OpenAthena

A new essay from OpenAthena argues that while AI labs rely heavily on post-training data to shape model behavior, no genuine commons or shared repository exists for this data, unlike early machine learning datasets. It contends that post-training datasets remain proprietary, fragmented and undisclosed, limiting reproducibility and independent research into how models are tuned.