Imagine an AI that not only writes articles but also meticulously fact-checks its own work, providing explanations and citations for every claim. Sounds like a dream, right? New research from Salesforce might just make this a reality. Researchers have developed a cutting-edge AI model called REC (Rate, Explain, and Cite) that evaluates the quality of text generated by other AI systems. Unlike traditional AI evaluation methods, REC goes beyond simple ratings. It delves deeper, providing detailed explanations for its judgments and citing the exact sources used to reach its conclusions. Think of it as an AI editor that flags inaccuracies, verifies information, and backs up its edits with verifiable citations. This has huge implications for the trustworthiness of AI-generated content. Imagine reading a news article written by AI, knowing that each fact has been rigorously checked and cited, significantly reducing the risk of misinformation or 'hallucinations.' The research also addresses the challenge of balancing the depth of fact-checking (granularity) with the speed of the process (latency). Different citation modes offer varying levels of detail, providing flexibility depending on the application. While the model primarily focuses on English text, future research aims to expand its capabilities to multiple languages. The potential for this technology is vast, from automated fact-checking tools for journalists and researchers to ensuring the accuracy of AI-generated reports in various fields like medicine and law. Though still in its early stages, REC offers a promising step towards a future where AI not only generates information but also ensures its accuracy and reliability. This could be a game-changer in the fight against misinformation and a crucial step towards building trust in AI-generated content.