I have lurked on Less Wrong since Day 0. I found Overcoming Bias from Economics blogs I used to follow closely (Marginal Revolution, &c.) I now have my toe in the water here, having been unable to resist joining the Jaynes Probabiity Language of Science study group.
I came to Rationalism firstly by way of Physics and Mathematics, secondly by way of Philosophy. In college I used to do my problem sets in the Philosophy section of the library and my break time was devoted to Plato and to Aristotle and to Hume and the rest of those dead white guys.
After college in California I moved to the Gulf Coast and to do seismic for the oil industry. I have been using AI algorithms since 1992, which have a large number of seismic applications. If anybody is interested, I could point you to some references which have presentations and source material which compare with any I have seen.
I am also interested in applications of AI for finance and quantitative and technical analysis of asset and commodities prices. At this point I am near to a complete ignoramus on this subject and am keen to listen to and learn from anybody with a similar interest.
My mentor in spirit is Richard Feynman and I am trying to follow his advice as closely as possible. First, solve easy problems. Then keep working and keep solving harder and harder problems. Eventually you may find you have solved a problem that nobody has solved yet!
applications of AI for finance and quantitative and technical analysis of asset and commodities prices. At this point I am near to a complete ignoramus on this subject and am keen to listen to and learn from anybody with a similar interest.
Me too, but why would someone who knows something about AI applications for finance and quantitative analysis teach anyone else about the subject?
Me too, but why would someone who knows something about AI applications for finance and quantitative analysis teach anyone else about the subject?
Teaching and learning do not have to be restricted to one direction. Two heads might be better than one! Have you ever heard a college course Teaching Assistant tell you he learned more from classes where he TA’d than from most classes where he was a student?
I am also interested in applications of AI for finance and quantitative and technical analysis of asset and commodities prices. At this point I am near to a complete ignoramus on this subject and am keen to listen to and learn from anybody with a similar interest.
I don’t know how isomorphic the cases are, but Francis Spufford’s Red Plenty, fresh off the presses, is about the attempt by 60s-era Soviet reformers to implement cybernetic planning. While I haven’t read it, I’ve seen glowing reviews from both opponents and proponents of planning.
Hi all.
I have lurked on Less Wrong since Day 0. I found Overcoming Bias from Economics blogs I used to follow closely (Marginal Revolution, &c.) I now have my toe in the water here, having been unable to resist joining the Jaynes Probabiity Language of Science study group.
I came to Rationalism firstly by way of Physics and Mathematics, secondly by way of Philosophy. In college I used to do my problem sets in the Philosophy section of the library and my break time was devoted to Plato and to Aristotle and to Hume and the rest of those dead white guys.
After college in California I moved to the Gulf Coast and to do seismic for the oil industry. I have been using AI algorithms since 1992, which have a large number of seismic applications. If anybody is interested, I could point you to some references which have presentations and source material which compare with any I have seen.
I am also interested in applications of AI for finance and quantitative and technical analysis of asset and commodities prices. At this point I am near to a complete ignoramus on this subject and am keen to listen to and learn from anybody with a similar interest.
My mentor in spirit is Richard Feynman and I am trying to follow his advice as closely as possible. First, solve easy problems. Then keep working and keep solving harder and harder problems. Eventually you may find you have solved a problem that nobody has solved yet!
Me too, but why would someone who knows something about AI applications for finance and quantitative analysis teach anyone else about the subject?
Teaching and learning do not have to be restricted to one direction. Two heads might be better than one! Have you ever heard a college course Teaching Assistant tell you he learned more from classes where he TA’d than from most classes where he was a student?
As the old Latin saying goes, Qui docet, discit. (“He who teaches, learns.”)
I don’t know how isomorphic the cases are, but Francis Spufford’s Red Plenty, fresh off the presses, is about the attempt by 60s-era Soviet reformers to implement cybernetic planning. While I haven’t read it, I’ve seen glowing reviews from both opponents and proponents of planning.