[mixing threads]

Mermin’s “Shut up and calculate” view which to me seems like agreeing to be 
blind because there is Braile.
This to me has the same feel as agreeing that `real’ being whatever “a 
community of inquiry” says.    How can one generate hypothesis in a productive 
way without any intuition or metaphysical foundation?  Why would anyone want 
to?  It seems to me doing theory this way is something a computer might as well 
do.   I _believe_ something because I can manipulate it, visualize it, and 
anticipate a certain kind of result, not because it is written in a textbook or 
because a prediction pops out of a supercomputer.   That formality is added 
value to the intuition, not a substitute for it.

Suppose (and it is not just hypothetical) that a machine learning algorithm 
could suggest how to design a battery with maximum capacity, develop recipes 
that extended life, or find computationally efficient solutions to the 
evolution of quantum systems, or answer any number of hard scientific questions 
or solve any number of relevant engineering problems.   Suppose it was 
completely mysterious to humans (at first) how it worked, but it worked 
perfectly.   The systems never failed and the predictions were always spot-on.  
 Has something `real’ been found?    The “Shut-up and calculate” approach seems 
to say yes.   Why should I prefer to read papers or textbooks describing human 
experiences?  Instead, perhaps find ways to unpack and rationalize the machine 
representations (e.g. neural nets, rule-based systems, whatever).


Marcus

________________________________
From: Friam <[email protected]> on behalf of Alfredo Covaleda Vélez 
<[email protected]>
Sent: Monday, September 18, 2017 8:09:01 PM
To: The Friday Morning Applied Complexity Coffee Group
Subject: [FRIAM] Maybe a new hardware approach to deal with AI developments

Probably It is the most interesting tech article that I have read in weeks.

https://mobile.nytimes.com/2017/09/16/technology/chips-off-the-old-block-computers-are-taking-design-cues-from-human-brains.html?emc=edit_th_20170917&nl=todaysheadlines&nlid=58593627&referer=
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