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几十年来，研究人员在优化、机器学习、密码学和数据科学等领域发表了数千种算法。但其中大部分仍然深锁在 PDF 文件中——难以提取、测试或复用，而且不是代码形式。如果我们能够解放这些算法呢？利用 AI/代码代理，我们可以从论文中提取它们，将它们转化为干净、可运行的代码，并在一个动态存储库中组织起来。然后，系统就可以动态地选择并运行针对当前问题的正确算法，而不是重复造轮子。这样，数十年的研究成果就变成了活生生的、可用的资产。如果所有已发表的算法都能立即以代码形式获得，你会构建什么？或者你希望哪些算法以代码形式呈现？

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For decades, researchers have published thousands of algorithms in areas like optimization, ML, cryptography, and data science. Most of them are still locked away in PDFs—hard to extract, test, or reuse, not in code form.What if we could liberate these algorithms? Using AI/code agents, we can pull them out of papers, turn them into clean, runnable code, and organize them in a dynamic repository.Then, instead of reinventing the wheel, systems could dynamically pick and run the right algorithm for the problem at hand. that way, decades of research become living, usable assets . .If every algorithm ever published was instantly available as code, what would you build? or what algorithms you want as code ?

算法被囚禁在 PDF 文件里