For many years, MIRI’s goal has been to resolve enough fundamental confusions around alignment and intelligence to enable humanity to think clearly about technical AI safety risks—and to do this before this technology advances to the point of potential catastrophe....
I recently gave a talk at Google on the problem of aligning smarter-than-human AI with operators’ goals: The talk was inspired by “AI Alignment: Why It’s Hard, and Where to Start,” and serves as an introduction to the...
We concluded our 2016 fundraiser eleven days ago. Progress was slow at first, but our donors came together in a big way in the final week, nearly doubling our final total. In the end, donors raised $589,316 over six weeks,...
Update December 22: Our donors came together during the fundraiser to get us most of the way to our $750,000 goal. In all, 251 donors contributed $589,248, making this our second-biggest fundraiser to date. Although we fell short of our...
MIRI is releasing a paper introducing a new model of deductively limited reasoning: “Logical induction,” authored by Scott Garrabrant, Tsvi Benson-Tilsen, Andrew Critch, myself, and Jessica Taylor. Readers may wish to start with the abridged version. Consider a setting where...
A major announcement today: the Open Philanthropy Project has granted MIRI $500,000 over the coming year to study the questions outlined in our agent foundations and machine learning research agendas, with a strong chance of renewal next year. This represents...
