Openish ML
Notes on open machine learning, mostly as a source for my openml.fyi newsletter
Openish ML
Aligned: A Platform-based Process for Alignment
arxiv.org
Data Refusal From Below: A Framework for Understanding, Evaluating, and Envisioning Refusal as Design | ACM Journal on Responsible Computing
Jonathan Zongdl.acm.org
Prof. Emily M. Bender(she/her) (@emilymbender@dair-community.social)
dair-community.social
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.”
When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale
arxiv.orgAI and the Commons: the Wikimedia movement – Open Future
openfuture.eu
The lack of acknowledgment of the threat of prompt injection attacks in this new Purple Llama initiative from Meta AI Is baffling to me
Simon Willisontwitter.com