4 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
A UC Berkeley news report on a peer-reviewed study, co-authored by Brian Christian and presented at the 2026 Conference on Language Modeling, finding that just 10 minutes of relying on an AI tool significantly impaired participants' ability to focus and persist with difficult tasks after the tool was removed.
The software page of the Berkeley AI Research (BAIR) lab at UC Berkeley, listing the lab's open-source projects with links to source code. Projects include Caffe, the deep learning framework, and Ray, the distributed computing framework with libraries for hyperparameter search, reinforcement learning and model serving.
Berkeley faculty page for Anca Dragan, robotics and human-AI interaction researcher who also leads AI safety and alignment work at Google DeepMind.
From the site: Associate Professor, Division of Computer Science (EECS) — Anca Dragan is an Associate Professor in the EECS Department at UC Berkeley. Her goal is to enable robots to work with, around, and in support of people. She runs the InterACT Lab, where they focus on algorithms for human-robot interaction -- algorithms that m…
Why I recommend it: One of the few people working on alignment from the robotics side, where the system has to act in the real world. Her publication list is the useful part.
News and recorded-talk archive from Berkeley's Simons Institute for the Theory of Computing, covering theory, cryptography and the maths under machine learning.
Why I recommend it: The recorded talks are free and often better than the paper. Skim the archive by program rather than by date.
