27 Matching Annotations
  1. Last 7 days
    1. The cost goes beyond simple inefficiency and becomes a mountain of invisible labor, usually absorbed by the most junior person in the room or whoever has the misfortune of being labeled as “good with computers.” It becomes a drag on every collaboration, the friction in every workflow, the meetings that take an extra ten minutes while someone (who is often paid twice the average salary of the other people in the meeting) figures out why they can’t access the shared folder the rest of us have been using for months. It’s the quiet erosion of patience and goodwill among people who are constantly expected to know and fix things that shouldn’t need fixing in the first place.

      The cost of lack of skills is not just in the individual knowledge worker, it gets externalised to others to fix it, or multiplied in groups waiting on you to get something working. The incompetence spreads out.

  2. Dec 2025
    1. The new litmus test isn’t “Does it scale?” It’s: “Does it spread? Does it take root? Can it compost and regrow?”

      very much yes. Scaling is useless metaphor. Spread, evolution much more. Effective behaviour is contagious. Invisible hand of networks / communities [[Of Scaling TV Salons and the Invisible Hand of Networks – Interdependent Thoughts 20250803205329]]

  3. Mar 2025
  4. Sep 2024
    1. nobody told it what to do that's that's the kind of really amazing and frightening thing about these situations when Facebook gave uh the algorithm the uh uh aim of increased user engagement the managers of Facebook did not anticipate that it will do it by spreading hatefield conspiracy theories this is something the algorithm discovered by itself the same with the capture puzzle and this is the big problem we are facing with AI

      for - AI - progress trap - example - Facebook AI algorithm - target - increase user engagement - by spreading hateful conspiracy theories - AI did this autonomously - no morality - Yuval Noah Harari story

  5. Dec 2022
    1. The Gish gallop /ˈɡɪʃ ˈɡæləp/ is a rhetorical technique in which a person in a debate attempts to overwhelm their opponent by providing an excessive number of arguments with no regard for the accuracy or strength of those arguments. In essence, it is prioritizing quantity of one's arguments at the expense of quality of said arguments. The term was coined in 1994 by anthropologist Eugenie Scott, who named it after American creationist Duane Gish and argued that Gish used the technique frequently when challenging the scientific fact of evolution.[1][2] It is similar to another debating method called spreading, in which one person speaks extremely fast in an attempt to cause their opponent to fail to respond to all the arguments that have been raised.

      I'd always known this was a thing, but didn't have a word for it.

  6. Aug 2022
  7. Jan 2022
  8. Oct 2021
  9. Jul 2021
  10. Jun 2021
  11. May 2021
  12. Mar 2021
  13. Jan 2021
  14. Sep 2020
  15. Aug 2020
  16. Jul 2020
  17. Jun 2020
  18. May 2020