5 Matching Annotations
  1. Jul 2023
    1. That's the way computers are learning today. 00:02:35 We basically write algorithms that allow computers to understand those patterns… And then we get them to try and try and try. And through pattern recognition, through billions of observations, they learn. They're learning by observing. And what are they observing? They're observing a world that's full of greed, disregard for other species, violence, ego, 00:03:05 showing off The only way to be not only intelligent but also to have the right value set is that we start to portray that right value set today. THE PROBLEM IS UNHAPPINESS
      • Machine learning
        • will learn all our bad habits
        • and become supercharged, amplified versions of them
      • The antidote to apocalyptic machine learning
        • is human happiness and wisdom
  2. Mar 2023
    1. the top 1% now being responsible for 17% of total emissions, the top 10% for 48%, and the bottom half of the world population for only 12% (in 2019).

      Quotable carbon inequality stats: - the top 1% responsible for 17% of total emissions, - the top 10% for 48%, - the bottom 50% for12% - stats carbon inequality - quote carbon inequality - 2019

      // A key question is also this: - what are individuals using those carbon emissions for? - is it being used just for luxury consumption - or is it being used to develop and actionize scalable low carbon strategies? - if it is the later, it could be seen as a de-carbon investment

    2. Key drivers of individual emissions include energy-intense transportation, especially private aircraft and yachts, and multiple real estate ownership, often in different continents

      Biggest source of emissions of the elite: - yachts - private air transportation - multiple homes in different countries

      // - luxury industries of: - private jets - luxury home real estate - yachts - are unsustainable - this irresponsible, unsustainable consumption is imperiling civilization itself

  3. Apr 2022
  4. Oct 2017