数学家波·沈·洛近日发表评论文章，阐述了AI时代保留人类数学家的必要性。1他提出「人类繁荣」作为核心公理，主张"我们应该帮助人类繁荣"，并论证为了维持人类主导的AI发展方向，需要由具有强价值观的人类专家团队来引导研究。1沈·洛认为，随着AI发展产生的控制点和专业工作需求将超出人类承载能力，这种压力反而会制约AI的发展速度。1
目前已有多项倡议获得广泛支持，其中莱顿宣言已获4000多署名，《数学与AI》宣言获7000多署名。1在这一讨论背景下，OpenAI领导人阿莫德、奥尔特曼和马斯克最近同意放慢AI发展步伐。1沈·洛的观点强调了人类专业社群在AI治理中的价值，同时指出直线代数等100多年前的抽象数学理论最终推动了GPU、机器学习等实际应用，说明基础理论研究与实际应用之间的深层联系。1
Mathematician Bo Shen Lo has published a commentary examining the continued relevance of human mathematicians as artificial intelligence advances rapidly.1 He contends that maintaining human-led AI development requires a core principle: "We should help human flourishing."1 According to Lo's argument, the expansion of AI will generate control points and specialized work demands that exceed human capacity to manage, which would paradoxically constrain the pace of AI development itself.1 To preserve human oversight of AI research trajectories, Lo advocates for teams of human experts with strong values to guide the direction of development.1
Lo's position reflects broader concerns within the mathematical and scientific community about AI governance.1 The Leiden Declaration has garnered over 4,000 signatures, while the Mathematics and AI declaration has accumulated more than 7,000 signatures.1 Recent statements by OpenAI leadership—including figures such as Amodei, Altman, and Musk—have indicated agreement on slowing the pace of AI advancement.1
The practical value of human mathematical research is evidenced by its long-standing contributions to technological breakthroughs.1 Abstract mathematical theories in linear algebra and related fields, developed over a century ago, ultimately enabled foundational technologies including GPUs and machine learning.1 This historical trajectory suggests that human mathematical insight continues to provide essential groundwork for practical applications, even as AI systems become more capable.1
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