The goal of mechanistic interpretability is to reverse engineer neural networks. Having direct, programmable access to the internal neurons of models unlocks new ways for developers and users to interact with AI — from more precise steering to guardrails to novel user interfaces.
White House adviseors discuss how the US will export AI.
White House Senior AI Policy Advisor Sriram Krishnan discusses how the US plans to maintain its leadership position in artificial intelligence with the new AI Action Plan.
Three Oregon high schoolers developed a new artificial intelligence learning tool that instead helps educate students rather than give them answers.
The U.S. Department of Education's guidelines say artificial intelligence should assist, and not replace, teachers in the classroom.
