Luis Villa
@luisvilla
I do a lot of opens, at Wikipedia, Mozilla, Creative Commons, and elsewhere.
lu.isLuis Villa
Note that AI scraping is cited as a driver here.
Data Futures Lab - Mozilla Foundation
foundation.mozilla.org
Fairly Trained launches certification for generative AI models that respect creators’ rights — Fairly Trained
fairlytrained.org
The lack of acknowledgment of the threat of prompt injection attacks in this new Purple Llama initiative from Meta AI Is baffling to me
CIP and Anthropic launch Collective Constitutional AI — The Collective Intelligence Project
cip.org
CIP’s report on their work with Anthropic
Weaving Pathways for Justice with GPT: LLM-driven automated drafting of interactive legal applications
Steenhuis, Quintenpapers.ssrn.com
Can provenance save us from a barrage of synthetic media?
cip.uw.edu
“participants successfully identified manipulated media as less trustworthy and less accurate when provenance was disclosed.”
The rise of statistical NLP in the early 2000s was another such cycle. But major methodological shifts come with major cultural shifts as well. Statistical NLP introduced a culture laser-focused on benchmarks and saw the end of a small, “high trust” research community.
Part of a long thread on the culture of ML, which I think is critical to understand whether/how Open ML might succeed/fail.
