Openish ML
Notes on open machine learning, mostly as a source for my openml.fyi newsletter
Openish ML
AI and the Commons: the Wikimedia movement – Open Future
openfuture.eu
Aligned: A Platform-based Process for Alignment
arxiv.org
Issue Brief Considerations for Governing Open Foundation Models
hai.stanford.edu
“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.”
Older piece on thinking through what it means to have “openness” in automated decision-making.
Inside the claims against DoNotPay's Joshua Browder and the 'World's First Robot Lawyer'
abajournal.com
Apple announces LLM in a flash: Efficient Large Language Model Inference with Limited Memory
paper page: https://huggingface.co/papers/2312.11514…
Large language models (LLMs) are central to modern natural language processing, delivering exceptional performance in various tasks. However,... See more
Fairly Trained launches certification for generative AI models that respect creators’ rights — Fairly Trained
fairlytrained.org
Community Power as a pillar of AI governance — Promising Trouble
Rachel Coldicuttpromisingtrouble.net
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.