I'd be interested in getting some feedback on the book "On
Intelligence" (author: Jeff Hawkins).
It is very well written - geared for the general masses of course -
so it's not written like a research paper, although it has the feel
of a thesis.
The basic premise of the book, if I can even attempt to summarize it
in two statements (I wouldn't be doing it justice though) is:
1 - Intelligence is the ability to make predictions on memory.
2 - Artificial Intelligence will not be achieved by todays computer
chips and smart software. What is needed is a new type of computer -
one that is physically wired differently.
I like the first statement. It's very concise, while capturing a
great deal of meaning, and I can relate to it ... it "jives".
However, (and although Hawkins backs up the statements fairly
convincingly) I don't like the second set of statements. As a
software architect (previously at Microsoft, and currently at Charles
Schwab where I am writing a custom business engine, and workflow
system) it scares me. It scares me because, although I have no
formal training in AI / Cognitive Science, I love the AI field, and
am hoping that the AI puzzle is "solvable" by software.
So - really, I'm looking for some of your gut feelings as to whether
there is validity in what Hawkins is saying (I'm sure there is
because there are probably many ways to solve these type of
challenges), but also as to whether the solution(s) its going to be
more hardware - or software.
Thanks,
~Aki
P.S. I remember a video I saw, where Dr. Sam Adams from IBM stated
"Hardware is not the issue. We have all the hardware we need".
This makes sense. Processing power is incredible. But after reading
Hawkins' book, is it the right kind of hardware to begin with?
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