11 Matching Annotations
  1. Mar 2020
    1. but I am sure that it is close enough to reality to help us make sense of the idea that the consequences for intellec- tual development of one innovation could be qualitatively greater than the cumulative quantitative effects of a thousand others.

      zero to one, beats one to infinity

  2. Feb 2020
    1. And we can, right now, today, prepare powerful ways of thinking for these people. We can build the tools that make it possible to think that thing. We cannot see the thing. At all. My job is to make sure our children can.

      victor

    1. We want direct, interactive control of each parameter, so we can go forward and backward, stop, and jump to arbitrary positions. This allows us to travel freely around the territory, investigate areas of interest, and pose and verify hypotheses as quickly we think of them.

      victor #interaction #design #system

    2. Designing a system requires designing a model for the input data. This can be as much art, and as much challenge, as designing the structure itself. Sometimes we can use real-life data — a stock market predictor has plenty of historical data to scoop up. But if we want to understand how the data influences the behavior, we need to be able to control it. We need dimensions, like our road's bend angle, where we can try "more of this" and "less of that". Sometimes we can get these dimensions by organizing real-life data in some way. Sometimes it's easier to synthesize our data, so we can control its characteristics precisely.

      victor #model #design

    3. alue changes lend themselves more readily to interactive control and abstraction. But structural changes usually have more impact, and it's important to consider how they can be explored and abstracted over.

      note

    4. Real-world systems may be more complex, but they all share the same general anatomy: an independent variable (such as time), a structure (such as an algorithm), and a dataset (such as an environment).

      .

  3. May 2019