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牛津与Google DeepMind合作的新论文调研了英美丹印四国8,234名劳动者，发现多数人工作不仅为了薪酬，约20%的人即使获得120%工资的保障收入仍会继续工作，表明仅靠基本收入无法抵消AI带来的失业冲击，AI转型计划还需保障工作的意义、社区与尊严。
A preregistered Oxford study found that AI systems reliably outperformed world-champion debaters and expert human persuaders across multiple experiments, with the AI's edge attributed to speed and volume rather than rhetorical skill. The results have significant implications for fundraising, communications, and governance of persuasive AI.
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.