Align AI and Mathematics–To Something Else
A Hacker News article discusses a letter from Fields medalists highlighting the severe misalignment between AI companies' rapid, solution-focused approach and the mathematical community's goal of conceptual understanding. The author agrees with this misalignment but further argues that the mathematics community itself often fails to nurture its students and foundational ideas. The piece cites the OpenAI announcement regarding the Navier-Stokes problem as a catalyst for the discussion.
Why it matters
This piece critically examines the ethical and philosophical implications of AI's impact on fundamental scientific research and raises questions about the values and practices within both the AI industry and academic mathematics, prompting reflection on how knowledge is pursued and disseminated.
Twenty five Fields medalists were initial signatories of the letter “ A Severe Misalignment of AI in Mathematics ” in which they opine that “The goals of the AI companies and the goals of the mathematical community are severely misaligned”. They are right.
As they say, the goals of AI companies do not seem to be aligned with “the primary goal of conceptual understanding and insight”, and indeed, the “solutions [by AI companies] are [being] announced in a rush, leaving no time for a proper writeup, the isolation of new methods and ideas, and citing relevant previous work of others.” This is true (but ironically, the signatories themselves say they released their letter quickly because they “did not have the time to have a more consultative process.”)
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