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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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    1. Max Little‏ @MaxALittle Feb 15
      • Report Tweet

      Max Little Retweeted OpenAI

      Impressive what sheer scale can do. One potential weakness: trained on high-quality, curated data. I wonder what happens when you introduce typos or odd characters into the seed paragraph?https://twitter.com/OpenAI/status/1096092704709070851 …

      Max Little added,

      0:37
      OpenAIVerified account @OpenAI
      We've trained an unsupervised language model that can generate coherent paragraphs and perform rudimentary reading comprehension, machine translation, question answering, and summarization — all without task-specific training: https://blog.openai.com/better-language-models/ … pic.twitter.com/360bGgoea3
      2 replies 0 retweets 11 likes
      Show this thread
    2. Max Little‏ @MaxALittle Feb 16
      • Report Tweet

      @GaryMarcus A bit more sleuthing: the examples generated here are largely patched together snippets of text you can readily find online. I guess this is obvious, but the sheer scale makes it look very impressive. Relevant discussion:https://www.reddit.com/r/MachineLearning/comments/aqlzde/r_openai_better_language_models_and_their/ …

      2 replies 1 retweet 27 likes
      Show this thread
    3. Sam Bowman‏ @sleepinyourhat Feb 16
      • Report Tweet
      Replying to @MaxALittle @GaryMarcus

      Say more? My impression from reading the paper and playing with the demo is that they usually use a generation algorithm (sampling uniformly from the top K predicted words) that makes this impossible.

      2 replies 0 retweets 1 like
    4. Piero Molino‏ @w4nderlus7 Feb 16
      • Report Tweet
      Replying to @sleepinyourhat @MaxALittle @GaryMarcus

      It depends on how skewed is the distribution of probability anong those top k. This sampling strategy just makes it harder, not impossible. It’s not a feat of the model but a trick for sampling from it. Without it, I would suspect the model would be doing even more copying

      2 replies 0 retweets 3 likes
    5. Sam Bowman‏ @sleepinyourhat Feb 16
      • Report Tweet
      Replying to @w4nderlus7 @MaxALittle @GaryMarcus

      I'm sure that there's plenty of copying-like behavior, but this still seems enough to disrupt that and require the model to generate novel coherent text. I'm not sure what the model vs. sampling distinction changes anything—in any case, it can generate coherent-ish novel text.

      1 reply 0 retweets 3 likes
    6. Sam Bowman‏ @sleepinyourhat Feb 16
      • Report Tweet
      Replying to @sleepinyourhat @w4nderlus7 and

      I don't love the hype, the release policy, or the focus on zero-shot evaluation, but this really does feel like a big qualitative improvement in language modeling.

      3 replies 0 retweets 3 likes
      Gary Marcus‏ @GaryMarcus Feb 16
      • Report Tweet
      Replying to @sleepinyourhat @w4nderlus7 @MaxALittle

      It’s a big improvement in certain aspects of language generation. Not sure it is genuine advance in comprehension.

      3:53 PM - 16 Feb 2019
      • 4 Likes
      • Chomba Bupe Terence Plizga Max Little Piero Molino
      1 reply 0 retweets 4 likes
        1. New conversation
        2. Sam Bowman‏ @sleepinyourhat Feb 16
          • Report Tweet
          Replying to @GaryMarcus @w4nderlus7 @MaxALittle

          Sounds about right. Definitely using *language modeling* in the narrow sense here, though I am curious what happens when you use this to build a BERT-style system that you can more easily manipulate.

          1 reply 0 retweets 2 likes
        3. Piero Molino‏ @w4nderlus7 Feb 17
          • Report Tweet
          Replying to @sleepinyourhat @GaryMarcus @MaxALittle

          Loving this discussion. I like Gary’s synthesis: advance in generation, not so much in understanding. The recent paper from Lake and Baroni can give concrete hints on how to move forward.

          1 reply 1 retweet 5 likes
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