On 28/11/2014 22:28, Ben Goertzel via AGI wrote:
However, it does often take several days for us to do a MOSES (machine
learning algorithm) run across a body of datasets that interests us
(using crossvalidation etc. etc.) ....
Speeding that up by 10% wouldn't make much difference to us.
Speeding that up by 100x would make a tremendous difference to us,
because it would then let us perform MOSES-parameter-space search in a
more automated way, rather than "largely by hand.".... Speeding that
up by 10x would make a moderate difference to us....
Today, we should have more than enough computing power, for most
reasonable software engineering tasks. I can't say I've never
seen engineers waiting around for the build to complete or the
tests to run. However, that's generally a consequence of their
time management choices - or sometimes the result of dubious
project management practices.
Today, if you are writing software and more than 20% of your critical
path is in cyberspace, rather than complaining about CPU speeds not
being fast enough for your highly-automated project, you should
seriously consider whether your build/test process could be made
more modular - or more parallel - or that you could better parallelize
your development work - and delegate more of the work to others.
I can think of some cases where businesses are CPU-bound.
Cryptocurrency mining and ray-traced movie rendering spring
to mind. However, these are not really software engineering.
Software engineering is one of the areas which we don't
currently know how to automate very well.
In the future, no doubt machines will be on the critical path
more. Today, this happens rarely - reflecting the work that
still needs to be done to automate software engineering.
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|im |yler http://timtyler.org/ [email protected] Remove lock to reply.
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