[Lex Computer & Tech Group/LCTG] New Scientist

[Robert Primak]

 The problem is, New Scientist has a paywall. To read the article we would have to subscribe. (Which might not be a bad idea for some of us.) 
But anyone can listen to this audio-only breakdown of the same fundamental concepts.
How Running AI Computations Backwards Can Save Energy
https://www.youtube.com/watch?v=kKAwpyj98m0The Singularity Labs | 12:35 m:s

Fascinating discussion, and makes the concepts much clearer. 
BTW, reverse-time computation has nothing to do with time as in space-time. It's a technique of doing some calculations back-to-front, as well as front-to-back. It can be much more efficient in terms of CPU and NPU loads, as well as making the computations happen faster. 
Pruning of irrelevant background details has an even greater effect on computational efficiency. 
Given the huge energy demands of AI, as well as AI's tendency to use up a lot of GPU and other hardware resources, this is an important area of concern. 
-- Bob Primak 
    On Tuesday, December 31, 2024 at 10:10:16 AM EST, John Rudy via LCTG <lctg at lists.toku.us> wrote:  
 
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I have been getting this very interesting magazine for a couple of months.  It is mostly short stories on a VERY wide swath of technical issues.  Seems to be UK based.  It is a weekly of about 40 pages, and  the 12/29 article had this article on the cost of AI computing and the way in which computers use so much money erasing data.  I only partially understand it but it appears to be well worth reading.  Then someone with more knowledge that I can explain it at a meeting.

  

https://www.newscientist.com/article/mg26435231-300-how-to-fix-computings-ai-energy-problem-run-everything-backwards/

  

John Rudy

  

781-861-0402

781-718-8334  cell

13 Hawthorne Lane

Bedford MA

jjrudy1 at comcast.net



  
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