Codeberg e. V. members have voted to adopt two new policies concerning Large Language Models (LLMs). These decisions were made during the annual assembly, where proposals are discussed and then voted on asynchronously by active members.
The 14-day voting period concluded recently, with both proposals passing. The changes reflect Codeberg's stance on the emerging and controversial technology of LLMs.
One of the approved policies states that Codeberg will not use user or project data for training LLMs. This aligns with the platform's existing privacy policy, which emphasizes not needing user data. This commitment extends to generative AI, ensuring that code and data from projects and users will not be utilized for training such models.
The second policy prohibits projects primarily generated by LLMs, termed "vibe-coded projects," from being hosted on the Codeberg forge. This extension to the Terms of Use aims to address concerns regarding the unclear copyright status of such projects and their potential impact on the free/libre software ecosystem.
Codeberg believes that LLMs pose a risk to the free/libre software ecosystem. The decision to prohibit LLM-generated projects and prevent data use for training stems from these concerns, particularly regarding copyright and the broader implications for open-source development.
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Codeberg e. V. members voted to adopt two new policies regarding Large Language Models (LLMs). The platform will not use user or project data for LLM training and will prohibit "vibe-coded projects" on its forge, citing concerns about LLMs' impact on the free/libre software ecosystem.
Codeberg is proposing an extension to its Terms of Use that would prohibit projects primarily generated by large language models (LLMs). This change, currently under discussion and pending member vote, aims to address copyright concerns associated with such projects.