A Moonshot for AI Oracles in the Sciences

Bryan Kaiser, Tailin Wu, Maike Sonnewald, Colin Thackray, Skylar Callis
6/25/2024
cs.AIcs.CYmath.HO

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Abstract

Nobel laureate Philip Anderson and Elihu Abrahams once stated that, "even if machines did contribute to normal science, we see no mechanism by which they could create a Kuhnian revolution and thereby establish a new physical law." In this Perspective, we draw upon insights from the philosophies of science and artificial intelligence (AI) to propose necessary conditions of precisely such a mechanism for generating revolutionary mathematical theories. Recent advancements in AI suggest that satisfying the proposed necessary conditions by machines may be plausible; thus, our proposed necessary conditions also define a moonshot challenge. We also propose a heuristic definition of the intelligibility of mathematical theories to accelerate the development of machine theorists.

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Cite this paper

@article{kaiser2024moonshot,
  title  = {A Moonshot for AI Oracles in the Sciences},
  author = {Bryan Kaiser and Tailin Wu and Maike Sonnewald and Colin Thackray and Skylar Callis},
  year   = {2024},
  eprint = {2406.17836},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2406.17836v1}
}

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