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“能源安全是‘国之大者’，必须端稳端牢能源饭碗。”国网江苏省电力有限公司泰兴市供电分公司六级职员张强代表表示，随着经济社会持续发展，用电需求不断增长，电网安全稳定运行的重要性愈发凸显。
。关于这个话题，WhatsApp Web 網頁版登入提供了深入分析
由于汽车业务亏损不断增加，日本汽车制造商本田汽车公司希望加强其日本国内产品阵容，因此将从美国和中国进口汽车在其国内市场销售。本田汽车公司在财年前九个月的汽车业务录得1664亿日元（11亿美元）的营业亏损后，正在重新评估其战略，以期提高竞争力。（财联社）
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Последние новости。whatsapp对此有专业解读
What happens when you ask a 2026 coding agent like Claude Code to build a chess engine from scratch (with no plan, no architecture document, no step-by-step guidance) in a language that was never designed for this purpose? Building a chess engine is a non-trivial software engineering challenge: it involves board representation, move generation with dozens of special rules (castling, en passant, promotion), recursive tree search with pruning, evaluation heuristics, as well as a way to assess engine correctness and performance, including Elo rating. Doing it from scratch, with minimal human guidance, is a serious test of what coding agents can do today. Doing it in LaTeX’s macro language, which has no arrays, no functions with return values, no convenient local variables or stack frames, and no built-in support for complex data structures or algorithms? More than that, as far as I can tell, it has never been done before (I could not find any existing TeX chess engine on CTAN, GitHub, or TeX.SE). Yet, the coding agent built a functional chess engine in pure TeX that runs on pdflatex and reaches around 1280 Elo (the level of a casual tournament player). This post dives deep into how this engine, called TeXCCChess, works, the TeX-specific challenges encountered during development. You can play against it in Overleaf (see demo https://youtu.be/ngHMozcyfeY) or your local TeX installation https://youtu.be/Tg4r_bu0ANY, while the source code is available on GitHub https://github.com/acherm/agentic-chessengine-latex-TeXCCChess/