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Ben_Reinhardt's profile
Ben Reinhardt
Ben Reinhardt
Ben Reinhardt
@Ben_Reinhardt

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Ben Reinhardt

@Ben_Reinhardt

Accelerating Innovation, Intelligence Augmentation, Space, Superpowers. Past: AI @MagicLeap, Space Robots @NASA + @Cornell, medieval history @Caltech

Singapore
benjaminreinhardt.com
Joined November 2013

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    1. Venkatesh Rao‏ @vgr Nov 16

      The topic I wanted to research, and got about 1/3 the way through, was institution building in the Great Weirding. It’s the sort of thing that’s not a natural fit for any corporate funding source.

      2 replies 1 retweet 16 likes
      Show this thread
    2. Venkatesh Rao‏ @vgr Nov 16

      Current plan is to package and flush out what I have so far as a sort of “Christmas Special” about 1/5 the scope/ambition of S1.

      2 replies 0 retweets 7 likes
      Show this thread
    3. Venkatesh Rao‏ @vgr Nov 16

      A more basic problem with kickstarter type ideas is that anyone good at creating the buzz and hype for that is almost by definition going to be bad at R&D and vice versa. Content mismatch aside.

      1 reply 1 retweet 21 likes
      Show this thread
    4. Venkatesh Rao‏ @vgr Nov 16

      Writing grant proposals to satisfy a few bureaucrats is already enough of a mismatch to research personalities. Crowd-pleasing requires 10x that painful mismatch.

      2 replies 1 retweet 22 likes
      Show this thread
    5. Venkatesh Rao‏ @vgr Nov 16

      List of actually credible indie researchers 1. Stephen Wolfram (math/complexity/computation) 2. Jeff Hawkins (neuroscience) 3. John Carnack (AGI) Notice something, besides the fact they’re smart and have the right subject-matter prep? They got rich first 🙂

      7 replies 3 retweets 47 likes
      Show this thread
    6. Venkatesh Rao‏ @vgr Nov 16

      Don’t mean to be a downer. There’s possibly imaginative models that could work in indie mode that I simply haven’t thought of.

      4 replies 0 retweets 7 likes
      Show this thread
    7. Venkatesh Rao‏ @vgr Nov 16

      Many things get called “research” and a lot of ego-sensitivity gets attached to it. I think of it mainly in terms of (high risk of no valuable output)*(high ratio of invisible to visible output)*(high time demands). Let me try to pseudo-quantify this and take the ego element out:

      1 reply 1 retweet 20 likes
      Show this thread
    8. Venkatesh Rao‏ @vgr Nov 16

      1. Intelligence briefs 2. Gartneresque research 3. Investigative journalism 3. Market research 4. Broad societal trend research 5. Data-heavy trend research, pure math 6. Tech futures, humanities 7. S/W tech, social science 8. Generic STEM 9. Big science 10. Paradigm shifts

      1 reply 2 retweets 23 likes
      Show this thread
    9. Venkatesh Rao‏ @vgr Nov 16

      This scale isn’t commentary on the intelligence, creativity, or imagination of the people who do such work. Higher on the scale is simply riskier, more time-consuming, and requires more backend work, even holding the human factor constant

      3 replies 0 retweets 8 likes
      Show this thread
    10. Venkatesh Rao‏ @vgr Nov 16

      One thing I probably could do is raise funding for a small research institution/lab working on problems in the 6-8 range. Maybe 4-5 staff. The thing is I don’t want to run a research org, which is an entirely different interest/ambition than doing research. It takes a COO type.

      4 replies 1 retweet 16 likes
      Show this thread
      Ben Reinhardt‏ @Ben_Reinhardt Nov 17
      Replying to @vgr

      I'll do it.

      6:17 PM - 17 Nov 2019
      • 1 Like
      • Martin Permin
      1 reply 0 retweets 1 like
        1. Alexey Guzey‏ @alexeyguzey Nov 20
          Replying to @Ben_Reinhardt @vgr

          👆

          0 replies 0 retweets 0 likes
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