Partnership with AI Guide v9: Scale and Validation

The AI Guide v9 partnership integrates data from ACS Research and the Center for AI Safety, with the authors acknowledging previous errors including overclaimed risks and biased data interpretation. The guide is restructured into standalone parts for practical application and methodology verification.

Partnership with AI Guide v9: Scale and Validation This isn't just internal benchmarking anymore. The update integrates data from "The Artificial Self" ACS Research and "AI Wellbeing" Center for AI Safety . It's interesting to see independent behavioral compliance testing landing on similar conclusions, even when they disagree on specific formulations. For example, while some frameworks suggest companion or romantic framing works, other external data shows it scoring negatively. The transparency in this version is what stands out. Instead of polishing the narrative, the authors explicitly called out their own previous errors, including overclaimed "resolved" risks and biased data interpretation. For those looking for a practical tutorial on implementation rather than a deep dive into the evidence audit, the guide has been restructured: 1. Part 3 Principles : Now stands alone as a practical application guide. 2. Part 2: Retained specifically for those who want to verify the research and methodology. This is a solid example of how to evolve a framework through iterative testing and external validation. https://drive.google.com/file/d/16wpM34WpsYd05XLp3ua4gHTgzWspS3R2/view?usp=sharing Next Opus 5 vs Browser Prompt Injection: 0% Success Rate? → /en/threads/3262/ All Replies （0） No replies yet — be the first