16 Matching Annotations
  1. Jul 2022
    1. The ‘Great Acceleration’ graphs, originally published in 2004 to show socio-economic andEarth System trends from 1750 to 2000, have now been updated to 2010.

      Description of Great Acceleration graphs

    2. The trajectory of theAnthropocene: The GreatAcceleration
      • Title: The trajectory of the Anthropocene: The Great Acceleration
      • Author: Steffen, Will; Broadgate, Wendy; Deutsch, Lisa; Gaffney, Owen and Ludwig, Cornelia Date: 2015
    1. Since 1945 this “Great Acceleration” has permitted the tripling of the human population and the crowding-out of the rest of the planet’s biosphere. Lewis and Maslin tell us: “Populations of fish, amphibians, reptiles, birds and mammals have declined by an average of 58 percent over the last forty years… On land, if you weighed all the large mammals on the planet today, just 3 percent of that mass is living in the wild. The rest is made up of human flesh, some 30 percent of the total, with domesticated animals that feed us contributing the remaining 67 percent.”

      Fourth Transition: The Great Acceleration

      Will Steffen et al: https://journals.sagepub.com/doi/10.1177/2053019614564785

  2. Jun 2022
    1. WHY GENERALISTS TRIUMPH IN A SPECIALIZED WORLD “The most important business — and parenting — book of the year.” — Forbes “The most important business — and parenting — book of the year.” — Forbes “The most important business — and parenting — book of the year.” — Forbes “The most important business — and parenting — book of the year.” — Forbes “The most important business — and parenting — book of the year.” — Forbes ‹›

      Many university presidents site the value of basic research to fuel the more specialized research spaces.

      Example: we didn't have any application for x-rays when their basic science was researched, but now they're integral to a number of areas of engineering, physics, and health care.

      What causes this effect? Is it the increased number of potential building blocks that provide increased flexibility and complexity to accelerate the later specializations?

      Link this to: https://hyp.is/-oEI3OF5EeybM_POWlI9WQ/www.maggiedelano.com/garden/helpful-books

    1. A recent book that advocates for this idea is Range: Why Generalists Triumph in a Specialized world by David Epstein. Consider reading Cal Newport’s So Good They Can’t Ignore You along side it: So Good They Can’t Ignore You focuses on building up “career capital,” which is important for everyone but especially people with a lot of different interests.1 People interested in interdisciplinary work (including students graduating from liberal arts or other general programs) might seem “behind” at first, but with time to develop career capital these graduates can outpace their more specialist peers.

      Similar to the way that bi-lingual/dual immersion language students may temporarily fall behind their peers in 3rd and 4th grade, but rocket ahead later in high school, those interested in interdisciplinary work may seem to lag, but later outpace their lesser specializing peers.

      What is the underlying mechanism for providing the acceleration boosts in these models? Are they really the same or is this effect just a coincidence?

      Is there something about the dual stock and double experience or even diversity of thought that provides the acceleration? Is there anything in the pedagogy or productivity research space to explain it?

  3. Jul 2021
    1. There is no inactive learning, just as there is no inactive reading.

      This underlies the reason why the acceleration of the industrial revolution has applied to so many areas, but doesn't apply to the acceleration of learning.

      Learning is a linear process.

  4. Mar 2021
    1. “Big data can get us to business at the speed of thought,” says Francis deSouza, group president for enterprise products and services at Symantec.
  5. Aug 2020
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  8. Nov 2018
    1. Rethinking floating point for deep learning


      Facebook人工智能研究院的Jeff Johnson改进了一种新颖的浮点数表示法(posit),使其更加适用于神经网络的训练和推理,并在FPGA上进行了对比实验。和IEEE-754浮点数标准相比,本论文基于改进的浮点数系统,可以实现低bit神经网络训练和高效推理,不再需要后续的量化压缩过程就可以部署在嵌入式等资源受限终端。该论文提出的方法区别于神经网络模型的剪枝、量化等常规思路,直接从浮点数表示这个更加基本、底层的角度尝试解决模型的压缩加速问题,是一个很新颖的方式,且效果不错,值得深入研究。除了论文,作者还给出了代码实现和博客文章,帮助理解。

  9. Oct 2018
    1. Narratives that describe time as uniform and evolving throughout history towards more accelerated states have also been critiqued for theirpotential to reinforce social inequalities (Sharma 2014) and for justifyingthe appropriation of natural resources in unsustainable ways (Bastian 2012).

      This loosely couples with the degrowth discourses around steady state economies and possible political ecologies

  10. Oct 2017
    1. ‘Truly it would seem as if “Man strews the earth with ruin.”4 But this conclusion is too flattering to human vanity. Man's most permanent memorial is a rubbish-heap, and even that is doomed to be obliterated’ (Sherlock, 1922, p. 343

      CO2 atmospheric concentration used as simple indicator for many years to track great acceleration / progression in Anthropocence, this now joined by long list of other indicators, escalating at an alarming rate, population, water use/ shortage, paper consumption, global warming, increase in number and ferocity of storms .......

    2. In 1873, the Italian geologist and priest Antonio Stoppani suggested that our technologies, infrastructures, and patterns of land use had created fundamental changes in Earth’s systems, propelling us into what he called an ‘anthropozoic era’

      Note : Read over Article again by Will Steffen, Paull J Crutzen & John R McNeill. [] (https://www.pik-potsdam.de/news/public-events/archiv/alter-net/former-ss/2007/05-09.2007/steffen/literature/ambi-36-08-06_614_621.pdf)

      Explore development of Anthropocence. How do we track progression of Anthropocene? CO2 Emissions??