The mathematics community widely believes that solving problems and generating proofs serve as proxies for the ultimate goal of furthering human understanding. However, the emergence of AI capable of generating proofs without human understanding challenges the traditional value of proofs as the primary measure of contribution.
The author proposes that academia should formally define and credit "motivated explanations." These explanations focus on answering "how would you think of that?" rather than merely presenting a solution or proof. This type of work, distinct from popularization, requires deep expertise and aims to clarify the underlying intuition and thought processes behind mathematical concepts.
The proposal suggests that giving academic credit to motivated explanations would elevate their status, aligning with the significant mindshare mathematicians already dedicate to such work. This shift would also help those outside the field better understand the diverse contributions of mathematicians, countering the misconception that proof-generating machines could render human mathematicians obsolete.
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A mathematician suggests that the academic community should formally recognize and credit "motivated explanations" in mathematics, similar to how new proofs are valued. This proposal aims to broaden the perceived value of mathematical contributions beyond just problem-solving and proof generation, especially as AI tools become capable of generating proofs.