OpenAI最新发布的数学研究成果让一些学者庆祝这一突破，也让另一些学者开始思考：那些仍在努力取得这些成果的研究人员将何去何从？纽约大学的数学教授特里斯坦·巴克马斯特（Tristan Buckmaster）周四在接受CNBC《Squawk Box》节目采访时表示，该公司的发布彻底颠覆了早期职业数学家的工作。“周二，他们一次性发布的内容直接摧毁了整个研究项目，”巴克马斯特说。
OpenAI’s latest math release has some academics celebrating breakthroughs and others wondering what happens to the researchers who were still working toward them. Tristan Buckmaster, a mathematics professor at New York University, told CNBC's "Squawk Box" on Thursday that the company’s release had upended work by early-career mathematicians. “So we've had whole research programs wiped out on Tuesday by their dump,” Buckmaster said.
周二，OpenAI在GitHub上发布了超过700份数学手稿，并在公告中称这些成果来自其内部的前沿模型。该公司还分享了许多证明的计算机可验证版本。对某些数学家而言，担忧并不仅限于被抢在成果之前。西北大学的数学教授布丽娜·克拉（Bryna Kra）告诉《商业内幕》，人工智能或许能推动研究进步，但她警告称，一次性发布如此多的研究成果，可能会破坏促成这些进步的合作文化。
OpenAI released over 700 mathematical manuscripts on GitHub on Tuesday, describing them in an announcement as the results of an internal frontier model. The company also shared computer-checkable versions of many proofs. For some mathematicians, the concern extends beyond being beaten to a solution. Bryna Kra, a mathematics professor at Northwestern University, told Business Insider that AI could advance research, but she warned that releasing so much work at once could undermine the collaborative culture that helped make those advances possible.
“数学是一个极其注重合作的领域，”克拉说。“这家公司里没有任何一个人能够就这些成果发表演讲或回答技术性问题。”克拉指出，研究人员通常会在演讲和交流中分享尚未完成的想法，她担心，由于害怕这些想法在公开前被人工智能吸收，数学家们可能会变得更加保守。巴克马斯特还提出担忧：提交给AI工具的未发表研究是否可能促成了OpenAI的数学成果。
“Mathematics is an extraordinarily collaborative field,” Kra said. “There is nobody at this company who could possibly give a talk or answer technical questions about any of these results." Researchers routinely share unfinished ideas in talks and conversations, Kra said, and she worries that the fear that those ideas could be absorbed by AI before they are made public could make mathematicians more secretive. Buckmaster also raised concerns about whether unpublished work submitted to AI tools could have contributed to OpenAI's math results.
OpenAI尚未回应置评请求。“你必须明白，他们能访问我们所有的研究提案，”巴克马斯特说。“当你提交一份研究提案时，评审委员会的成员会阅读它，并需要撰写摘要，而他们在撰写摘要时，通常会将其输入[大型语言模型]中。”巴克马斯特补充道。
OpenAI did not respond to a request for comment. "You have to understand, they have access to all our research proposals," Buckmaster said. "So if you submit a research proposal, a panelist will look at that research proposal, and they have to write a summary, and often, how they write the summaries, they put it into the [LLM]," Buckmaster said.
OpenAI 在声明中表示，其数学研究结果包含了修订和引用的相关规范，并计划改进论文的呈现方式，同时资助研讨会，以帮助研究人员理解人工智能生成的结果。新泽西州罗格斯大学的杰出数学教授亚历克斯·孔托罗维奇对此持乐观态度。孔托罗维奇告诉《商业内幕》，随着人工智能迫使学术界重新思考招聘和奖项的设定，数学训练可能会变得更具价值。
OpenAI said in its announcement that the math results included protocols for revisions and citations, and that it planned to improve the papers’ presentation and fund workshops to help researchers understand AI-generated results. Alex Kontorovich, a distinguished mathematics professor at Rutgers University, sees reasons for optimism. Kontorovich told Business Insider that mathematical training could become more valuable as AI forces academia to rethink hiring and prizes.
“我认为我们完全没有兴趣将奖项授予那些只是按下按钮的人，”孔托罗维奇说道。“数学首先教会人们清晰、深入地长时间思考重大问题，”他补充道，“而且我认为，未来对这类技能的需求会进一步增加，因为这些技能很难获得，需要大量训练。”
“I don't think we have any interest in giving prizes to someone who pressed the button,” Kontorovich said. "Mathematics first and foremost teaches people to think clearly and deeply and for extended periods of time on big problems,” Kontorovich added. “And I think in the future there will be even more demand for such skills, which are difficult to attain and take a lot of training.”