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Martin Leicht

The End of 'Genius' - The New York Times - 0 views

  • JOSHUA WOLF SHENK
  • The elemental collective, of course, is the pair. Two people are the root of social experience — and of creative work.
  • given that our psyches take shape through one-on-one exchanges, we’re likely set up to interact with a single person more openly and deeply than with any group
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  • he found that groups created a sense of community, purpose and audience, but that the truly important work ended up happening in pairs
  • Two people can make their own society
  • The pair is also inherently fluid and flexible
  • Three legs make a table stand in place. Two legs are made for moving
  • But nobody can hide in a pair.
  • The pair is the primary creative unit — not just because pairs produce such a staggering amount of work but also because they help us to grasp the concept of dialectical exchange.
  • And when we listen to creative people describe breakthrough moments that occur when they are alone, they often mention the sensation of having a conversation in their own minds
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    the "pair" take on creativity - no "solo" genius
Martin Leicht

Where Non-Techies Can Get With the Programming - The New York Times - 0 views

  • They aren’t going to become programmers, but they realize these are skills that will make them better lawyers
  • for example, learn to write short, tailored programs that can identify clusters of words and concepts in Supreme Court rulings more accurately than a Google search
  • Code, it seems, is the lingua franca of the modern economy.
    • Martin Leicht
       
      BIg data, by using code you fine tune your search and pull in the data/information you need.
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  • One recent institutional adaptation is the creation of so-called CS+X initiatives at schools like Stanford, Northwestern and the University of Illinois. These programs are hybrid majors that combine computing with other disciplines, including anthropology, comparative literature and history — a nod to the reality that software skills can advance research in nearly every field.
  • Today, at many universities, at least half of the student population takes the intro courses.
  • coding as a window to “computational thinking,” which involves abstract reasoning, modeling and breaking down problems into the recipelike steps of an algorithm
Martin Leicht

Learning to Think Like a Computer - The New York Times - 0 views

  • all-important concept in computer science — abstraction — in terms of milkshakes
  • The idea of abstraction,” he said, “is to hide the details.” It requires recognizing patterns and distilling complexity into a precise, clear summary
  • Concealing layers of information makes it possible to get at the intersections of things
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  • In particular, “computational thinking” is captivating educators, from kindergarten teachers to college professors, offering a new language and orientation to tackle problems in other areas of life.
    • Martin Leicht
       
      a computer follow a logical flow, so by breaking down the steps and working through the process you learn a "logic" if you will. This process can then be applied to other non computing challenges as a problem solving exercise.
  • Computer Science Principles, focused not on learning to code but on using code to solve problems.
  • computational thinking — its broad usefulness as well as what fits in the circle. Skills typically include recognizing patterns and sequences, creating algorithms, devising tests for finding and fixing errors, reducing the general to the precise and expanding the precise to the general.
Martin Leicht

Evidence That Robots Are Winning the Race for American Jobs - The New York Times - 0 views

  • For every robot per thousand workers, up to six workers lost their jobs and wages fell by as much as three-fourths of a percent,
  • the theory goes, new technology has created new jobs for software developers and data analysts
  • very little employment increase in other occupations to offset the job losses in manufacturing.
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    • Martin Leicht
       
      What will the displaced workers do in the future? They all can not work at Starbucks? They can't go work at the movies either as iTunes makes it easier to see movies at home. Can they become software engineers?
    • Martin Leicht
       
      So do we ensure we/students have the skills to transfer jobs/roles easily? The challenge of manufacturing to healthcare is difficult. The ability to learn, stands at the forefront of skills to acquire.
  • worked in Detroit for 10 years, you don’t have the skills to go into health care,” he said. “The market economy is not going to create the jobs by itself
  • Steve Mnuchin, who said at an Axios event last week that artificial intelligence’s displacement of human jobs was “not even on our radar screen,” and “50 to 100 more years” away
    • Martin Leicht
       
      Is this not a red flag in itself that the Trump Administration does not see the rise of AI as a challenge a bigger challenge?
  • and that number will rise because industrial robots are expected to quadruple.
    • Martin Leicht
       
      2.4 million robots in the workforce. They do not give a time frame?
  • but the effect on male employment was up to twice as big.
  • In an isolated area, each robot per thousand workers decreased employment by 6.2 workers and wages by 0.7 percent. But nationally, the effects were smaller, because jobs were created in other places.
  • If automakers can charge less for cars because they employ fewer people, employment might increase elsewhere in the country,
    • Martin Leicht
       
      Is this our experience that automaton enters the equation and prices get cheaper? That would be a great research project to look into.
  • cannot replicate human traits like common sense and empathy
  • new jobs created by technology are not in the places that are losing jobs, like the Rust Belt
  • From 1993 to 2007, the United States added one new industrial robot for every thousand workers — mostly in the Midwest, South and East — and Western Europe added 1.6.
  • like machine learning, drones and driverless cars — will have similar effects, but on many more people
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