New chapters & research
Fresh textbook chapters, revisions, and research on the theory and methods of AI measurement, with links to the public materials.
One reliable feed for new readings, course updates, software releases, and ways to get involved in AI measurement science.
Everything we build in public, delivered in one place, so you never have to check five pages to know what changed.
Fresh textbook chapters, revisions, and research on the theory and methods of AI measurement, with links to the public materials.
Updates from CS321M and other community learning efforts, the clearest pathway into the AIMS community.
Releases across torch_measure, the Measurement Data Bank, Benchmark Caliper, and the evaluation ecosystem explorer.
Milestones from the competition and our workshop at COLM 2026, plus concrete ways to get involved and contribute.
Subscribers hear about every thread of the AIMS project as it develops, from foundational research to the open resources anyone can use.
What to expect
Short updates sent when there is something real to share: a launch, a chapter, a milestone. No filler.
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Over time the newsletter becomes an archive of public progress: what launched, what changed, and what questions come next.
A preview
The living textbook has been reorganized, and the full PDF is now available to download.
AIMS's first competition invites participants to predict how models respond to unseen benchmark items from sparse observations. Submissions run through the summer.
AIMS is organizing a one-day workshop on rigorous AI evaluation, co-located with COLM 2026 in San Francisco. The research and competition tracks are now open.
Join the AIMS newsletter and get course activity, new resources, workshops, and software milestones as they happen.