Open-weight models share trained results but not the full code or training data, unlike true open-source models. This limits how much users can understand, change, or improve the model. Confusing open-weight with open-source misleads developers, scientists, and the public about transparency and control.
ORIGINAL LINK: https://garymarcus.substack.com/p/open-source-is-not-the-same-as-open?utm_campaign=posts-open-in-app&triedRedirect=true
