Openish ML

Seven broadly-worded principles from CC.

“At Google Research and Brain and DeepMind, we've invented the majority of machine learning techniques we're all using today, over the last 10 years of pioneering work. So that’s always been in our DNA, and we have quite a lot of senior research scientists that maybe other orgs don't have.”

I appreciate the attention to detail here, and it’s generally a really careful, thoughtful post, but you then throw away pretty much all the good effort by settling on a term that the vast majority of people are not going to be able to tell apart from open source. “publicly available”, “free to use”… lots of other, non-confusing options right there.

CIP’s report on their work with Anthropic

One of the things I referred to in my recent Linux Foundation talk. I wonder what this approach - taken thoughtfully and seriously - would look like applied to the Waymo/Cruise problem in SF.

There’s a hard coming problem about what it means for dominant platforms to allow fair and reasonable competition. In AI, it’s going to center around access to data. Here, there’s an interesting passage on when/how Apple will allow competing app stores.