When I meet someone who works in a field outside of computer science, I usually
ask them a lot of questions about their field that I'm curious about. (This is
still
Introduction
There has been much recent discussion about AI risk, meaning specifically the
potential pitfalls (both short-term and long-term) that AI with improved
capabilities could create for society. Discussants include AI researchers such
[Highlights for the busy: de-bunking standard "Bayes is optimal" arguments;
frequentist Solomonoff induction; and a description of the online learning
framework.]
Short summary. This essay makes many points, each of which
I've decided to branch out a bit from technical discussions and engage in, as
Scott Aaronson would call it, some metaphysical spouting
[http://www.scottaaronson.com/blog/?cat=12]. The topic
(This is available in pdf form here
[http://web.mit.edu/jsteinha/www/stats-essay.pdf].)
If you are a newly initiated student into the field of machine learning, it
won't be