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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 18 May 2019
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      So how do scientists gain knowledge, if not by using the scientific method?pic.twitter.com/KaSVdLklhh

      12 replies 26 retweets 105 likes
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    2. David Chapman‏ @Meaningness 18 May 2019
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      The actual practice of science is quite similar to working in an auto repair shop. On a good day—one when you are doing real work, not writing a grant proposal—it’s mostly dealing with this sort of stuff. [From the Garfinkel et al “Hanging around in labs” paper.]pic.twitter.com/i4sxsGGGqh

      2 replies 11 retweets 31 likes
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    3. David Chapman‏ @Meaningness 18 May 2019
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      Park Doing’s PhD thesis book, on his learning to run the X-ray beam line of a football-field-sized synchrotron:pic.twitter.com/F31m4B3qbS

      1 reply 3 retweets 18 likes
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    4. David Chapman‏ @Meaningness 18 May 2019
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      I seriously considered becoming a molecular biologist, and did all the graduate-level coursework needed for a PhD. It was stuff like this that convinced me not to. [“Hanging around in labs,” p. 11.]pic.twitter.com/EgsNphhoqR

      4 replies 5 retweets 30 likes
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    5. Sebastian Raschka‏ @rasbt 18 May 2019
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      Replying to @Meaningness @ericmjl

      joke & sarcasm aside, you can probably replace "molecular biology" with pretty much any field. I.e., just do a web search for 2080Ti and NA's. Also, the fact that Nvidia cards are doing non-deterministics computations by design and default ..

      1 reply 0 retweets 0 likes
      David Chapman‏ @Meaningness 18 May 2019
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      Replying to @rasbt @ericmjl

      That’s really funny: I was mentally going through the list and thinking of CS research examples, and “GPU glitching” was one that popped right up—although I’ve never actually experienced it myself!

      10:56 PM - 18 May 2019
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        1. Sebastian Raschka‏ @rasbt 18 May 2019
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          Replying to @Meaningness @ericmjl

          never had any hardware issues with GPUs,but carrying out non-determ. comp. is def. a thing. First thing in my scripts is to manually turn on the "deterministic=True" flag when using CUDA/cuDNN-dependent code. Nvidia doesn't seem to care & regard it as an academia-world problem 🤷‍♂️

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        2. Maynard Handley‏ @handleym99 19 May 2019
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          Replying to @Meaningness @rasbt @ericmjl

          I agree w/ Sebastian, any serious debugging is like that. Novices debug at the level “what’s wrong with my code”, but pro’s know that the bug can be in the compiler, the runtime, the OS, the hypervisor, even god forbid in the HW. 1/

          1 reply 0 retweets 0 likes
        3. Maynard Handley‏ @handleym99 19 May 2019
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          Replying to @handleym99 @Meaningness and

          Every pro will have their story; mine is AltiVec code that worked properly on early PPC7400s using MacOS, not OSX. HW was buggy, MacOS had patches to trap the relevant instructions and emulate; OSX had not yet picked up those patches... //

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