to human brains... oh wait, what if our model of neural function is wrong and we create a sociopathic copy that isn't human-friendly. All right, we'll work on human brain regions separately, and absolutely make sure that we have them all right before we do a whole brain... oh wait, what if one of our partial brain models transcends and isn't human-friendly.
And while you, whose reason for taking this path is to create a human-friendly future, struggle to avoid these pitfalls, there will be others who aren't so cautious, and who want to conduct experiments like hotwiring together cognitive modules that are merely brain-inspired, just to see what happens, or in the expectation of something cool, or because they want a smarter vacuum cleaner.
This is why it's important that we have high fidelity simulations sooner rather than later, while the necessary hardware rests in the hands of the handful of institutions that can afford top tier supercomputers, rather than an idiot in a garage trying to build a better Roomba. There would be fewer players in the field, making the research easier to monitor, and, more importantly, it would be much more difficult to jerry rig a bunch of modules together. The more cumbersome the hardware the harder experimentation will be, making high fidelity copies more likely to provide computer intelligence before hotwired modules or neuromorphically inspired architectures.