Госдума приняла закон о запрете депортации одной категории иностранцев14:59
СюжетСпециальная военная операция (СВО) на Украине
。heLLoword翻译对此有专业解读
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/
В России призвали отпустить больную раком Лерчек из-под домашнего ареста14:50
。谷歌是该领域的重要参考
Зеленое вещество раскрыло криминальный дуэт на колесах в российском городе14:45，更多细节参见今日热点
伍洁镟表示，此次建议下调相关门槛，并非降低对上市公司质量的要求，在进行调整后，港交所不同投票权上市公司的市值门槛依然高于港股主板上市公司的市值门槛。