4 ms·
I'm sorry, but they kinda said nothing about speed or size. >predominantly analog signals, that don't have any sort of equivalent silicon basis. They said the
by whymauri 7y ago
I'm sorry, but they kinda said nothing about speed or size.
>predominantly analog signals, that don't have any sort of equivalent silicon basis.
They said the computing units we use on silicon are, at a fundamental level, completely different. And I'm inclined to believe them. Yes, it is computable to simulate the sort of computational processes they allude to. And yes, it would be very slow to do that. But I'm just noting that that was not their point.
To your point, some people subscribe to a theory that the distributed nature and synchronicity of neural mechanisms makes then similar to n-body problems (then you're modeling these mechanics as ODEs). To that end, I don't think any amount of compute will solve them exactly at that level of granularity. So yeah, 'theoretically' replicable but many things are theoretically possible, and I don't think they'll be practically useful soon (like Dyson Spheres for an extreme example).
That being said, I don't think approximation is a bad approach at all given we are aware of the fact that we're approximating. Directly replicating... while philosophically interesting, is just not useful.
- Retric 7y agoYou can easily build analog circuits. It’s actually how most early computers where designed. Further, the ability to withstand minor effects like the pressure changes from each heartbeat or the shock from individual steps represent a robust system. Worse the brain needs redundancy to deal with things like cell deaths. We can argue that simulating you needs quantum level precision, but we can’t tell if someone is replaced with a fairly close copy because that’s literally happening all the time.
- whymauri 7y agoI'm sorry, did anyone mention quantum effects..?
- Retric 7y agoI am not sure what else you mean by ‘at a fundamental level’. Get enough neurotransmitters of the right type at the receptors of each neuron and it fires. At the level of chemistry that’s very much computable. It’s only by digging one step below that and saying you need to simulate quantum effects for some reason that doing so in a chip becomes an issue.
- marcosdumay 7y ago> some people subscribe to a theory that the distributed nature and synchronicity of neural mechanisms makes then similar to n-body problems I'm sorry, but are you claiming that our brain is hard to simulate because it's chaotic? That's not a useful idea. If that is true, than it only means that we have a lot of accidental complexity and it's much easier to make something more intelligent than us than it's to simulate ourselves. This would add no constraints on the creation of a general AI.