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Professionally, AI, science, AI4Science, Safety4AI. Also human ecology and indonesian death metal remixes.
See danmackinlay.name for more words about background and my now page for bonus stuff.
Professionally, AI, science, AI4Science, Safety4AI. Also human ecology and indonesian death metal remixes.
See danmackinlay.name for more words about background and my now page for bonus stuff.
[Cross-posted from the Alignment Journal's blog] The Alignment Journal is beginning to invite the authors of select papers to submit their work for review. If you are interested in participating as an action editor or a reviewer, make an account on our website; if you have a manuscript that you...
This is the Alignment journal development blog series We previously announced a forthcoming research journal for AI alignment and outlined our features and policies. In this next cross-post from our blog, we describe how we expect AI progress to shape the journal. Future posts will discuss our theory of change,...
We previously announced a forthcoming research journal for AI alignment. This cross-post from our blog describes our tentative plans for the features and policies of the journal, including experiments like reviewer compensation and reviewer abstracts. It is the first in a series of posts that will go on to discuss...
tl;dr We’re incubating an academic journal for AI alignment: rapid peer-review of foundational Alignment research that the current publication ecosystem underserves. Key bets: paid attributed review, reviewer-written synthesis abstracts, and targeted automation. Contact us if you’re interested in participating as an author, reviewer, or editor, or if you know someone...
I'm trying to sort the woo and the tautology from the content in the dangerously crackpotty world of “big pictures” on intelligence. Assistance appreciated.
How do autonomous learning agents figure each other out? The question of how they learn to cooperate—or manipulate one another—is a classic problem at the intersection of game theory and AI. The concept of “opponent shaping”—where an agent models how its actions will influence an opponent’s learning—has always been a...
