Data deep dive on the state of NEAR Validators

Edisyl argues that AI tools fail on expert work because they lack context, and that its Knowledge Pack, a domain knowledge layer plus proprietary knowledge, supplies it inside tools such as Claude, Codex, Gemini and Copilot. Domain knowledge covers regulations, standards, codes, partner data and market data, built and maintained by agent fleets steered by subject matter experts. Proprietary knowledge covers a company's own terms, policies and data, and a semantic layer reconciles that vocabulary with how staff speak. Edisyl also says context needs owners, versions and maintenance, and that the knowledge layer should outlive any particular model. The text does not mention NEAR Validators despite the submitted title.