Emergent phenomenon can seem complicated and impossible to understand, but the mechanisms that give rise to them are usually simple (for example, evolution creating diverse and intricate life).
838 karma · joined October 14, 2009
Emergent phenomenon can seem complicated and impossible to understand, but the mechanisms that give rise to them are usually simple (for example, evolution creating diverse and intricate life).
Since this is a long-term project, it's more important that Numenta is able to protect the community it is building from patent trolls, and this is one approach to doing that.
So yes, a general purpose learning algorithm, using the correct paradigm, would learn to think in a way as powerful as we do. And it'll do so in a way that its programmers would never be able to predict.
In the same vein, I would say that Google search results is an emerging phenomena, albeit not quite as interesting as general purpose intelligence. This is because it's intractable to predict what Google will return for certain queries, even if we know all of its rules. Keep in mind that there are degrees of emergence, it's not black and white. (On the other hand, I don't think Google's algorithm is as "simple" as it originally was, but that's for another discussion.)
I urge you to watch Andrew Ng's talk that I linked to in the post, and read On Intelligence (http://www.amazon.com/On-Intelligence-Jeff-Hawkins/dp/080507...) by Jeff Hawkins, a book that totally changed the way I look at intelligent behavior.
We learn more about brains and making smart computers, but we seem to have run out of major architectural innovations -- better ones won't make a huge difference. The big stumbling block seems to be how much "common sense" a system knows, like that things tend to fall down when you bump them. One group has been writing these down for fifteen years with moderate success; a century more effort may be plenty.
This seems like a really inefficient way to go about it.
Recently, I have been practicing a new time management technique and I am calling it the “Minimum Viable Daily Tasks”. Here is how it works: Choose the minimum amount of work that needs to be done everyday so that you have a big smile on your face when you are heading home in the evening. If you accomplish anything more then it is a bonus.
I for one welcome any new natural language interface that can replace and improve on click interactions.
The only thing I find lacking is the public profile view. It doesn't show all links on one page, but rather only shows 3 per section, and then you have to click links to see the whole section. It also doesn't show descriptions on that page for the links.
Fortunately, they have an API so you can make your own beautiful page to show all that, which I might do and embed onto my blog.
Buy what fits at the right point in the spectrum for you, and move on with your life.
Bottom line: I get to use Colemak all the time that I want, and I never have a problem with mobile devices. Win-win!
"Easy to learn – Allows easy transition from QWERTY. Only 2 keys move between hands. Many common shortcuts (including Ctrl+Z/X/C/V) remain the same. Typing lessons available."
An alternative interface for navigating links with your keyboard in Chrome is DeadMouse: http://chetan51.github.com/deadmouse/
With it, you can simply start typing out the text of any link you see on the page to go to it.