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Long-running AI tasks can lose their way as context piles up, argues researcher David Breunig. He points to context poisoning, distraction and inertia as failure modes, and recommends periodically clearing conversation history while keeping useful environment artefacts.
Why it mattersThe practical distinction is handy: clear the chat clutter, not the work the agent still needs. Breunig also argues for balancing deterministic code with a model’s more probabilistic behaviour.
Discuss: What should an agent keep when its conversation gets a clean slate?
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