" 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...."
Indeed, the above point is highly important, that's why an intermediate step is required - the hybrid system -http://arxiv.org/abs/1411.5224 and the entire construct of IGI starting with hybrid systems design makes sense Dorian On Fri, Jun 26, 2015 at 1:36 PM, J. Andrew Rogers <[email protected]> wrote: > > > 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. > > > > > ------------------------------------------- > AGI > Archives: https://www.listbox.com/member/archive/303/=now > RSS Feed: https://www.listbox.com/member/archive/rss/303/17795807-366cfa2a > Modify Your Subscription: > https://www.listbox.com/member/?&; > Powered by Listbox: http://www.listbox.com > ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-f452e424 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-58d57657 Powered by Listbox: http://www.listbox.com
