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AnimaAnandkumar's profile
Prof. Anima Anandkumar
Prof. Anima Anandkumar
Prof. Anima Anandkumar
@AnimaAnandkumar

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Prof. Anima Anandkumar

@AnimaAnandkumar

Director of #AI #research @nvidia, Bren #Professor @Caltech, Fmr Principal scientist @awscloud #Sloan fellow #Tensors Erdos #2 #dancer http://anima-ai.org 

Santa Clara, CA
tensorlab.cms.caltech.edu/users/anima/
Joined October 2014

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    1. Erik Brynjolfsson‏Verified account @erikbryn Jun 12
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      I just deleted my re-tweet of some claims about GPT and reddit. @jackclarkSF just informed me that it was misleading. It's a complex challenge: training systems to understand human language without contaminating them with some of the uglier parts of humanity.

      4 replies 2 retweets 13 likes
    2. Prof. Anima Anandkumar‏ @AnimaAnandkumar Jun 12
      • Report Tweet
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      Replying to @erikbryn @jackclarkSF

      Can you please share what is misleading about my tweet?? There are peer reviewed papers that I have cited. This is not fair to have back room discussions and not even share why such accusations are being made.

      2 replies 1 retweet 11 likes
    3. Jack Clark‏ @jackclarkSF Jun 12
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      Replying to @AnimaAnandkumar @erikbryn

      Jack Clark Retweeted Jack Clark

      https://twitter.com/jackclarkSF/status/1271545765354078209 …

      Jack Clark added,

      Jack Clark @jackclarkSF
      Replying to @erikbryn
      thanks, Erik. We discuss how we used some of the links posted on Reddit in the paper here (and we don't train on data on reddit, eg words written there) https://cdn.openai.com/better-language-models/language_models_are_unsupervised_multitask_learners.pdf … There's also bias analysis of GPT2 in research we published here: https://arxiv.org/abs/1908.09203 
      1 reply 0 retweets 2 likes
    4. Jack Clark‏ @jackclarkSF Jun 12
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      Replying to @jackclarkSF @AnimaAnandkumar @erikbryn

      Jack Clark Retweeted Jack Clark

      The very specific point was to disentangle training on links that come from places posted on reddit, as opposed to training on text broadly posted on reddi. This is in reference to a conversation we had last yr:https://twitter.com/jackclarkSF/status/1101731603020050432 …

      Jack Clark added,

      Jack Clark @jackclarkSF
      Replying to @AnimaAnandkumar @OpenAI and 4 others
      we didn't use reddit data, we used outbound links from reddit ranked at two stars or higher by users. Part of the reason for thinking about different release of this model is precisely because of issues like this (which occur in larger models also). We'll be sharing more here!
      1 reply 0 retweets 1 like
    5. Jack Clark‏ @jackclarkSF Jun 12
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      Replying to @jackclarkSF @AnimaAnandkumar @erikbryn

      And also, to clarify, this wasn't a specific comment about @VioletNPeng research paper, it was a specific comment about the way @erikbryn phrased around training data

      1 reply 0 retweets 1 like
      Prof. Anima Anandkumar‏ @AnimaAnandkumar Jun 12
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      Replying to @jackclarkSF @erikbryn @VioletNPeng

      Ok. That makes more sense. I understand it is the links from @reddit conversations but they would be supportive of problematic conversations that occur on @reddit So it's unfair to say that it is less of a problem.

      2:03 PM - 12 Jun 2020
      1 reply 0 retweets 0 likes
        1. New conversation
        2. Jack Clark‏ @jackclarkSF Jun 12
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          Replying to @AnimaAnandkumar @erikbryn and

          So on reddit we did some pre-filtering to filter out a bunch of subreddits. Then we also did some analysis on the dataset - I think some of the ways reddit shows up are in loads of D&D domains getting ingested, etc. Top1000 domains in gpt2 here:https://github.com/openai/gpt-2/blob/master/domains.txt …

          3 replies 0 retweets 0 likes
        3. June 5th Georgia Runoffs (speaking for myself)‏ @scottlegrand Jun 12
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          Replying to @jackclarkSF @AnimaAnandkumar and

          With @OpenAI's effectively bottomless pockets, it seems you could do better. Why didn't you?

          0 replies 0 retweets 1 like
        4. End of conversation

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