DexCap: a $3,600 open-source hardware stack that records human finger motions to train dexterous robot manipulation. It's like a very "lo-fi" version of Optimus, but affordable to academic researchers. This isn't teleoperation: data collection is decoupled from the robot execution, so that you don't need a one-to-one ratio of human operators babysitting the robots at all times. Great work from @chenwang_j & @StanfordAILab!

Anthropic is so back. Two things I like the most about Claude-3's release: 1. Domain expert benchmarks. I'm much less interested in the saturated MMLU & HumanEval. Claude specifically picks Finance, Medicine, and Philosophy as expert domains and report performance. I recommend all LLM model cards to follow this, so that the different downstream applications know what to expect. 2. Refusal rate analysis. LLMs' overly cautious answers to innocent questions are becoming a pandemic. Anthropic is typically on the ultra safe end of the spectrum, but they recognize the problem and highlight their efforts on it. Bravo! I love that Claude dials up heat in the arena that GPT and Gemini dominate. Though keep in mind that GPT-4V, the high water mark that everyone desperately tries to beat, finished training in 2022. It's the calm before the storm.

Now that Claude-3 is just announced, I’m waiting for a carefully timed GPT-5 release in a few hours 💣