Robotics 101 at UMich: Applied numerical linear algebra as intro linear algebra(robotics.umich.edu)

275 points by jamesliudotcc 1 year ago | 67 comments

Paul Hegarty's updated CS193p SwiftUI course released by Stanford(cs193p.stanford.edu)

167 points by yehiaabdelm 11 months ago | 35 comments

Artificial Intelligence Policy(law.berkeley.edu)

32 points by hackerBanana 2 months ago | 18 comments

10-202: Introduction to Modern AI (CMU)(modernaicourse.org)

235 points by vismit2000 7 months ago | 53 comments

OpenOrca: open source dataset and instruct-tuned LLMs(erichartford.com)

212 points by npsomaratna 3 years ago | 48 comments

David Beazley – Programming Courses(dabeaz.com)

113 points by gregsadetsky 3 months ago | 31 comments

AI outperforms law professors in Stanford Law study(law.stanford.edu)

379 points by berlianta 4 months ago | 327 comments

Stanford Law School press release on a blind study where law professors preferred AI-generated answers to student legal questions over answers written by fellow professors.

AI Agent Guidelines for CS336 at Stanford(github.com)

480 points by prakashqwerty 4 months ago | 148 comments

A CLAUDE.md file in Stanford CS336's assignment repository giving guidelines for AI coding assistants working with students on the course.

Stanford R&DE Uses AI to Race Swap Students for Advertising(stanfordreview.org)

57 points by docdeek 1 month ago | 42 comments

Stanford Review article reporting that Stanford's Residential & Dining Enterprises used AI to alter students' race in promotional images.

AI coding has made CI a bottleneck, so we reworked ours to keep up(linear.app)

300 points by julian_digital 1 month ago | 367 comments

A Linear engineering blog post explaining how AI-assisted coding increased CI load and how the team reworked its CI pipeline to keep up.

What AI-Native Looks Like(fagnerbrack.com)

14 points by fagnerbrack 1 month ago | 7 comments

A blog post by Fagner Brack on Medium describing what an AI-native approach to software development with stable infrastructure looks like.

Study identifies weaknesses in how AI systems are evaluated(oii.ox.ac.uk)

397 points by pseudolus 11 months ago | 186 comments

Oxford Internet Institute news item on a study finding that most of 445 LLM benchmarks lack rigorous methods and clear definitions of what they measure.