Talk:Weak artificial intelligence

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Narrow != Weak

Narrow AI may well be what is defined in the article, but the weak/strong AI distinction is VERY different. See https://en.wikipedia.org/wiki/Chinese_room#Strong_AI

ALso Ray Kurzeuil and all the sigularity thing is interesting and entertaining, but is NOT reality, but speculation.

With respect, I call for a return to the version before 149.254.58.203's edits.

DISCUSS.

Samfreed (talk) 14:51, 23 October 2014 (UTC)[reply]

Altho speculative now, the future is a real thing and it's coming here soon. I suggest that where the first sentence says: real-world,

All real-world systems labeled "artificial intelligence" of any sort are weak AI at most.   
It could say: present day world.  173.225.148.173 (talk) 17:30, 29 December 2015 (UTC)[reply]

I've just made lots of edits to improve the article.

Here are some links I didn't use:

http://ieet.org/index.php/IEET/more/goertzel20131006

http://www.scientificamerican.com/article/ai-captcha-computer-vision/

http://www.kurzweilai.net/vicarious-ai-breaks-captcha-turing-test

http://blogs.computerworld.com/the_kurzweil_interview_continued_portable_computing_virtual_reality_immortality_and_strong_vs_narrow_ai

http://blog.ted.com/2013/11/18/the-automation-age-by-daniel-suarez/

http://nextbigfuture.com/2013/07/ben-goertzel-is-on-mission-to-build-ai.html

http://fora.tv/2008/08/08/Daniel_Suarez_Daemon_Bot-Mediated_Reality/How_Bots_Control_Our_Lives

— Preceding unsigned comment added by 149.254.181.50 (talk) 21:42, 17 February 2014 (UTC)[reply]

— Preceding unsigned comment added by 149.254.58.203 (talk) 17:19, 16 February 2014 (UTC)[reply]

Possible confusion with weak methods in AI

The article should mention that this has nothing to do with the concept of using 'weak methods' in AI. This was made popular Newell in the the late 1960s (Newell, A. Heuristic programming: Ill-structured problems. In Aronofsky, J. (Ed.), Progress in Operations Research, III. New York: Wiley, 1969). See also:

weak methods

1. problem-solving techniques based on general principles rather than specific, domain-relevant knowledge. Such methods can be applied to a wide variety of problems but may be inefficient in many cases.

2. in artificial intelligence, programs based on general principles that do not take into account knowledge specific to any particular application or domain. Compare strong methods. — Preceding unsigned comment added by Finin (talk • contribs) 14:26, 7 February 2019 (UTC)[reply]