# The AGI Landscape

The AGI Landscape $\Omega$ is going to push the boundary of artificial general intelligence.

$\mathbf{\Omega} = \underset{\theta}{\arg\max}\ \mathcal{AGI}(\theta)$

Nov

# Books

## Probability

• P. Billingsley Probability and Measure (3rd Edition). Chapters 1-30 contain a more careful and detailed treatment of some of the topics of this semester, in particular the measure-theory background. Recommended for students who have not done measure theory.

• R. Leadbetter et al A Basic Course in Measure and Probability: Theory for Applications is a new book giving a careful treatment of the measure-theory background.

There are many other books at roughly the same first year graduate" level. Here are my personal comments on some.

# Reference

1. The Books: https://www.stat.berkeley.edu/~aldous/205B/index.html, by Professor David Aldous from UC Berkeley.