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  1. europesays.com/africa/478280/ Arab News | Moody’s upgrades Egypt’s rating to B3, maintains positive outlook #Debt #Egypt #GrossDomesticProduct #Moody’sAnalytics #S&PGlobalRatings

  2. Quote from Enrico Fatighenti:

    > What bothers me most is the double standard.
    >
    > Whenever I referee a paper, or receive a thesis or project from a student, I apply the same standards that most of us do. If a paper or thesis is so badly written that I cannot get past the first page without considerable effort, I reject it and ask for a new, readable version.
    >
    > With these AI-generated papers, I feel that we, as a community, are not applying the same standards of quality and rigour. They can simply release multiple 100+ page papers claiming to have solved this or that problem, often with redundant arguments, unclear logical structure, multiple dead ends, and strange or unsettling terminology — in other words, slop. And we are then expected to go through it, check it, clean it up, simplify it, and explain what is actually going on.
    >
    > This comes at a considerable cost to us in terms of time and effort, while they can simply move on and slop-bulldoze the next conjecture. And, of course, the credit remains theirs. In some sense, we are willingly contributing to our own demise.
    >
    > I think the paradigm has to shift. We should apply to AI-generated mathematical announcements the same standards of rigour, clarity, and exposition that we demand from human-generated papers. Do you want the approval of the mathematical community? A badge of legitimacy? Then give us something that is actually readable and verifiable. If not, we should simply ignore it.
    >
    > In other words, I do not think that we, as a community, should spend our time cleaning up their mess in order to increase someone else’s commercial revenues.

    proofsandprompts.com/2026/10/0

    #mathematics #math #maths #ai #llm

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