Posted on August 14th, 2008 at 5:20 pm by dr.hoo
Imagining the Tenth Dimension: A new way of thinking about time and space, a book by Rob Bryanton. www.tenthdimension.com
Imagining the Tenth Dimension: A new way of thinking about time and space, a book by Rob Bryanton. www.tenthdimension.com
My friend Jay Schuster just pointed me to a really fun graphical description language, which can produce beautiful images with remarkably small amounts of code.
I encourage you to check out the galleries at contextfreeart.org and try it yourself if you’re inclined.
To give you a taste of what it’s like, this snippet of code:
startshape SeedOfLife
background { b -1 }rule SeedOfLife {
DotCircle {}
6 * {rotate 60} DotCircle { y 1 }
}rule DotCircle {
180 * {rotate 2} CIRCLE { y 1 s 0.025 hue 120 sat 1 brightness 1}
}
… produces this image:
I’ve been wanting to share this blog with you all for a while. I’ve been reading it for the past four months or so and have found it to be continually interesting. It’s a blog run by Victor Niederhoffer, a semi-famous Wall Street trader who was written up in the New Yorker recently (which is how I found out about him). Wikipedia says this about him:
Victor Niederhoffer, a well known hedge fund manager, champion squash player and statistician, studied statistics and economics at Harvard University (B.A. 1964) and the University of Chicago(Ph.D. 1969). He was a finance professor at the University of California, Berkeley (1967-1972).
He’s lost all his money (and his clients’ money) two times, but has recovered both times. People aren’t sure what to think about him. His blog primarily offers insights into how any natural phenomenom relates to the market, but you’ll find just about anything there.
http://www.dailyspeculations.com/
One of his best friends is this guy named Bo Keely who has had a life so incredible that he almost seems mythical to me. He lives his life as the antithesis of a Wall Street trader (literally in a hole in the desert), but probably has the mind to be Wall Street trader. Check out one of his posts on his life and his blog:
Claude E. Shannon, founder of modern information theory, stated that it was in his 1948 paper named A Mathematical Theory of Communication. He stated that the amount of information entropy in a signal is equal to -∑p(x)log[p(x)] over the set X where p(x) is the probability that the message x out of X possible messages was received.Some just think it’s noise because they don’t want to listen.