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GaryMarcus's profile
Gary Marcus
Gary Marcus
Gary Marcus
@GaryMarcus

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Gary Marcus

@GaryMarcus

CEO/Founder of http://Robust.AI ; cognitive scientist, and best-selling author. New book: http://Rebooting.AI : Building Artificial Intelligence We Can Trust

garymarcus.com
Joined December 2010

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    Gary Marcus‏ @GaryMarcus 8 Dec 2018
    • Report Tweet

    Gary Marcus Retweeted Yves Bergquist

    Bingo. So many people think they can do NLU (or robotics, or even driving) without having a commonsense knowledge database, and I just don’t see how that’s remotely possible.https://twitter.com/punkstrategy/status/1071560512662515712 …

    Gary Marcus added,

    Yves Bergquist @punkstrategy
    Replying to @ylecun @GaryMarcus
    This is where I think ML leaders go off the rails: they completely step over knowledge representation, which is a foundational field in #ai. Zero talk of storing vectors and latent variables in graphs, where reasoning can be applied and symbols emerge. Baffling
    5:06 PM - 8 Dec 2018
    • 18 Retweets
    • 56 Likes
    • Oxana Zeitler Chamonix Socialist Ibrahim Rasim peteinarlington Kenneth Anderson Ulrich Junker Themos Stafylakis Guillermo Puebla Omar Samir
    7 replies 18 retweets 56 likes
      1. New conversation
      2. Ben Sprecher‏ @bensprecher 8 Dec 2018
        • Report Tweet
        Replying to @GaryMarcus

        Why a "database"? How is all of the incredible work on embeddings not storage and representation of knowledge? Just because it's in a form that we humans can't directly interpret (like, need I point out, is true for our OWN brain's knowledge "database") doesn't mean it's garbage

        1 reply 0 retweets 1 like
      3. Gary Marcus‏ @GaryMarcus 8 Dec 2018
        • Report Tweet
        Replying to @bensprecher

        a. did i say it was garbage? or just not adequate for the task? b. have a look at BERT, best embeddings Google can buy, still can’t do Winograd Schemas or discourse comprehension c. knowledge base would have been better; i don’t literally mean SQL etc

        1 reply 0 retweets 2 likes
      4. 3 more replies
      1. New conversation
      2.  🚗E 🚌P 🚚D 🚲  ☂️‏ @EricPaulDennis 8 Dec 2018
        • Report Tweet
        Replying to @GaryMarcus

        I think this was forgivable 3-5 years ago. Even I was open to the possibility that appropriately guided machine learning could create human-equivalent automated driving. But now it's clear that some unknown breakthrough is needed for that to happen.

        1 reply 0 retweets 4 likes
      3. Paul Topping‏ @PaulTopping 8 Dec 2018
        • Report Tweet
        Replying to @EricPaulDennis @GaryMarcus

        It has been known since AI Winter #1 but it gets ignored a lot. Plenty of examples. Researchers foolishly think "If only I had more data!"

        1 reply 0 retweets 1 like
      4. 2 more replies
      1. darrylsj‏ @darrylsj 9 Dec 2018
        • Report Tweet
        Replying to @GaryMarcus

        Until AGI “knows” that gravity falls down and no matter what strange image is presented. Certain fact are imputable we will not proceed with AGI. After AGI knows about the concrete physical world then it can be trained to imagine a world with different gravity, but not until

        0 replies 0 retweets 1 like
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      1. Sam McDougle‏ @smickdougle 9 Dec 2018
        • Report Tweet
        Replying to @GaryMarcus

        also figuring in possibility that evolution has had millions of years to give us some commonsense priors

        0 replies 0 retweets 1 like
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      1. New conversation
      2. Peter Skomoroch‏Verified account @peteskomoroch 8 Dec 2018
        • Report Tweet
        Replying to @GaryMarcus

        I can see why DL researchers want to capture these relationships somehow without an explicit database. For practical purposes in NLU agree it is necessary today. There may be some ways to encode “common sense” knowledge into networks as forbidden or highly unlikely patterns...

        2 replies 0 retweets 1 like
      3. Peter Skomoroch‏Verified account @peteskomoroch 8 Dec 2018
        • Report Tweet
        Replying to @peteskomoroch @GaryMarcus

        Reminded of this @SebastianSeung paper: https://papers.nips.cc/paper/1793-permitted-and-forbidden-sets-in-symmetric-threshold-linear-networks.pdf …

        0 replies 0 retweets 0 likes
      4. End of conversation
      1. Dan Brickley‏ @danbri 8 Dec 2018
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        Replying to @GaryMarcus

        SQL'99 or SQL:2016?

        0 replies 0 retweets 0 likes
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      1. Dr Jochen L Leidner‏ @jochenleidner 8 Dec 2018
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        Replying to @GaryMarcus

        I’d say the KB may even be secondary, but there’s an overlooked need for a representational mechanism that many “neural” NLP systems lack; a positive exception is work at Groningen by the group of Johan Bos and their DRT work (Groningen Meaning Bank).

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