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24 Oct 09

How to Learn About Everything - Eric Drexler

  • The distinction I have in mind is between knowing the inside of a topic in deep detail — many facts and problem-solving skills — and knowing the structure and context of a topic: essential facts, what problems can be solved by the skilled, and how the topic fits with others.

  • Studying to learn about everything


    I recommend that intellectually ambitious students invest considerable time in a mode of study may set off subconscious alarm signals that conflicts with almost instinctive impulses imparted by classroom experience:

How to Understand Everything (and why)

  • Formal education in science and engineering centers on teaching facts and problem-solving skills in a series of narrow topics.
  • It is true that a few topics, although narrow in content, have such broad application that they are themselves integrative: These include (at a bare minimum) substantial chunks of mathematics and the basics of classical mechanics and electromagnetism, with the basics of thermodynamics and quantum mechanics close behind.
  • 4 more annotations...
04 Oct 09

The Science of Entrepreneurship

  • I think to build a great company you need to have a well defined hypothesis based on a theory for a market's evolved future.



    And I think the most effective way to enter that market is to build a company like a scientist testing the theory. As an experiment.
  • Find a niche that is just beginning to show promise, develop a hypothesis about where that niche will go in the future, and then build a business to test that hypothesis.
09 Sep 09

Ben Goertzel - Patterns of Awareness

A Pattern-Theoretic, Panpsychist Solution to the Hard Problem of Consciousness

www.goertzel.org/...HardProblem.htm - Preview

ai article consciousness mind

On Biological and Digital Intelligence - Ben Goerztel's Review on Jeff Hawkins' 'On Intelligence'

  • The real question with this
    approach is just how far one has to abstract the principles guiding the human
    brain, in order to get something that can then be specialized to the computer
    software domain, in a way that yields tractably implementable software.
  • I think that the algorithms used in the
    brain are highly specialized to the particular properties of neural wetware,
    and that intelligent computer software – if it’s going to make at all
    reasonably efficient use of the hardware it runs on – is going to have to use
    totally different algorithms, embodying the same basic conceptual
    processes. 
  • 25 more annotations...

Three Possible Economic Models (Part 1) | Open The Future | Fast Company

  • when busts happen--and they do--the system tends towards failure rather than "soft landing."
  • the current economic downturn may well be the last one the system can stand.
  • 2 more annotations...
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