Knowledge
Information plus the relationships between it. Not just what the numbers are, but what causes what, which rule applies when, what follows from what. That is what makes it usable for reasoning rather than lookup.
In AI it exists in two forms. Parametric knowledge, fixed in the model during training. And external knowledge, pulled at the moment of answering through retrieval and tool calls. The second is the one a client controls, and it is where a system’s trustworthiness is decided.
AI models, distrusted by design
…on shapes what it can say. A system can be built to answer only from a verified knowledge base the company owns. Each reply then points to a document a person can open. The reviewer checks the source and holds the model’s output up against it. Control covers…
Search is knowledge synthesis now.
…perfectly stable queries now point at answers that expire within the hour. Frozen knowledge can't serve them. So generative engines run a division of labor. RAG does the semantic mapping: it connects fluid, drifting language to a knowledge base and pulls current…
Can Controlled Access to Advanced AI Make Cybersecurity Safer?
…capabilities leak. An attacker gains access to the system, or an employee takes knowledge of its techniques to another organization. Alternatively, another laboratory independently develops a model with comparable capabilities. At that point, the defensive…