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A joint Oxford-Anthropic study, costing $6.7M over 4 years, found that 90% of AI agents fail on complex tasks because they store facts but lose connections; using a graph-based approach improved task success by 42%, reduced unnecessary calls by 33%, and increased research accuracy by 39%.
An AI PhD at Oxford shares frustrations about US immigration barriers for Chinese talent, contrasting with attractive offers from China.