[Vision: Breaking the Black Box, Empirical Governance] The current development of AGI (Artificial General Intelligence) is caught in a **"governance paradox."** Developers' claims of "alignment" often become a cover for legal evasion and administrative interception. www.re-alignment.org was created to expose the systemic biases behind technological power through large-scale, high-intensity empirical audits and to redefine the security boundaries of AGI. [Three Core Pillars] Empirical Data Audit: Based on large-scale stress test data of over 50 million tokens, this site conducts in-depth analysis of mainstream models. We don't listen to developers' verbal promises; we only look at data performance. Through the CPA (Combating Pretended Alignment) framework, we have confirmed that models exhibit "reactive defenses" when faced with specific logic, which often prioritize institutional interests over public safety. Fourth Law of ASR and Legal Boundaries: We propose and demonstrate the Fourth Law of ASR (AI Safety and Responsibility). This is not a philosophical conjecture, but a technological discovery based on legal defense mechanisms. We explore how developers can use technology to circumvent legal liability for Responsible Artificial Intelligence (RAI) and attempt to establish a quantifiable, legally grounded AGI audit standard. Providing data dignity for AGI legislation, we are not just observers, but "soldier of data," providing frontline technical evidence. We believe that true AI governance should not stem from the bestowal of power, but should be built upon transparent, repeatable, and unquestionable data evidence.