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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. Spencer Peters‏ @spencerjpeters 1 Nov 2018
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      @Meaningness I wondered if you have any recommendations for young generalists. 50,000 feet: grad school? Why or why not? Brushing the treetops: any institutions or topics or analogies promising for foundational research in AI? (MIT CSAIL? Causality? Kahneman's System 1 vs 2?)

      1 reply 0 retweets 0 likes
    2. David Chapman‏ @Meaningness 1 Nov 2018
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      Replying to @spencerjpeters

      Hmm… I’d like to be helpful but it’s hard to be specific without knowing a lot more about you and your interests; and also I’ve been out of academia for a very long time!

      1 reply 0 retweets 1 like
    3. David Chapman‏ @Meaningness 1 Nov 2018
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      Replying to @Meaningness @spencerjpeters

      I’d say: don’t do grad school unless you have a really good reason to. It takes several of the best years of your life and a lot of money, and unless you know exactly what you want to do there and why it may be time wasted.

      1 reply 0 retweets 1 like
    4. David Chapman‏ @Meaningness 1 Nov 2018
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      Replying to @Meaningness @spencerjpeters

      OTOH, if you do want to do fundamental research, it’s nearly impossible without at least a Master’s degree and probably a PhD. Not quite impossible though!

      1 reply 0 retweets 1 like
    5. Spencer Peters‏ @spencerjpeters 2 Nov 2018
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      Replying to @Meaningness

      No worries! This is hardly the venue for maximal specificity ;) My interests are all over the place anyway. I'm just trying to figure out how to do the most important and interesting work I can. I'm leaning towards grad school because I like using/building mathematical systems.

      1 reply 0 retweets 0 likes
    6. Spencer Peters‏ @spencerjpeters 2 Nov 2018
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      Replying to @spencerjpeters @Meaningness

      Examples: I can pick systems like abstract interpretation up very quickly. I just did an NSF fellowship proposal on assessing the quality of nanodevice simulations, but I also wrote a proposal describing an IDE for mathematical reasoning.

      1 reply 0 retweets 0 likes
    7. Spencer Peters‏ @spencerjpeters 2 Nov 2018
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      Replying to @spencerjpeters @Meaningness

      Outside grad school, I can't find a clear path for developing these kinds of skills and earning credibility. Startups look extremely difficult, and engineering jobs seem like mostly writing glue code! As a grad student, I can do research internships, take time to just learn...

      1 reply 0 retweets 0 likes
    8. Spencer Peters‏ @spencerjpeters 2 Nov 2018
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      Replying to @spencerjpeters @Meaningness

      But maybe I should attempt an "entrepreneurial" path through industry--try to get a rep for building useful systems and work my way up to more important and interesting projects. I know you don't have enough details, but what's your gut reaction to this analysis?

      1 reply 0 retweets 0 likes
    9. David Chapman‏ @Meaningness 2 Nov 2018
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      Replying to @spencerjpeters

      Yes your interests do sound like a better match for grad school. Maybe look for an interdisciplinary program? The MIT Media Lab comes to mind. (It’s not particularly about media.)

      1 reply 0 retweets 1 like
    10. Spencer Peters‏ @spencerjpeters 2 Nov 2018
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      Replying to @Meaningness

      I think that is a very good idea! I've probably been too focused on artificial intelligence programs, which belies a bit wishful thinking about the specificity of my interests ;) I will go investigate the MIT Media Lab and look into other interdisciplinary programs.

      2 replies 0 retweets 0 likes
      David Chapman‏ @Meaningness 2 Nov 2018
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      Replying to @spencerjpeters

      Well if you want to do AI, then go for it! Presumably you know which schools have strong programs in the area

      11:25 AM - 2 Nov 2018
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        2. Spencer Peters‏ @spencerjpeters 2 Nov 2018
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          Replying to @Meaningness

          I think so! I'm just a little bit concerned about the culture of evaluating ideas by their performance metrics on challenge datasets--it seems like a recipe for hacks and premature optimization. I'm trying to find groups working from a more first-principles perspective.

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        3. David Chapman‏ @Meaningness 2 Nov 2018
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          Replying to @spencerjpeters

          Good (imo). I think the current round of ML enthusiasm will have run out before you’d finish grad school, so better not to hitch your wagon to it.

          0 replies 0 retweets 0 likes
        4. End of conversation

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