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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 27 Jul 2019
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      David Chapman Retweeted Dagmar Monett

      Optimal timing for “I told you so” is when there’s enough evidence that you are unlikely to be wrong, yet before it’s so obvious everyone pretends “we never believed in that thing.” Already too late for me to get credit for dissing DL for years?https://twitter.com/dmonett/status/1154876433564655616 …

      David Chapman added,

      Dagmar Monett @dmonett
      A "worrying analysis": "18 [#deeplearning] algorithms ... presented at top-level research conferences ... Only 7 of them could be reproduced w/ reasonable effort ... 6 of them can often be outperformed w/ comparably simple heuristic methods." Paper: https://lnkd.in/dTaGCTv  #AI pic.twitter.com/9QNro8iw8X
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      9 replies 15 retweets 80 likes
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    2. Stephen Pimentel‏ @StephenPiment 27 Jul 2019
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      Replying to @Meaningness

      I'm more "glass half full" on this. Per the cited study, there is no doubt a great deal of froth in the published research. But there is also decent speech recognition, language translation, AlphaZero, etc.

      2 replies 0 retweets 4 likes
      David Chapman‏ @Meaningness 27 Jul 2019
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      Replying to @StephenPiment

      Well… texture recognition is mostly due to the convolutions, not the rest of the network, apparently. Speech recognition is probably timbre recognition, which is probably texture turned sideways in time, so probably the convolutions are doing almost all the work? 1/2

      8:43 AM - 27 Jul 2019
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        2. David Chapman‏ @Meaningness 27 Jul 2019
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          Replying to @Meaningness @StephenPiment

          I don’t know if any good control experiments have been done on translation? My impression from looking at Google Translate output is that the DL is mostly just emulating table lookup; the mistakes it makes seem consistent with that. 2/n

          4 replies 0 retweets 1 like
        3. David Chapman‏ @Meaningness 27 Jul 2019
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          Replying to @Meaningness @StephenPiment

          My take on AlphaGo is that it shows that go is trivial and can be brute-forced, which I find unsurprising. Again we don’t have control experiments (equal amounts of compute and smart people devoted to a less-hyped alternative) so we can’t be sure.

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        2. Maynard Handley‏ @handleym99 27 Jul 2019
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          Replying to @Meaningness @StephenPiment

          It’s unwise to dismiss texture or timbe recognition without more info. How do you know that what we’re doing isn’t ALSO mostly texture and timbre?

          1 reply 0 retweets 0 likes
        3. David Chapman‏ @Meaningness 27 Jul 2019
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          Replying to @handleym99 @StephenPiment

          In the case of timbre, it probably is. In the case of texture, tons of evidence from visual psychophysics that it isn’t. But what we’ve learned from the image classifiers is that texture is important and you can do it with convolutions, which is genuine progress and exciting.

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