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michael_nielsen's profile
michael_nielsen
michael_nielsen
michael_nielsen
@michael_nielsen

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michael_nielsen

@michael_nielsen

Searching for the numinous. Co-purveyor of https://quantum.country/ 

San Francisco, CA
michaelnielsen.org
Joined July 2008

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    1. michael_nielsen‏ @michael_nielsen 16 Nov 2018
      • Report Tweet

      In a similar vein, there’s the recent work by Bloom, Jones, Van Reenen, and Webb, suggesting that ideas are getting harder to find: https://web.stanford.edu/~chadj/IdeaPF.pdf …pic.twitter.com/cbrao49xf0

      1 reply 12 retweets 51 likes
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    2. michael_nielsen‏ @michael_nielsen 16 Nov 2018
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      This all suggests it's getting much, much harder to make progress.

      1 reply 3 retweets 19 likes
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    3. michael_nielsen‏ @michael_nielsen 16 Nov 2018
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      One response is to say "Well, it's inevitable that things get harder", and to shrug and continue on your way. But if something is requiring ~100 times the investment as formerly, it's a good idea to seriously consider whether it's possible to do better!

      2 replies 4 retweets 31 likes
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    4. michael_nielsen‏ @michael_nielsen 16 Nov 2018
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      As far as we know there's no serious, large-scale, organized institutional response to the challenge of diminishing returns in science. And given that science is a principal driver of our civilization's progress, a high-order bit for humanity, that's a problem.

      9 replies 35 retweets 130 likes
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    5. Patrick Bos‏ @egpbos 17 Nov 2018
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      Replying to @michael_nielsen

      The recent MIT ML move springs to mindhttp://news.mit.edu/2018/mit-reshapes-itself-stephen-schwarzman-college-of-computing-1015 …

      1 reply 0 retweets 0 likes
    6. michael_nielsen‏ @michael_nielsen 17 Nov 2018
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      Replying to @egpbos

      I saw the initial announcement, but don't know much more beyond that. Curious: what do you think it's doing differently? (Or do you mean that AI may ultimately make a big difference to science? I agree that may happen, & am hopeful.)

      1 reply 0 retweets 0 likes
    7. Patrick Bos‏ @egpbos 17 Nov 2018
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      Replying to @michael_nielsen

      Computing (and AI) have already transformed fields beyond recogition. I'm pretty sure there's still more to gain in many other fields, though it will require far more complex modeling (e.g. in humanities) and cross field knowledge sharing.

      1 reply 0 retweets 0 likes
    8. michael_nielsen‏ @michael_nielsen 17 Nov 2018
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      Replying to @egpbos

      Computing certainly has. I'm not sure about AI. What do you have in mind?

      1 reply 0 retweets 0 likes
    9. Patrick Bos‏ @egpbos 17 Nov 2018
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      Replying to @michael_nielsen

      Computer vision is currently totally dominated by AI. Many other fields are being assailed by AI in challenges, like NLP, medical imaging, even particle physics. I'm personally not betting on AI winning out on modeling in those fields, but it'll surely play a lasting role.

      1 reply 0 retweets 0 likes
    10. michael_nielsen‏ @michael_nielsen 17 Nov 2018
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      Replying to @egpbos

      Computer vision and NLP have always overlapped a lot with AI,& arguably been part of it. The medical imaging stuff I know of is interesting enough, but much of it seems oversold. The particle physics stuff is interesting, but a long way from taking over.

      2 replies 0 retweets 1 like
      michael_nielsen‏ @michael_nielsen 17 Nov 2018
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      Replying to @michael_nielsen @egpbos

      That said, I won't be surprised if the medical imaging stuff becomes very important over the next 5-10 years, and if that happens it will be (but isn't yet) a major success.

      11:27 PM - 17 Nov 2018
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