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> It is still the most favored programming language for artificial intelligence research. Correction: It is still the most favored programming language for GOF

by fizixer 11y ago

> It is still the most favored programming language for artificial intelligence research. Correction: It is still the most favored programming language for GOFAI research. It's pretty clear at this point (to me and to most active AI researchers) that some massively parallel statistical system (like Deep Learning based neural network, or Hawkins HTM, or something similar) will be a key ingredient, probably the dominant paradigm, in achieving electronic general intelligence. And lisp is pretty much absent in communities involved with that paradigm.

lispm 11y ago
It's clear that 'statistical systems' are a hundred years or more away from 'achieving electronic general intelligence'. 'statistical systems', 'deep learning neural networks', ... are totally dumb. Even commercial systems with massive money invested like Google Translate are only showing how far away from 'intelligent' translations they are. It does not matter if Lisp is not used in those communities for AI research. The whole approach is limited and does not matter much in 'general intelligence research'.
- fizixer 11y ago
  Don't get me wrong. I'm a big fan of lisp family and learning racket myself these days. I'm just saying that a statement along the lines of 'lisp is an artificial intelligence language' is really not valid anymore. You could do metaprogramming, metalinguistics, etc, all you want, and have top-notch productivity as a human programmer, but as it stands, these features have not panned out in the realization of an electronic intelligence. Massivel parallel statistical (or stochastic, pick your favorite term) systems, despite all their limitations (at the moment), appear to me to be headed in the right direction, simply because they attempt to mimic the massively parallel and stochastic nature of brain circuitry. Is that the only way? not necessarily, but the problem has stumped us for so many decades, and has manifested itself to be so complex, that the uphill task of reverse engineering the computational model of the only working example seems to be "the lesser of all evils".
  - lispm 11y ago
    None of these 'massivel parallel statistical systems' mimic the brain in any way.

by fizixer 11y ago

lispm 11y ago

It's clear that 'statistical systems' are a hundred years or more away from 'achieving electronic general intelligence'. 'statistical systems', 'deep learning neural networks', ... are totally dumb. Even commercial systems with massive money invested like Google Translate are only showing how far away from 'intelligent' translations they are. It does not matter if Lisp is not used in those communities for AI research. The whole approach is limited and does not matter much in 'general intelligence research'.

fizixer 11y ago
Don't get me wrong. I'm a big fan of lisp family and learning racket myself these days. I'm just saying that a statement along the lines of 'lisp is an artificial intelligence language' is really not valid anymore. You could do metaprogramming, metalinguistics, etc, all you want, and have top-notch productivity as a human programmer, but as it stands, these features have not panned out in the realization of an electronic intelligence. Massivel parallel statistical (or stochastic, pick your favorite term) systems, despite all their limitations (at the moment), appear to me to be headed in the right direction, simply because they attempt to mimic the massively parallel and stochastic nature of brain circuitry. Is that the only way? not necessarily, but the problem has stumped us for so many decades, and has manifested itself to be so complex, that the uphill task of reverse engineering the computational model of the only working example seems to be "the lesser of all evils".
- lispm 11y ago
  None of these 'massivel parallel statistical systems' mimic the brain in any way.