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Last updated: July 11, 2026, 8:30 PM ET

AI & ML Research

Frontier AI models continue to hallucinate, a problem that can lead to amusement or real-world damage. This issue persists even in the most advanced systems, and understanding its causes is important for mitigation.

Long context windows in Large Language Models (LLMs) are not without cost. Systems can become inefficient not from forgetting, but from accumulating too many unnecessary tokens, which increases expenses and slows response times. A prompt-pruning layer can address this by removing redundant tokens.