12 Matching Annotations
  1. Sep 2024
    1. Ben lions in particular uh is uh someone who's who's been pointing out this so so he and I are actually um writing a paper on um the price system as a kind of cognitive glue

      for - Michael Levin & economist Ben Lyon collaboration on price in marketplace as cognitive glue

      to - Michael Levin & economist Ben Lyon conversation on Price in the marketplace as a cognitive glue for human social superorganism - https://hyp.is/X-yNJnczEe-Nd6N02kiSVQ/www.youtube.com/watch?v=0Oo4ng6dWrQ

  2. Jul 2024
    1. the idea took hold that and this was defined by the british economist uh sydney pollard in his book called the idea of progress and i'm just 00:02:54 paraphrasing here but essentially he said the uh the i the assumption is that there's a pattern of change in history and that 00:03:07 these consist of changes in one direction only and that that direction is towards improvement

      for - definition - progress - material - economist Sydney Pollard - improvement

  3. Nov 2023
    1. NO TRADITION IS sacred—not even trick-or-treating. In recent Halloween festivities, many Americans switched to trunk-or-treating. Instead of going door-to-door on neighbourhood streets, children shuffled between cars in parking lots and collected candy from their open boots, which were bedecked by giant spiders and terrible ghouls. It was the latest demonstration of something that has long been true: cars have a remarkably tight grip on American life. America is far more car-reliant than any other big country, averaging roughly two vehicles per household. This, in turn, is linked to many ills: obesity, pollution, suburban sprawl and so on.沒有什麼傳統是神聖不可改變的,就連“不給糖就搗蛋”也不例外。在最近的萬聖節活動中,許多美國人把它改成了“後備箱討糖”。孩子們不再在街區里挨家挨戶地敲門,而是在停車場的汽車之間穿梭,從裝飾着巨型蜘蛛和可怕鬼怪的敞開的後備箱裡收集糖果。這再次反映了長期以來的一個事實:汽車在美國人的生活中擁有驚人的支配力。美國對汽車的依賴遠遠超過任何其他大國,平均每個家庭大約擁有兩輛車。而這又與許多弊病相關聯:肥胖、污染、郊區無序擴張等。

      urban/suburban sprawl 郊區無序擴張 (wiki: 城市/郊區蔓延)

    1. 即使AI狂热降温,这项技术也必然比加密技术更有用处

      有意思。Hypothesis可以註記這種有限預覽的文章,僅供閱讀文章開頭,接著就需付費、登入,才可讀剩下的內容:

      直接订阅,解锁《经济学人·商论》APP全部双语文章

  4. May 2021
  5. Aug 2020
  6. Jun 2020
  7. May 2020
  8. Mar 2019
    1. At The Economist, we take data visualisation seriously. Every week we publish around 40 charts across print, the website and our apps. With every single one, we try our best to visualise the numbers accurately and in a way that best supports the story. But sometimes we get it wrong. We can do better in future if we learn from our mistakes — and other people may be able to learn from them, too.

      This is, factually and literally speaking, laudable in the extreme.

      Anybody can make mistakes; the best one can do is to admit that one does, and publicly learn from them - if one is a magazine. This is beauteously done.