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If this is indeed the first full TeX chess engine, it is very unlikely the model memorized one verbatim. That makes TeXCCChess a useful counterpoint to the plausible critique that “coding agents just regurgitate training data”. Of course, the model may have seen discussions about chess programming in TeX, or small macro-expansion tricks, but a full working engine is a different artifact. (We will see in other posts that for engines in more mainstream languages, the pure memorization hypothesis is also questionable given the diversity of architectures and features, but here it is even more so).
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。关于这个话题，传奇私服新开网｜热血传奇SF发布站｜传奇私服网站提供了深入分析
In the end I ended up writing my own Taylor series based approximation. It is faster but also has a flaw, whenever the input x was less than -0.8 or greater than 0.8 it would deviate heavily. So to look correct, it had to fall back to std::asin() past these bounds.。华体会官网对此有专业解读
12:22, 13 марта 2026Экономика