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sapinker's profile
Steven Pinker
Steven Pinker
Steven Pinker
Verified account
@sapinker

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Steven PinkerVerified account

@sapinker

Cognitive scientist at Harvard.

Boston, MA
pinker.wjh.harvard.edu
Joined January 2010

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    Steven Pinker‏Verified account @sapinker Jan 18

    My first big idea in cognitive science: AI can clarify the nature-nurture debate by showing the minimum amount of innate mechanisms necessary for an intelligent system to learn something (e.g., language).https://www.dropbox.com/s/j66oiaq9ku0qtvb/Pinker%20Formal%20Models%20of%20Language%20Learning.pdf?dl=0 …

    8:02 PM - 18 Jan 2018
    • 197 Retweets
    • 677 Likes
    • Manav Parmar Luigi Rinaldi Ohne Eigenschaften 일상재조립 Mike Strayer 🍳 Thomas Cortellesi 🎃🇦🇶 Per Helge H. Larsen Matthias Apfelthaler
    25 replies 197 retweets 677 likes
      1. New conversation
      2. Harald‏ @equalitus Jan 18
        Replying to @sapinker

        How about Noam Chomsky's comment on B.F. Skinner that a dog can't learn human language regardless how much we train the dog? It's a brain thing. And this: https://freethoughtblogs.com/pharyngula/2010/08/17/ray-kurzweil-does-not-understa/ … Does #StevenPinker understand the brain? Or you think it is a machine learning thing?

        1 reply 0 retweets 0 likes
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      4. MeditationAsheville‏ @MeditationAVL Jan 19
        Replying to @l_vijay @equalitus @sapinker

        but don't forget, cognition is an EXPERIENCE, not merely information processing. An old-timely adding machine can process info, but is it experiencing? Isn't AI just a radically advanced adding machine? Attributing (inferring) consciousness could be an anthropomorphic projection.

        1 reply 0 retweets 1 like
      5. MeditationAsheville‏ @MeditationAVL Jan 19
        Replying to @MeditationAVL @l_vijay and

        i'm referring to human cognition, as we experience it. we could redefine cognition here as AI-based cognition.

        0 replies 0 retweets 1 like
      6. End of conversation
      1. New conversation
      2. Sean Jason Webb‏ @SeanJasonWebb Jan 18
        Replying to @sapinker

        pic.twitter.com/QQoDi88Zsf

        1 reply 0 retweets 1 like
      3. Rosie Notes‏ @RosieNotes Jan 18
        Replying to @SeanJasonWebb @sapinker

        lol

        0 replies 0 retweets 1 like
      4. End of conversation
      1. Matt Bury (MA ODE)‏ @matbury Jan 19
        Replying to @sapinker

        Only if you take the narrow, structure-focused view of language. A broader evolutionary and ontological view shows this to be one small part of a bigger puzzle, i.e. the socio-cognitive preconditions for symbolic communication: Tomasello, M. (2010) Origins of Human Communication.

        0 replies 0 retweets 1 like
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      1. New conversation
      2. Robert Sperry‏ @rws1st Jan 18
        Replying to @sapinker

        If an AI system can do the work of both biological evolution and neural systems and develop language, how would that impact the nature-nurture debate?

        2 replies 0 retweets 0 likes
      3. I love Astrid S‏ @JedBrown5 Jan 18
        Replying to @rws1st @sapinker

        I'm trying to understand that too... Nurture is the adaptation side. Learning is adaptation... so I assume it has to do with starting to map out how things are learned with intent to be more accurate with categories.

        0 replies 0 retweets 1 like
      4. End of conversation
      1. Sophistry.co‏ @sophistryco Jan 22
        Replying to @sapinker

        After that, please study the minimum amount of innate mechanisms necessary for an intelligent system to unlearn something (e.g. bias).

        0 replies 0 retweets 0 likes
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      1. stephen‏ @WestcoastEthos Jan 19
        Replying to @sapinker

        @evantthompson

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      1. Matt Bury (MA ODE)‏ @matbury Jan 19
        Replying to @sapinker

        Otherwise, you end up with this: http://languagelog.ldc.upenn.edu/nll/?p=31831 

        0 replies 0 retweets 0 likes
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      1. Paul Cassidy‏ @paulhcassidy53 Jan 19
        Replying to @sapinker

        But the minimum number needed for fast computers may not be the number that actually supported human learning. Blank slate-ish learning, based on very few innate mechanisms, could be possible for AI. But less efficient and not what happened.

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      1. Britt Kim‏ @okayplanet Jan 19
        Replying to @sapinker

        Your abstract has some academese.

        0 replies 0 retweets 0 likes
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      1. Juan.Rodríguez‏ @JuanRod21328223 Jan 19
        Replying to @sapinker

        Thanks for sharing

        0 replies 0 retweets 0 likes
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      1. BP‏ @BadgerPundit Jan 19
        Replying to @sapinker

        Over to you, @Steve_Sailer.

        0 replies 0 retweets 0 likes
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      1. Chris Kohler‏ @Chris8Kohler Jan 19
        Replying to @sapinker

        Thank you kindly for keeping it accessible to ones unable to pay!!

        0 replies 0 retweets 0 likes
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      1. Richard Heathfield  🇬🇧‏ @rjheathfield Jan 19
        Replying to @sapinker

        Once we've established that, how do we show the minimum amount of innate mechanisms necessary for a Member of Parliament (or Congressman) to learn something (e.g. deductive reasoning).

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      1. Sonali Sengupta‏ @sengupso Jan 19
        Replying to @sapinker

        !

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