5 Matching Annotations
  1. Sep 2023
    1. the ability to do so is associated with recognizing the facts of “no self” as discussed in the opening of this section. Accepting the Bodhisattva vow brings in this way the possibility of expanding intelligence in a steady fashion—free from hesitation, disappointment, fear, and other such factors that can now be seen to arise from misperceptions of the nature of the project.
      • for: self construct - misperceptions
      • in other words
        • if the self is no longer strongly reified, but experienced nakedly as a construction, then the misperceptions that are tethered to the solidification of self cannot survive, namely:
          • hesitation
          • fear
          • disappointment
          • attachment
          • etc...
    2. Many definitions of intelligence and cognitive capacity have been debated over the centuries [28]. The problem with most existing formalisms is that they are closely tied to a specific type of subject
      • for: common denominators, in other words - common denominators

      • in other words

        • there is a need to find a common denominator of intelligence and cognition amongst this great diversity
    1. what this is supposed to be what this is supposed to be is um a framework that moves these kind of 00:15:43 questions questions of uh cognition of sentience of uh of of um intelligence and so on from the area of philosophy where people have a lot of philosophical feelings and preconceptions about what things can do 00:15:56 and what things can't do and it really uh really stresses the idea that you you can't just have feelings about this stuff you have to make testable claims
      • in other words
        • a meta transformation from philosophy to science
  2. Aug 2020
    1. The timescales on which a system’s processes run have critical consequences for its ability to predict and adapt to the future.

      A layer of architecture that is too slow to change: technical debt. (Pace layering)

    2. We also know that if individuals are bad at collecting good information – if they misinterpret data due to their own biases or are overconfident in their assessments – an aggregation mechanism can compensate.

      "wisdom of crowds"