> On Jun 26, 2015, at 12:43 PM, Tim Tyler <[email protected]> wrote:
> 
> On 26/06/2015 14:01, Dean Pomerleau wrote:
>> The reason I think this interesting and relevant is that many high profile 
>> people (e.g. singularity economist Robin Hanson) see WBE as the most likely 
>> path to AGI because on the surface it seems like all that is required is 
>> straightforward engineering - all we need is better scanning methods (e.g. 
>> extending vitrification techniques already apparently quite good for mice to 
>> work for human-sized brains), straightforward extension of current neural 
>> modeling techniques (e.g. refinement to Hodgkin-Huxley model of neurons) and 
>> more powerful computers on which to run the emulations.
> 
> I never bought into this. Areoplanes aren't scanned birds. The motor car 
> wasn't
> a scanned horse and cart. Submarines aren't scanned fish. Computers aren't
> scanned brains.


This is such an important point. 

Even if we had the necessary brain scanning technology, the computational 
structures of the brain cannot be efficiently emulated using conventional 
computing substrates. The implementations reflect the structure and 
capabilities of the fundamental materials they are built from. A scanned brain 
AGI would be obscenely inefficient on silicon to the point where it might not 
even have economic value (e.g. within the physics and engineering limits of 
silicon fabrication the emulation could be much slower than an actual human 
brain).

There is a reason no one does their computing by emulating a Turing machine on 
top of conventional silicon. While the computing models are theoretically 
equivalent, there is an extreme performance penalty for moving too far from the 
physical model of computation, even if the model is amenable to an optimized 
silicon implementation. 




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AGI
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