Tell HN: We need to push the notion that only open-source LLMs can be “safe”

The article's core argument centers on the idea that open-source Large Language Models (LLMs) are inherently safer than closed-source alternatives. This perspective likely stems from the transparency and auditability offered by open-source models, allowing for community scrutiny and identification of potential vulnerabilities or biases. The call to 'push the notion' suggests an advocacy stance, aiming to influence public perception and potentially policy decisions regarding AI safety and development. The context of Hacker News (HN) indicates the target audience is likely technically inclined and interested in software development and technology.

• •Advocates for open-source LLMs as the safer alternative.
• •Emphasizes transparency and auditability as key safety features.
• •Aims to influence public perception and potentially policy.