Rich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again

Argues deployed models freeze while learning should be continual, a capability gap that shapes how future agents might adapt after deployment.

• grounding — Tying a model's answers to checkable sources — retrieved documents, live data, tool results — instead of letting it answer from memory alone.

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