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LeCun has "zero concerns" about AI wiping out humanity, recent "rogue" incidents

400 points · 756 comments · Anon84

  1. stratos123 · · focus · HN ↗
    LeCun also said back in 2022 that "if you train a machine, as powerful as it could be, your 'GPT-5000', on text", it will never be able to learn basic common-sense physics like that objects placed on tables will move along with them.
    1. password54321 · · focus · HN ↗
      LeCun took credit for the work of <a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Kunihiko_Fukushima" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Kunihiko_Fukushima
      1. woko · · focus · HN ↗
        I have checked LeCun&#x27;s #3 most cited article (20k citations) [1]. Among the 15 references in this article, one is for the most cited article by Fukushima (11k citations) [2].

        Also, LeCun mentioned [3] &quot;a chat with Kunihiko Fukushima in 1991&quot;, which states that &quot;Fukushima started to work on a backprop version of the Neocognitron in 1989 or so but saw our 1989 paper in Neural Computation and gave up.&quot;

        [1] LeCun et al., &quot;Backpropagation applied to handwritten zip code recognition&quot;, 1989

        [2] Fukushima et al., &quot;Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position&quot;, 1980

        [3] <a href="https:&#x2F;&#x2F;x.com&#x2F;ylecun&#x2F;status&#x2F;1840123570338599361" rel="nofollow">https:&#x2F;&#x2F;x.com&#x2F;ylecun&#x2F;status&#x2F;1840123570338599361

        1. password54321 · · focus · HN ↗
          I like how tweets are now our source for giving credit to people after taking the Turing Award for CNNs.
          1. amelius · · focus · HN ↗
            CNNs were a pretty simple idea even at the time. People were using convolutions for years already in classical image processing. It&#x27;s a small step to put those computations into weights. Especially if you leave out the FFT step which neural nets don&#x27;t even use.
            1. saimiam · · focus · HN ↗
              I sometimes find myself thinking this too then challenge myself to find a low hanging fruit in an area I’m somewhat familiar with and draw a blank (usually).

              Low hanging fruit is somewhat the opposite of sour grapes - I don’t want these grapes because they were probably sour versus so what if he got those sweet grapes - they were hanging low!

              Maybe connecting “low hanging fruit” to “sour grapes” is “low hanging fruit” to some but it took a serious mental leap for me.

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