算法被封闭在PDF文件中。
数十年来，研究人员在优化、机器学习、密码学和数据科学等领域发布了数以千计的算法。大多数算法仍然锁定在PDF文件中，难以提取、测试或重用，且并非以代码形式存在。
如果我们能够解放这些算法呢？通过使用人工智能/代码代理，我们可以将它们从论文中提取出来，转化为干净、可运行的代码，并将其组织在一个动态的代码库中。
这样，系统就可以动态选择并运行适合当前问题的算法，而不是重新发明轮子。数十年的研究成果将变成活的、可用的资产。
如果每一个已发布的算法都能瞬间以代码形式获得，你会构建什么？或者你希望哪些算法以代码形式存在？
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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.<p>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.<p>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 . .<p>If every algorithm ever published was instantly available as code, what would you build? or what algorithms you want as code ?