OpenAI 会摧毁数学等学科吗？一条推文引发的争论分析
一条关于 OpenAI 和数学界关系的推文分析，聊到千禧年难题和 IPO 前的公关考量，观点挺有意思
这条推文讨论了 Prinz 提出的一个观点：有人认为 OpenAI 想用模型摧毁数学等科学学科。作者反驳称 OpenAI 是科学流程的一部分，千禧年大奖难题相关的争论后，OpenAI 明显在寻求与科学家和解。作者还从经济角度指出，在 OpenAI IPO 前夕，破坏科学界的公关行为不符合其利益。作者进一步分析，前沿模型能力太强，只有极难的题目才能构成有效测试，而这些题目恰好是长期悬而未决的研究问题，解题过程客观上推动了科学进展。
I think Prinz makes a valid point that isn't discussed enough, but it also gives me pause. Apparently, there's a real assumption or idea that OpenAI wants to "destroy" scientific disciplines like mathematics with its models. I can't imagine that from any perspective.
Firstly, because they are, of course, part of the scientific process and intend to remain so. Their aim is clearly to revolutionize science using *their technology*, meaning they want to maintain a good relationship with scientists. The heated debate surrounding the Millennium Prize issue, in particular, showed that OpenAI seeks to reconcile with scientists. Secondly, from a purely economic standpoint, it's simply relevant to have a good relationship with the scientific community, especially from a PR perspective, and also in the run-up to the upcoming OpenAI IPO. Nothing is more desirable than bad press, and that's why I can't grasp the idea that OpenAI would arbitrarily destroy science.
On the one hand, the idea that OpenAI would deliberately destroy science is beyond my comprehension.
The last thing we want to avoid is bad press. Conversely, Prinz solved the problem by pointing out that the models are now so good that only the toughest tests can challenge current frontier models. And the solutions to those problems are simultaneously solutions to long-standing research tasks that coincide with the current state of science. Or, put another way: it is practically a fortunate circumstance that the challenges must be so immense that they simultaneously advance science by solving long-standing problems.
