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Meaningness's profile
David Chapman
David Chapman
David Chapman
@Meaningness

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David Chapman

@Meaningness

Better ways of thinking, feeling, and acting—around problems of meaning and meaninglessness; self and society; ethics, purpose, and value.

meaningness.com/about-my-sites
Joined September 2010

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    1. David Chapman‏ @Meaningness 3 Jul 2018
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      David Chapman Retweeted Venkatesh brrrRao

      Tfw I take AI too seriously and explain it too clearly so nobody even gets madhttps://twitter.com/vgr/status/1014307742624780288 …

      David Chapman added,

      Venkatesh brrrRao @vgr
      Replying to @sarahdoingthing
      I am entirely 100% unsurprised it isn't making anyone mad :D David is taking AI seriously in this post. It's mostly theater to the people who talk the most about. This is as relevant to the theater as astronomy is to astrology.
      1 reply 4 retweets 23 likes
    2. Venkatesh brrrRao‏ @vgr 3 Jul 2018
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      Replying to @Meaningness

      Only a sensationalist critique can penetrate a sensationalist discourse. Friend of mine has a similar problem: he writes coherently, non-sensationally and with carefully evidence about animal rights and veganism, and is surprised when he gets less traction than he expects

      2 replies 0 retweets 4 likes
      David Chapman‏ @Meaningness 3 Jul 2018
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      Replying to @vgr

      I wrote it for actual AI people, rather than singularitarians. Maybe it’s obvious to them? OTOH you’d think they’d do more science if so.

      7:04 PM - 3 Jul 2018
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      • fauxlosopher Charlie Awbery foolish executives! Robert E. P. Levy
      5 replies 0 retweets 4 likes
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        2. '*•:Ḟreyjạ:•*'‏ @utotranslucence 3 Jul 2018
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          Replying to @Meaningness @vgr

          Have a sufficient number of the AI people seen it yet?

          2 replies 0 retweets 1 like
        3. David Chapman‏ @Meaningness 3 Jul 2018
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          Replying to @utotranslucence @vgr

          I didn’t know!

          1 reply 0 retweets 0 likes
        4. 3 more replies
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        2. Alexis at-a-social-distance Gallagher‏ @alexisgallagher 3 Jul 2018
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          Replying to @Meaningness @vgr

          I was at a conference a couple weeks ago and many hallway conversation ended with “but of course no one really knows why these these systems work, or we’d also be able to explain <fill in the blank>” My impression is lots of people are tinkering while tinkering is productive.

          1 reply 0 retweets 1 like
        3. David Chapman‏ @Meaningness 3 Jul 2018
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          Replying to @alexisgallagher @vgr

          Yes… I get irritated when I’m pretty sure I can figure out why they work, and that I could teach other people to do this too. It’s dumb to be irritated about this, rather than offering to help, however!

          1 reply 0 retweets 0 likes
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        2. Venkatesh brrrRao‏ @vgr 3 Jul 2018
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          Replying to @Meaningness

          Don't know about obvious (it's the sort of argument you evaluate on solidity rather than obviousness). Coming from the adjacent field of control theory which does in fact obsess over the science/math bits of the domain (convergence/stability, new interestingness) it seemed solid

          2 replies 0 retweets 0 likes
        3. Venkatesh brrrRao‏ @vgr 3 Jul 2018
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          Replying to @vgr @Meaningness

          I think if you want to truly undermine current AI discourse, you have no real option other than to aim a broadside at Bostrom

          1 reply 0 retweets 3 likes
        4. 5 more replies
        1. Rajesh Kasturirangan‏ @ranganaut 3 Jul 2018
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          Replying to @Meaningness @vgr

          1/2 You missed out on a chance to invoke Sri. Kurzweil. In a parallel universe I might want to write a similar article about cognitive science, a field with far less hype and fewer public successes.

          0 replies 0 retweets 0 likes
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        1. Rajesh Kasturirangan‏ @ranganaut 3 Jul 2018
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          Replying to @Meaningness @vgr

          2/2 however, seeing as how a field with science in its name has devolved into feuding factions, I think both Cog Sci and AI need to see themselves as sub fields of knowledge design

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