On Sat, Mar 22, 2014 at 10:06 PM, Ben Goertzel <[email protected]> wrote: > The goal with OpenCog is not to outdo CNNs or statistical MT on the > particular problems for which they were developed. The goal is to > address general intelligence...
I realize that AGI should be able to do everything that the human brain can do. I should be able to ask OpenCog to translate text to another language, recognize faces in pictures, drive a car, or play Jeopardy, and it would do it. I just wonder how you are addressing the enormous computational resources (hardware, software, and training data) needed to solve these problems. Certainly it must be a lot harder to solve all of these problems at once than focus on just one. The obvious application of AGI is automating human labor. The ROI over 15 years of world GDP should be about $1 quadrillion. I find it curious that companies investing heavily in AI like Google, Facebook, and IBM won't even invest $1 million in OpenCog. Are they really setting odds of success at a billion to one against? I realize there is a synergy effect in AGI. We do not just recognize words or faces in isolation. We use context from all of our senses. So it would seem justified to claim that we won't see any signs of progress until all of the parts are finished. Then everything will just work. But regardless of whether I buy the argument, those with money don't seem to. Surely there must be some way to indicate progress. The last published experimental results or demo I am aware of is the 2009 virtual puppy video. https://www.youtube.com/watch?v=ii-qdubNsx0 The puppy video shows a synergy effect of combining a simple 3-D virtual world, a simple (presumably rule based) language model, and a simple 13 component model of physiological and emotional state. So it would presumably be possible to periodically run system wide tests and measure progress of a synergistic system. Are you doing this? What results can you show to investors? How do you plan to scale up the problem from one CPU to millions of CPUs? I recall some tests on distributed AtomSpace that showed severe performance problems. How do you plan to organize thousands of software developers? How do you plan to collect petabytes of human knowledge? How do you plan to acquire the computing power? Or do you claim that solving all of the problems at once is easier than solving one narrow-AI problem like Google translate or Watson? The last time I checked, OpenCog is an (unfinished) Linux download I can run on a PC. -- -- Matt Mahoney, [email protected] ------------------------------------------- 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
