MIRI Updates
Embedded Curiosities
This is the conclusion of the Embedded Agency series. Previous posts: Embedded Agents — Decision Theory — Embedded World-ModelsRobust Delegation — Subsystem Alignment A final word on curiosity, and intellectual puzzles: I described an embedded agent, Emmy,...
Subsystem Alignment
[mathjax] You want to figure something out, but you don’t know how to do that yet. You have to somehow break up the task into sub-computations. There is no atomic act of “thinking”; intelligence must be built up of...
Robust Delegation
[mathjax] Because the world is big, the agent as it is may be inadequate to accomplish its goals, including in its ability to think. Because the agent is made of parts, it can improve itself and become more capable. Improvements...
Embedded World-Models
[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...
Decision Theory
[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...
October 2018 Newsletter
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...