On AI and Maths medium.com/@lfloridi/on-ai-a… ✍️ Luciano Floridi via @Medium 👉 The author reflects on AI models solving research-level mathematical problems, arguing that this milestone demonstrates "maker’s knowledge"—the capacity to generate a correct result without genuinely understanding the underlying process. 👉 He warns that mathematical information is growing exponentially faster than human comprehension, shifting the true scarce resource of science away from the execution of proofs and toward upstream human contributions like asking fertile questions. 👉 Floridi provides a vital philosophical anchor that prevents us from mistaking brilliant automation for actual mathematical insight. 💡 His argument exposes a subtle existential threat to science: the danger isn't that AI will fail to solve our hardest problems, but that it will output valid solutions at a scale and complexity that completely outpaces human capacity to understand why they work, reducing mathematicians from creative explorers to passive curators of alien code. @Corix_JC @TheAIObserverX @maponi @JagersbergKnut @ahier @ChuckDBrooks @Shi4Tech @CEO_AISOMA @sallyeaves @ThEiLe0 @dinisguarda @TarakRindani @FrRonconii @Ym78200 @Nicochan33 @Khulood_Almani @TysonLester @SusanHayes_ @EstelaMandela @JoannMoretti @sulefati7 @FernandaKellner @pchamard @NeiraOsci @darioandriani @ALouiseLavalett @Fabriziobustama @amalmerzouk @arlenenewbigg @drsharwood @mikeflache @RLDI_Lamy @smaksked @Eli_Krumova @AMontespan @PVynckier @chidambara09 @sminaev2015 @Analytics_699 @NathaliaLeHen @MHcommunicate @DanielleLargier