In a collaborative op-ed written for a broad, non-technical readership, Interconnects author Nathan Lambert and Kevin Xu of Interconnected argue that banning open-source AI would be a policy error. The piece enters an active regulatory debate over whether unrestricted release of AI model weights poses unacceptable risks. By targeting a general audience, the authors seek to shape public opinion before legislative momentum solidifies.
This r/LocalLLaMA post argues that open-source LLMs are an ethical duty because AI has broad social impact. The author worries that without open models, US AI companies could have monopolized access and potentially limited availability to US firms. They also frame China’s release of powerful open-source LLMs as a contribution to humanity, despite political disagreements.
Hugging Face has officially announced the results of its inaugural "Open Source AI Game Jam." This multi-day hackathon event was designed to encourage…
In July 2022, Hugging Face and the BigScience collaborative community officially released BLOOM (BigScience Large Open-science Open-access Multilingual…