电脑说不。
Computer Says No

原始链接: https://koenvangilst.nl/lab/computer-says-no

罗兰·范德沃斯特引用理查德·塞内特,强调“物质意识”的重要性——通过直接与材料(无论是物理的还是抽象的)互动获得的深刻理解。这种“实践”知识对工匠至关重要,但正受到日益增长的自动化技术的威胁。 具体而言,范德沃斯特警告说,依赖人工智能进行编码可能会使软件工程师与他们系统的基本原理脱节。编码不仅仅是关于输出;它*本身*就是一个学习过程,能够培养对业务背景、局限性和可能性的理解。 如果人工智能接管这个过程,软件将变成一个“黑匣子”,关键的专业知识将会丧失。虽然指导人工智能可能会创造一种*新的*技能,但它无法复制通过直接创造建立的深刻直觉知识。最终,过度依赖人工智能可能会导致一个没有人真正理解系统*为何*能按其功能运行的未来,从而导致无法解释的故障。

这个Hacker News讨论围绕令人沮丧的电脑错误以及与事物底层运作方式脱节的感觉。最初的帖子“电脑说不”引发了关于理解电脑*为什么*拒绝输入的问题的评论,一位用户建议人工智能可以帮助解释代码的推理。 然而,对话很快转向了更广泛的类比。一位评论者开玩笑说要换掉苹果电脑,而另一位则将之比作被提升到领导职位的开发者与编码失去联系。一位科学家插话说,在不完全理解其起源的情况下为合作论文做出贡献会感到不适,并将之与新兴的“氛围编码”——在缺乏深刻理解的情况下构建——进行比较。 最终,这个帖子涉及知识、理解以及在脱离实际应用时保持专业知识的挑战等主题。
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原文

In his column for the FD, Roland van der Vorst writes:

According to American sociologist Richard Sennett, craftspeople have a 'material consciousness' - a relationship with the material they use. They are in dialogue with it, which can be physical (wood, stone) or abstract (software, research, care). It is a form of knowing that arises through touching, trying, correcting, feeling resistance, and through 'hands that think.'

The machine can increase the distance to our material. A software builder who lets the computer do the coding loses their feel for the software code.

This is a great insight. For software engineers coding is the way to fully grasp the business context. By programming, they learn how the system fits together, where the limits are, and what is possible. From there they can discover new possibilities, but also assess whether new ideas are feasible.

If AI takes over the coding, that layer of knowledge disappears. Not just for the user, but for the software engineers themselves. The product becomes a black box. And yes, perhaps new craftsmanship emerges in directing the AI agent, but that doesn't build the same deep knowledge of what you're actually making.

"Computer says no" then becomes the endpoint more and more often, and there will be no human left who can explain why.

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