Totally agree with Tim.  And then they do experiments via simulations...  Can't 
learn everything like that, but a helluva lot.

Peter

AGI Innovations Inc
www.AGi-3.com 

-----Original Message-----
From: Tim Tyler via AGI [mailto:[email protected]] 
Sent: Saturday, January 17, 2015 3:37 PM
To: AGI
.....

Of course, this is far from De Grey's "once these machines become as smart as 
humanity they won't have any new information to learn."
That's silly and indefensible.

 > After surpassing human level, improvement will depend on experiments  > that 
 > can be done quickly. If the question is how to acquire the atoms  > and 
 > energy needed for computation, the learning rate will be one bit  > per 
 > generation, which will favor small, fast replicators with short  > life 
 > spans. [...]

IMO, we'll continue to see a range of organism lifespans. Different niches 
favour different lifespans. A bacterium has one lifespan, a whale has longer 
one and a solar farmer has a much longer one.

Slow experiments will continue to be time-consuming to perform.
Our descendants will still have to build particle accelerators, radio 
telescopes and the like. However, there's a lot to learn that can take place 
inside a cubic centimeter. The world of protein folding fits inside such a cube 
- for example. Our descendants will be able to explore such realms using rapid 
experiments.
--
__________
  |im |yler  http://timtyler.org/  [email protected]  Remove lock to reply.




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