Tweet activity

October 2021

Your Tweets earned 224.0K impressions over this 31 day period

20.0K10.0K10Oct 3Oct 10Oct 17Oct 24Oct 31
Your Tweets
During this 31 day period, you earned 7.2K impressions per day.
  • Impressions
    Engagements
    Engagement rate
    • 𝔊𝔴𝔢𝔯𝔫 @gwern Oct 9 (Not to criticize Norvig! I think we were just epistemically unlucky. Like heliocentrism, the rational thing was to disbelieve. "OK bro, it's a nice idea, but we clearly do *not* see any parallax, and for that to be true, the universe would have to be... absurdly big numbers.")
      7,828
      274
      3.5%
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    • 𝔊𝔴𝔢𝔯𝔫 @gwern Oct 30 Generative artists sometimes deprecate larger models, saying "glitches are what make it good". But glitches are far more interesting against high-quality. "An elephant has 5 legs". Lol? I'd rather read a monograph rigorously working out consequences (w/memes mocking 'squares')!
      6,722
      209
      3.1%
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    • 𝔊𝔴𝔢𝔯𝔫 @gwern Oct 18 Design by compression: pg evaluates languages by lines to a web server; Wirth required Oberon compiler features to speed up self-compilation; STEPS remained within 20kloc; some researchers/devs use package repos (eg CRAN or Debian). What different quantities do these minimize?
      5,364
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      2.7%
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    • 𝔊𝔴𝔢𝔯𝔫 @gwern Oct 12 I feel like a lot of things could use that trick. Like web serials could have one per major character. I bet authors could commission a set of 5-10 nice decorative designs for $500 easy and it'd make chapters that much nicer to read through. Could also show character progression.
      5,112
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    • 𝔊𝔴𝔢𝔯𝔫 @gwern Oct 19 Worth mentioning is Anima Anandkumar (Nvidia/Caltech); when she posted her enemies list in Dec 2020 to coordinate attacks on Pedros Domingos and anyone associated, people were reporting themselves added for apparently as little as a single Like.
      4,965
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      4.2%
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    • 𝔊𝔴𝔢𝔯𝔫 @gwern Oct 3 I know I'm very comforted when I see only 2 researchers on every paper, with no recent papers, one of which owns a company selling virus tests, and a monocasual explanation wildly at odds with minor things like obesity GWASes, w/differences like '50 pounds' vs '3 pounds'...
      4,651
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      3.0%
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    • 𝔊𝔴𝔢𝔯𝔫 @gwern Oct 24 Shower thought: bananas are good/cheap but hard to bulk buy because of the ripening problem - can't get a good sequence. Ethylene gas rises, so it can slow a batch by ventilation. But what if we stack bananas between vertical glass plates ||? Top ripens fastest, overall gradient.
      4,437
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    • 𝔊𝔴𝔢𝔯𝔫 @gwern Oct 9 I disagree. People who talk openly about AGI get criticized and mocked a lot more for 'worrying about Terminator' or 'overpopulation on Mars' or 'distracting from the *real* AI bias problems'. Look at Schmidhuber, Sam Altman, Sutskever... "Serious" "respectable" people don't AGI.
      4,034
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      3.9%
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    • 𝔊𝔴𝔢𝔯𝔫 @gwern Oct 12 Because it didn't do either one of those? The $1b investment was for equity in the OA LP itself, and the GPT-3 exclusive deal made later on was for access to the code, not the trained model OA runs.
      3,676
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      1.6%
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    • 𝔊𝔴𝔢𝔯𝔫 @gwern Oct 28 "Oh, I'm sorry, we can't pay you in real cash. Just in exposure (to 0.01% of the upside). Wait, wait, where are you going?"
      3,585
      44
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    • 𝔊𝔴𝔢𝔯𝔫 @gwern Oct 5 "Root-cause analysis results: powerstrip had exposed power switch; no UPS was available to take over in any power failure; inadequate persistence to disk of files. Recommended remediations: powerstrip with cover; install UPS; decrease editor timeout; schedule orphanage visit."
      3,307
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      2.4%
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    • 𝔊𝔴𝔢𝔯𝔫 @gwern Oct 15 No, "death of the author". I've read too many interviews with creators to believe that their personal preferences or opinions have much correlation with what I or everyone else values/enjoys in their work. The first time, shocking. 100th time, like being nude in front of a dog.
      3,186
      62
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    • 𝔊𝔴𝔢𝔯𝔫 @gwern Oct 17 The Netflix one is better than their current one, which is just the word 'Netflix' in red. (It doesn't even have the fun outline/dropshadows it used to have, blandifying it further.)
      3,129
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Engagements
Showing 31 days with daily frequency
Engagement rate
3.9%
Oct 31
4.0% engagement rate
Link clicks
1.7K
Oct 31
170 link clicks
On average, you earned 54 link clicks per day
Retweets without comments
0
Oct 31
0 Retweets without comments
On average, you earned 0 Retweets without comments per day
Likes
2.2K
Oct 31
92 likes
On average, you earned 70 likes per day
Replies
206
Oct 31
5 replies
On average, you earned 7 replies per day