MIRI Updates
[mathjax] An agent which is larger than its environment can: Hold an exact model of the environment in its head. Think through the consequences of every potential course of action. If it doesn’t know the environment perfectly, hold...
[mathjax] Decision theory and artificial intelligence typically try to compute something resembling $$\underset{a \ \in \ Actions}{\mathrm{argmax}} \ \ f(a).$$ I.e., maximize some function of the action. This tends to assume that we can detangle things enough to see...
The AI Alignment Forum has left beta! Dovetailing with the launch, MIRI researchers Scott Garrabrant and Abram Demski will be releasing a new sequence introducing our research over the coming week, beginning here: Embedded Agents. (Shorter illustrated version here.) Other...
This is a guest post by Oliver Habryka, lead developer for LessWrong. Our gratitude to the LessWrong team for the hard work they’ve put into developing this resource, and our congratulations on today’s launch! I am happy to announce that...
[mathjax] Suppose you want to build a robot to achieve some real-world goal for you—a goal that requires the robot to learn for itself and figure out a lot of things that you don’t already know. ((This is part...
The following is a fictional dialogue building off of AI Alignment: Why It’s Hard, and Where to Start. (Somewhere in a not-very-near neighboring world, where science took a very different course…) ALFONSO: Hello, Beth. I’ve noticed a lot of...
