YKY wrote:
> I agree that uploading is not easy. Notice that your idea
> of recursive self-improvement being able to work wonders
> may also be very much hyped =)  Intuitively I guess the
> rate of RSI might be roughly inversely proportional to
> the complexity of the task...

About recursive self-improvement, I'd be curious to know the line of
thinking underlying your intuition.

My intuition is quite different.

Suppose one has a mind with intelligence X_N and architecture A_N using
computational resources Y_N, which figures out how to expand its
computational resources to Y_(N+1).  Its intelligence will then increase to
X_(N+1), just by virtue of its having figured out how to expand its
computational resources.  This assumes of course that the mind's
architecture A_N is able to make use of greater computational resources; in
order to achieve this it may have to change to a new architecture A_(N+1).
Repeat as N tends to infinity...

The point is, for iterated self-improvement to work, you don't even need
amazing breakthroughs in cognitive science, all you need is for AI
architecture to keep up with Moore's-Law type improvements in computing
infrastructure.

For this reason, it seems to me that iterated AI self-improvement really
WILL be able to work wonders, one day.

Arguably, once one achieves a certain level of intelligence on a certain
computing infrastructure, progressive improvements in intelligence will get
harder and harder....  But, the use of intelligence to expand the computing
infrastructure seems to counter this potential problem.

Do you believe that there's some amount of computing power, beyond which
increases in computing power no longer lead to commensurate increases in
intelligence?  If so, why?

Do you believe that, at some amount of computing power, the amount of
intelligence achievable using this amount of computing power will not be
adequate to figure out how to gather more computing power?  If so, why?

-- Ben G

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