🔬 Navigating AI Hype for Facts: A Verification Stack

Comprehensive framework for establishing epistemic trust and navigating the pervasive misinformation, or "hype," surrounding artificial intelligence (AI) technologies. It identifies that the majority of AI-related information is compromised by financial incentives and argues for a discipline of verification anchored in structurally independent institutions. The text categorizes reliable information into four key pillars: Academic Rigor (e.g., Tier 1 conference proceedings like NeurIPS and peer-reviewed journals like JMLR), Independent Research Institutes (non-profits such as Ai2 and DAIR that refuse corporate capture), Standardization and Governance Bodies (providing consensus-based definitions via NIST and the EU AI Act), and the emerging sector of Algorithmic Auditing (firms like ORCAA that conduct adversarial testing). Ultimately, the goal is to provide a "Verification Stack" to distinguish substantiated facts from marketing noise by always verifying the source's funding and methodology.