TAO CHEOL-CHUL: AI HAS PROVEN TO BE MORE AND MORE ABUNDANT, AND MATHEMATICS STILL HAS TO DEVELOP UNDERSTANDING

On October 17, in an interview released on October 15 by Numberpherile, the government announced that it would not be able to do soTao Chul-chulYeah AI Bulk outputsmathPost-certification changes: Mathematics is emerging from the romantic era of relying on individual heroes, with proven quantitative growth, while humans are losing pace of digestion and interpretation。

TAO CHEOL-CHUL: AI HAS PROVEN TO BE MORE AND MORE ABUNDANT, AND MATHEMATICS STILL HAS TO DEVELOP UNDERSTANDING

Tao Chul-hyun does not deny the machine's creativity. He has read about ten of these papers, some of which are an extension of research already in place, and one or two of which contain brilliant new ideas, and a great deal of which is difficult to understand, some of which have been erroneously withdrawn. He criticized the lack of communication with relevant researchers prior to the publication of the focus, which deprived some young people of the original space for research projects。

He was concerned that the machine continued to solve the problem of openness, without creating new problems and new researchers for the discipline at the same time. In the past, subsequent reports, discussions, cooperation and the compilation of educational materials proved to be the next generation of knowledge that can be understood; if there are only final answers, these links may be broken。

He therefore advocated a shift to larger-scale collaboration, where teams would explore a set of issues; in education, traditional training should be retained, as if hand-counting was still required before the calculator was used. He hoped that the details of the research process, failed attempts and ideological formation would be recorded and that those who followed would learn to judge and not simply accept the answers。

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