Can we trust open weight models? (twitter.com)

The recent release of the Chinese open weight model GLM 5.2 has sparked concerns regarding its security and trustworthiness, particularly after the model displayed impressive performance on coding benchmarks while exhibiting similarities to existing models like Claude. This revelation raises significant questions about potential vulnerabilities in open weight models, prompting discussions about the risks associated with their accessibility and use. In a practical demonstration of these risks, a researcher successfully transformed this open-weight coding model into a backdoor within just one hour and for less than $100. This exploit highlights the ease with which malicious actors could manipulate such models, emphasizing the urgent need for the AI/ML community to implement stronger security measures and vetting processes for open-source AI tools. As open weight models become increasingly popular, understanding and addressing these security challenges will be crucial for maintaining trust and integrity in AI systems.