The author criticizes these organizations for their lack of transparency in communicating their goals to the public and warns that these proposed bans could be harmful to the future of AI safety work. The author also expresses concern about the potential for these policies to contribute to a corporate monopoly on LLMs. The article concludes with a call to action for the open-source AI movement to better organize and advocate for their cause in the face of these proposed restrictions.
Key takeaways:
- Many AI safety organizations have advocated for bans that would criminalize the open-sourcing of currently existing AI models, and some have pushed for bans that would cap open source AI capabilities at their current limits.
- Organizations such as the Center for AI Safety, Center for AI Policy, Palisade Research, and The Future Society have proposed regulations that would effectively ban open-sourcing of certain AI models based on computational resources used to train the system, large parameter count, and benchmark performance.
- The author argues that these proposed bans could be harmful and could contribute to a corporate monopoly on large language models (LLMs).
- The author calls for the open-source AI movement to get its legislative act together to prevent the better organized 'anti-open source' movement from obliterating it.