6 Matching Annotations
  1. Mar 2018
    1. Through decades of work by legions of scientists, we now know that the process of Darwinian evolution tends to lead to an increase in the information coded in genes. That this must happen on average is not difficult to see. Imagine I start out with a genome encoding n bits of information. In an evolutionary process, mutations occur on the many representatives of this information in a population. The mutations can change the amount of information, or they can leave the information unchanged. If the information changes, it can increase or decrease. But very different fates befall those two different changes. The mutation that caused a decrease in information will generally lead to lower fitness, as the information stored in our genes is used to build the organism and survive. If you know less than your competitors about how to do this, you are unlikely to thrive as well as they do. If, on the other hand, you mutate towards more information—meaning better prediction—you are likely to use that information to have an edge in survival.

      There are some plants with huge amounts of DNA compared to their "peers" perhaps these would be interesting test cases for potential experimentation of this.

  2. Jul 2017
    1. maybe there’s more that you can get for free

      Most of what's here in this article (and likely in the underlying papers) sounds to me to have been heavily influenced by the writings of W. Loewenstein and S. Kauffman. They've laid out some models/ideas that need more rigorous testing and work, and this seems like a reasonable start to the process.

      The "get for free" phrase itself is very S. Kauffman in my mind. I'm curious how many times it appears in his work?

    2. Any claims that it has to do with biology or the origins of life, he added, are “pure and shameless speculations.”

      Some truly harsh words from his former supervisor? Wow!

    3. The situation changed in the late 1990s, when the physicists Gavin Crooks and Chris Jarzynski derived “fluctuation theorems” that can be used to quantify how much more often certain physical processes happen than reverse processes. These theorems allow researchers to study how systems evolve — even far from equilibrium.

      look at these papers

  3. May 2016
    1. “DNA as Information” Theme issue compiled and edited by Cartwright, J.H.E., Giannerini, S., & Gonzalez, D.L. Philosophical Transactions of the Royal Society A 374 (2016).

      Dig this up and read it

    2. Criticality may be everywhere.

      This seems very similar to S. Kauffman's thesis in At Home in the Universe.