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An AI agent becomes operationally useful only when it clearly separates what it keeps in context, what it retrieves as knowledge, what it follows as procedure and what it learns from previous work.
IBM’s new GNN video is not a research event, but it lands on the right basic question: how AI learns when relationships matter more than individual rows of data.
The most dangerous AI tool in the office is often not the strongest model, but the one nobody approved, monitored, or connected to data rules.