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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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    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
    Show this thread
    8:14 AM - 27 Jul 2019
    • 15 Retweets
    • 80 Likes
    • Pedro Ivan Lopez Andrés Gómez Emilsson Noted Computer User Max Davis Srijit Sanyal admzmf Conor is Hiring for Roam (DMs open) Designers esp. Shaul Kfir Bryan Paget
    9 replies 15 retweets 80 likes
      1. David Chapman‏ @Meaningness 27 Jul 2019
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        I promised several follow-up posts to this one, which are still in my drafts folder. “Already back in 2015 I said DL image classifiers mostly just use texture, and the researchers are faking themselves out” is one of them. Is that boastful? Spiteful? https://meaningness.com/metablog/artificial-intelligence-progress …pic.twitter.com/FPqFbkouof

        3 replies 2 retweets 20 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
      3. 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

        2 replies 0 retweets 3 likes
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      2. lilchiva‏ @lilchiva 27 Jul 2019
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        Replying to @Meaningness

        So, this is something I don't know very much about and am simply learning. But, so far, it seems to me that almost all the DL stuff I've seen are specialized solutions. ieDeep Blue doesn't succeed without designing and adjusting it to specifically to beat Kasparov. Is that right?

        1 reply 0 retweets 1 like
      3. David Chapman‏ @Meaningness 27 Jul 2019
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        Replying to @lilchiva

        Deep Blue didn’t use deep learning as far as I know? Just tree search. You’re probably thinking of AlphaGo? I think the main observation about these is that board games are exactly the sort of thing computers are good at and people are bad at, so no surprise they do well.

        2 replies 0 retweets 6 likes
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      2. eran‏ @eran 27 Jul 2019
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        Replying to @Meaningness

        You should write an ML algorithm to decide the optimal I-told-you-so timing!

        2 replies 0 retweets 2 likes
      3. David Chapman‏ @Meaningness 27 Jul 2019
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        Replying to @eran

        As soon as I posed the problem, part of my brain was already setting up a probabilistic objective function to maximize. You can take the boy out of rationalism, but you can’t take rationalism out of the boy :)

        2 replies 1 retweet 12 likes
      4. 2 more replies
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      2. Mark ( 🧘 🧪 🧙‍♂️ 💩 ❤️)‏ @meditationstuff 27 Jul 2019
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        Replying to @Meaningness

        This struck me as maybe the first, certainly not "AI," but first non-bullshit "deep learning" paper, ever. Curious if you have any thoughts. (1) https://arxiv.org/abs/1706.03762  (2) An informal take:https://nostalgebraist.tumblr.com/post/185326092369/the-transformer-explained …

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

        I dunno, what do your find interesting there? It’s another little mechanism. Historically AI is a sequence of little mechanisms that turn out not to do anything much. GPT-2 feeds in old stuff to make what is more or less a markov chain seem focused. Big deal?

        2 replies 0 retweets 2 likes
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      2. Peter Crinklaw‏ @petercrinklaw 27 Jul 2019
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        Replying to @Meaningness

        What about GPT-2? Unlike chess, language is something humans have evolved to be very good at. Sure, the bot can only emulate a dreaming or brain damaged human, but that's still an amazing/scary feat.

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

        It’s not dramatically better than markov chain text generators from the 1979s. And how it works is obvious and uninteresting.

        0 replies 0 retweets 3 likes
      4. End of conversation

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