Have you ever thought about generosity? Do you buy a colleague a cup of coffee or treat a friend to a meal? And do you expect that generous impulse will be returned? Prof. Rebecca Saxe & Alicia Chen have studied this.
@rebeccasaxe.bsky.social
news.mit.edu/2026/would-y...
Playing "Battleship" relies on thinking logically, considering unknowns, and eliminating impossibilities. What if machines play? MIT researchers used the classic game as a test bed for AI agents. @joshtenenbaum.bsky.social
news.mit.edu/2026/teachin...
We were thrilled to host Prof. Tom Mitchell of CMU last month — if you're interested in machine learning and the people who created this field, check out the recording of his talk.
www.youtube.com/watch?v=wiYz...
Human vision can pick out moving objects from a busy background. MIT researchers have created GenMatter, a hardware-accelerated inference algorithm that uses dots or textures to distinguish items.
arxiv.org/pdf/2604.22160
@joshtenenbaum.bsky.social
@gretatuckute.bsky.social is an MIT alumna who worked with @evfedorenko.bsky.social and the SQI Language and Thought Mission. She is recognized as a rising leader in the field of computational cognitive neuroscience.
sqi.mit.edu/news/greta-t...
Great article by @joshtenenbaum.bsky.social in the AI & Science issue of Daedalus www.amacad.org/publication/...
By deploying AI breakthroughs in LLMs as models of language use—rather than as end-to-end models of intelligence—and connecting them to models of the thinking and learning our minds do prior to and independent of language, [1/2]