Whoa, awesome! Aligns well with my current interests. A lot of great insights there...
I have also started a pursuit of learning useful concepts/models explicitly.
Some useful resources:
Model Thinking course on Coursera
Mental models by Gabriel Weinberg
Creating a Latticework of Mental Models: An Introduction
And, of course, the Useful Concepts Repository @ LessWrong
I am highly interested in AI safety research. Unfortunately, I do not have a strong math background and I live in an area distant from AI research. After spending some time thinking about my future I have come to the decision to go for a math intensive PhD in some area not far from MIRI or FLI. I have only the bachelor degree in Engineering with major in Computer Science and Software Engineering. Currently, I spend most of my time working full time as a software developer, preparing for a GRE general exam and thinking about PhD and FAI.
Andrew Critch from MIRI and Berkeley is very enthusiastic about pursuing the PhD. He suggested the Statistics. I would be glad to know your opinions about PhD/AI & FAI research. Here is a list of some questions, which are bothering me.
I'm going to apply for AI research related PhD this year. I want to start some research project in the near future with a goal of learning and increasing the chances of successful PhD admission. It's very likely that the domain of this research project will lie close to ML or MIRI research agenda.
I have only a bachelor degree in Engineering (CS and Software Engineering). I work as a software engineer and spend evenings by preparing for GRE, thinking and learning about FAI. Probably will do something with my job to free more time.
My timezone: UTC+6.
I have listened to audiobooks for about a 6 months. Recently I started to spend less time on audiobooks and more time on thinking. Not much evidence is gathered, by so far thinking while walking seems more useful for me.