March 7, 2012
Years ago when I was unemployed, I kept a detailed log of how I was spending my time. It helped me stay focused. I haven't been recording much recently. I wish I had an objective way to measure the hydrogen sulphide levels on my breath. I don't trust dentists and I think the social pressure to spend 1.2% of your life on oral hygiene is ridiculous. The recommendation of "twice a day for 2 minutes" isn't actually based on anything but is rather the maximum any normal person would ever tolerate. That said, I know that some people are sensitive to bad breath and I want to find the optimal way of avoiding it. Currently, I just drink a cup of coffee every morning so my breath smells like coffee instead of something else.
When I was unemployed, I kept my daily log in a color coded excel sheet. I tracked 7 categories of activity. While I was able to draw some conclusions to help me increase work-finding related activities, the biggest advantage was simply admitting the percentage of time I spent on unproductive things and giving me a metric by which to judge my success.
I wrote a poem about existence as a self-aware pattern in the universal harmony: http://goo.gl/9jnBe I paid some artists to draw interpretations of the poem, it was lots of fun: http://goo.gl/4uDgU I am interested in programming Neural Networks, I would love to have a place to discuss academic papers about machine intelligence. I am fascinated with searching problems and quantitative crowd sourcing analysis. I hope to one day do it professionally and pursue a doctorate doing related research. One of the challenges of testing a crowd sourcing theory is the need for a large human crowd. Human crowds often oppose implementation changes despite an theory's observed short comings. My proposal is to develop artificial intelligence tools to simulate large crowds in closed environments, then use the tools to develop some crowd sourcing application, expose the applications to a human crowd and compare predictions with observations.
Hi, I'm a programmer at a company called Scantron. In college I worked with serialized neural networks with applications to High Dimensional Analogs of Language under Professor Curt Burgess. I have projects and I'm hoping to find others interested.