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    🇭🇰Hong Kong·AI News·15 Oct 2026·via South China Morning Post

    How could a superintelligence take over the world? Let me count the ways

    OpenAI has reportedly achieved a significant mathematics breakthrough, releasing novel results on 377 high-profile open problems, which were solved as a by-product of AI training. This development has met with mixed reactions from the mathematics community, with University of Connecticut professor Alvaro Lozano-Robledo questioning the "hostile takeover" of the mathematical landscape.

    Nexa's Summary

    The article highlights a specific technical achievement by OpenAI, where AI reportedly solved hundreds of complex mathematical problems. This demonstrates a growing capacity for AI to tackle challenges previously requiring human expertise, raising questions about the future role of human mathematicians and the nature of discovery in the field. The problems were solved "casually" as a mere by-product of training, suggesting an inherent capability rather than targeted effort.

    The reaction from the mathematics community indicates a degree of unease. Professor Lozano-Robledo's comment about a "hostile takeover" suggests concerns about the integration of AI into fundamental research. This perspective points to potential friction as AI advances into intellectual domains, moving beyond tool-like assistance to generating novel results independently.

    Beyond the immediate scientific achievement, the article broadens the discussion to the potential risks associated with advanced AI. It cites Jacob Coxon, a researcher who resigned from Anthropic, and other leading voices in AI, who suggest an "up to 50 per cent chance of humanity being ended by superintelligent AI." This frames the mathematical breakthrough within a wider debate about AI's societal implications and its long-term trajectory, moving beyond specific applications to existential considerations.

    The narrative connects a concrete AI development to abstract fears about superintelligence, presenting the mathematical achievement as evidence supporting a wider discussion about AI's power and its reception among human experts. This linkage suggests that even incidental advancements can contribute to broader anxieties about AI's ultimate impact.

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    Original reporting by South China Morning PostWe don't republish, read the full story â†’

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