On Tue, Jul 16, 2013 at 11:25 PM, Jim Bromer <[email protected]> wrote:
> not worrying about writing something that would be scalable to adult human > level AGI. That's OK then, Matt is bound to make you honorary member of the "without actually accomplishing anything" club. Just joking. Of course all kinds of simple learning have been tried for decades, like I said mostly without the ambition to solve AGI, very often just to publish a paper (and as I've noted before a multitude of authors of interesting papers and dissertations ended up working in more or less unrelated fields). Jan above is right that a lot of engineering knowledge does come from simple exercises that we eventually discover if and how we can eventually scale - I should point out however that intelligence is anomalous, it is not like building a hut first and a 100-story skyscraper later, it is more like building a 100 dimensional skyscraper . But what may have been missed by a collective IQ of a million or a billion? I don't know but in my outline of RiskAI, an intellect that first and foremost manages risk in its environment trying to survive, I proposed a rather challenging starting point for AGI: real time intelligence! The basic idea is that risk becomes infinite if you are too slow, and then again you may always be too slow for some environments and activities, in which case you stay closer to your comfort zone where your reaction times are not a handicap, but still they would have to be relatively fixed and consistent. Now, Jim, this is a perspective that at least guarantees you that you don't fall in your complexity/recursive traps. Instead of coding learning first and waiting for a program to respond later, you first make sure the program responds, and then build learning around it. I am not going to lie, this can be quite an engineering challenge, and frankly I think it is an area that will see many breakthroughs, especially if you look at the "real-time ecosystem", for example FPGAs and HPC where you could be guaranteed very "thin" computing power like a million agents each running for some milliseconds. You can of course arbitrarily choose the response time on your hardware, even 10 minutes or whatever, but the idea is to stick to whatever limit you chose. Then you can always claim that some hardware engineering can speed your algorithm 1000x and make it suitable for ordinary environments. AT ------------------------------------------- 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
