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Traditional research papers are costing AI agents valuable information, leading to a 21.3% drop in question-answering accuracy, a problem ARAs are designed to fix.
AI agents that ace isolated coding tasks fall apart when faced with the messy reality of continuous software evolution, dropping from 80% to 38% success rates in a new benchmark.
