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generativist's profile
💥 (wannabe) Ƀreaker of (the Bad) Loops 💫
💥 (wannabe) Ƀreaker of (the Bad) Loops 💫
 💥 (wannabe) Ƀreaker of (the Bad) Loops  💫
@generativist

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 💥 (wannabe) Ƀreaker of (the Bad) Loops  💫

@generativist

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Palo Alto, CA
jbn.abreka.com
Joined May 2013

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     💥 (wannabe) Ƀreaker of (the Bad) Loops  💫‏ @generativist 25 Jul 2019
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    Why do distributed algorithms, systems, and processes seem inherently cool? (not rhetorical)

    5:13 PM - 25 Jul 2019
    • 3 Retweets
    • 29 Likes
    • Lev Knoblock Mark Collier 柯理怀 Claudio Nate Murray Vicki Boykis Peter Squicciarini Robert White Amy Magnus Dante
    14 replies 3 retweets 29 likes
      1. New conversation
      2. Lorin Hochstein E_TOO_MANY_FAILURE_MODES‏ @lhochstein 25 Jul 2019
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        Replying to @generativist

        My theory: they are associated with successful, large tech companies (e.g., Google, Amazon). These companies are seen as cool, and so the engineering work they do (distributed systems) is also seen as cool.

        2 replies 1 retweet 4 likes
      3. Lorin Hochstein E_TOO_MANY_FAILURE_MODES‏ @lhochstein 25 Jul 2019
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        Replying to @lhochstein @generativist

        By contrast, I don’t remember distributed systems being seen as “cool” in the 90s.

        1 reply 0 retweets 3 likes
      4. 5 more replies
      1. New conversation
      2. Marco lin‏ @marcolin91 26 Jul 2019
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        Replying to @generativist

        One very speculative suspicion is that it resonates with imaginative processes due to parallels with how brains & groups works. I once half jokingly coined a term pointing to it: 'Hebbian consensus protocols' (For those unfamiliar: Hebb coined "fire together wire together")

        2 replies 1 retweet 4 likes
      3. Robert White‏ @dsdtzero 26 Jul 2019
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        Replying to @marcolin91 @generativist

        It reminds me of the excitement students feel when they see material in math class that they can use in a physics class or (vice versa) in the same week. I think it’s tied into our sense of finding connections which makes data compression easier for us. It’s like finding sugar.

        1 reply 0 retweets 4 likes
      4. 13 more replies
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      2. Christian Nyumbayire‏ @Chritchen 25 Jul 2019
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        Replying to @generativist

        Maybe because they seem more natural compared to alternatives. Art want to imitate nature, and programmers want to be artists. Or how my grandpa used to say, only the artist is near to God. On the other side I think there are in general 2 kinds of macro groups 1/2

        1 reply 0 retweets 6 likes
      3. Christian Nyumbayire‏ @Chritchen 25 Jul 2019
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        Replying to @Chritchen @generativist

        those who find nature something to imitate (let's create complex systems, cybernetics + hayek = artificial markets) and those who find nature something to "solve" (AI. You know you are guilty lol) 2/2

        1 reply 0 retweets 3 likes
      4. 1 more reply
      1. New conversation
      2. B. capitis‏ @brazen_cabeza 25 Jul 2019
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        Replying to @generativist

        Distribution implies broader engagement.

        1 reply 0 retweets 6 likes
      3. Amy Magnus‏ @cleverclue 26 Jul 2019
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        Replying to @brazen_cabeza @generativist

        This👆🏽

        0 replies 0 retweets 1 like
      4. End of conversation
      1. Jay Graber‏ @arcalinea 25 Jul 2019
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        Replying to @generativist

        Because they're more complicated and require thinking of nodes like they have some level of autonomy

        0 replies 0 retweets 6 likes
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      2. Font of Augurs‏ @MeFromBefore 25 Jul 2019
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        Replying to @generativist

        because they are

        1 reply 0 retweets 2 likes
      3. Font of Augurs‏ @MeFromBefore 25 Jul 2019
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        Replying to @MeFromBefore @generativist

        back in 2005 or so, working for a game studio, the level processing I needed to do required *lots* of compute. I made a parallel processing engine that ran in the background on every PC in the studio was very fun to use a computer with 100 times the grunt of my desktop

        1 reply 0 retweets 1 like
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