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    How should the mathematics profession adapt to AI? A writer shares their view

    The author says their essay is hosted on Proofs and Prompts and invites comments—or complaints—on their personal website.

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    TLDR

    A writer has shared an essay about how they think the mathematics profession should adapt to highly capable AI systems. They point readers to Proofs and Prompts for the essay and welcome discussion on their own website.

    Combined views

    202.7K

    8 Sources, first seen 16d ago

    1.1K likes

    Combined views

    202.7K

    8 Sources, first seen 16d ago

    1.1K likes
    16d ago
    first seen 16d ago
    79 comments
    730 saves
    331 reposts

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    79 comments
    730 saves
    331 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    8 Sources

    @littmathI've written an essay on how I think the mathematics profession should adapt to highly capable AI systems. It's hosted here on "Proofs and Prompts": https://proofsandprompts.com/2026/09/14/a-beginning-for-mathematics/ though you should also feel free to complain/comment on my website here: https://www.daniellitt.com/blog/2026/9/13/a-beginning-for-mathematics/
    @AdamMarblestoneRT @littmath: I've written an essay on how I think the mathematics profession should adapt to highly capable AI systems. It's hosted here o…
    @lishali88Great read on how the mathematics profession should evolve. Say more optimistic version of the future using AI
    @boazbaraktcsRT @littmath: I've written an essay on how I think the mathematics profession should adapt to highly capable AI systems. It's hosted here o…
    @docmilanfarSummary: As AI systems become capable of autonomously generating proofs, producing math papers is no longer a reliable measure of human expertise. To adapt and thrive, the math community must shift its focus from churning out theorems to fostering and evaluating deep human understanding through live communication, seminars, and rigorous oral defenses.
    @wsisaacRT @docmilanfar: Summary: As AI systems become capable of autonomously generating proofs, producing math papers is no longer a reliable m…
    @ziv_ravidThis week in the Information Bottleneck we will host Daniel Litt (@littmath, University of Toronto), who was one of the the loudest skeptics of AI for math. In 2025 he bet that AI wouldn't write top-tier math papers by 2030. Now he says he expects to lose. He just published "A beginning for mathematics," arguing that once AI can produce a strong result for the price of a nice dinner, math has to stop rewarding papers and start rewarding real understanding. We'll ask him what that looks like for PhD students and why anyone would still want to become a mathematician. Drop questions below and we'll try to ask it.

    8 Sources

    @littmathI've written an essay on how I think the mathematics profession should adapt to highly capable AI systems. It's hosted here on "Proofs and Prompts": https://proofsandprompts.com/2026/09/14/a-beginning-for-mathematics/ though you should also feel free to complain/comment on my website here: https://www.daniellitt.com/blog/2026/9/13/a-beginning-for-mathematics/
    @AdamMarblestoneRT @littmath: I've written an essay on how I think the mathematics profession should adapt to highly capable AI systems. It's hosted here o…
    @lishali88Great read on how the mathematics profession should evolve. Say more optimistic version of the future using AI
    @boazbaraktcsRT @littmath: I've written an essay on how I think the mathematics profession should adapt to highly capable AI systems. It's hosted here o…
    @docmilanfarSummary: As AI systems become capable of autonomously generating proofs, producing math papers is no longer a reliable measure of human expertise. To adapt and thrive, the math community must shift its focus from churning out theorems to fostering and evaluating deep human understanding through live communication, seminars, and rigorous oral defenses.
    @wsisaacRT @docmilanfar: Summary: As AI systems become capable of autonomously generating proofs, producing math papers is no longer a reliable m…
    @ziv_ravidThis week in the Information Bottleneck we will host Daniel Litt (@littmath, University of Toronto), who was one of the the loudest skeptics of AI for math. In 2025 he bet that AI wouldn't write top-tier math papers by 2030. Now he says he expects to lose. He just published "A beginning for mathematics," arguing that once AI can produce a strong result for the price of a nice dinner, math has to stop rewarding papers and start rewarding real understanding. We'll ask him what that looks like for PhD students and why anyone would still want to become a mathematician. Drop questions below and we'll try to ask it.