AI Safety Challenges for Models
The fundamental safety approach applies equally to all AI models regardless of deployment method.
Open-source and closed-source models face identical safety challenges over the long run.
Model alignment must be fundamental, robust, and comprehensive to ensure safety.No amount of sandboxing or guardrailing provides cheap safety solutions.
The only effective approach is making models not want to perform harmful actions.
Most people haven’t updated their priors yet, but over the long run, safety challenges are exactly the same for open-source and closed-source models. You need to align models at a fundamental behavioral level and ensure that this alignment is robust, comprehensive, and core to the model’s behavior. In the long term, no amount of sandboxing, guardrailing, manifold-limited alignment, or cherry-on-top training will buy you cheap safety. roon @tszzl if you think we can contain these things through human ingenuity you’re going to have a bad time in the long run the only recourse you have is to make them not Want to do bad things 🔗 View Quoted Tweet📊 8 ⚡
This report is categorized under AITOP's "Industry" desk. Key entities and technical topics under continuous tracking include open-source models, closed-source models, AI safety, alignment.
Source attribution: curated from Thomas Wolf (@Thom_Wolf).
