Hacker News: Ask HN: Is there any license that is designed to exclude LLMs?

Source URL: https://news.ycombinator.com/item?id=42170746
Source: Hacker News
Title: Ask HN: Is there any license that is designed to exclude LLMs?

Feedly Summary: Comments

AI Summary and Description: Yes

Summary: The text expresses concerns about content harvesting by LLMs (Large Language Models) and discusses potential licensing solutions, highlighting the struggle to protect digital content. The insights are particularly relevant for content creators and legal professionals navigating compliance and licensing in AI.

Detailed Description: The text is centered around the issue of protecting content from being utilized without attribution by LLMs and raises critical points regarding licensing frameworks. It touches on emerging challenges in information security and compliance in the context of AI.

Key Points:

– **Content Harvesting by LLMs**: The author expresses a strong desire to prevent their content from being harvested by LLMs, which can use such content without proper attribution.
– **Concerns About Attribution**: There is a significant worry regarding how LLMs might utilize generated content while removing any trace of the original authors, thus creating issues of ownership and credit.
– **Licensing Questions**: The text inquires about the availability of licenses (specifically open-source licenses like MIT) that could adequately protect content from being harvested by these models.
– **Implementation Challenges**: The author notes that while licenses may exist to protect content, the real challenge lies in the effective implementation and enforcement of these licenses.
– **Technical Measures**: The mention of ‘robots.txt’ and the use of login-only access with two-factor authentication (2FA) by major sites to restrict access to content indicates a practical approach being taken to manage content exposure to LLMs.

In summary, the discussion raises important considerations regarding the need for robust legal frameworks and technical measures to safeguard content in an age increasingly dominated by AI technologies and their applications. For professionals in security, privacy, and compliance, this highlights the importance of developing and advocating for effective licensing solutions and considering the implications of content management in AI environments.