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PreprintarXiv licencearXiv

Will AI kill us all---or just make mathematicians obsolete?

  • Sergiu Klainerman
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Abstract

AI's recent advances have fueled predictions of human intellectual obsolescence and fears for the future of mathematics. I argue that, impressive as these achievements are, they do not establish AI's capacity to invent new concepts and theories or sustain autonomous recursive self-improvement. Human intelligence also involves judgment, imagination, and embodied experience that standard measures fail to capture. Mathematics extends beyond proving theorems: its creative core lies in conceptual discovery and understanding. AI can strengthen this enterprise, but realizing its promise requires protecting attribution, open exchange, confidentiality, and mathematical training. I propose an academic AI consortium to provide powerful research tools with enforceable guarantees safeguarding unpublished ideas.

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Cite

BibTeXRIS
BibTeX
@misc{klainerman2026will,
  title = {{Will AI kill us all---or just make mathematicians obsolete?}},
  author = {Sergiu Klainerman},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.29713},
  eprint = {2610.29713},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.29713},
}
RIS
TY  - UNPB
TI  - Will AI kill us all---or just make mathematicians obsolete?
AU  - Sergiu Klainerman
PY  - 2026
DA  - 2026/10/21
PB  - arXiv
DO  - 10.48550/arxiv.2610.29713
UR  - https://arxiv.org/abs/2610.29713
AB  - AI's recent advances have fueled predictions of human intellectual obsolescence and fears for the future of mathematics. I argue that, impressive as these achievements are, they do not establish AI's capacity to invent new concepts and theories or sustain autonomous recursive self-improvement. Human intelligence also involves judgment, imagination, and embodied experience that standard measures fail to capture. Mathematics extends beyond proving theorems: its creative core lies in conceptual discovery and understanding. AI can strengthen this enterprise, but realizing its promise requires protecting attribution, open exchange, confidentiality, and mathematical training. I propose an academic AI consortium to provide powerful research tools with enforceable guarantees safeguarding unpublished ideas.
ER  -