One of the more useful additions is Document Scan, which uses AI to clean up scans by automatically removing distortions, fingers and creases. It can also bundle multiple images into a single PDF, making it easier to digitize receipts, notes or forms without extra editing.
这就意味着,大规模、高定制化的“人肉搜索”在经济上已经具备可行性。
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通过这一通分析,我意识到:问题不在于我的方案和 AI 的方案孰对孰错,而在于我试图完全控制 AI,把它变成我的意志的延伸。当我试图用自己脑海里的蓝图完全压倒 AI 的自主权,我就必须向 AI 完整地描述这个蓝图,结果就是描述它的成本比我自己动手实现还要高。毕竟,软件开发的本质其实就是把人心里的蓝图描绘给计算机,要求它按蓝图执行而已。在这种范式下,手工编程和 AI 编程的区别不过是一个用的是编程语言;一个用的是自然语言——而编程语言比自然语言更加简练高效是很正常的事情。
Historically, LLMs have been poor at generating Rust code due to its nicheness relative to Python and JavaScript. Over the years, one of my test cases for evaluating new LLMs was to ask it to write a relatively simple application such as Create a Rust app that can create "word cloud" data visualizations given a long input text. but even without expert Rust knowledge I could tell the outputs were too simple and half-implemented to ever be functional even with additional prompting.