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Task order can dramatically skew the performance of self-improving agents, revealing hidden dependencies that could undermine their reliability in real-world applications.
Truthfulness in NLP research has surged to 37% of papers by 2026, reflecting a critical shift in focus towards safety and alignment in generative systems.
