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The perils of vibe coding
氛围编程的风险

AI companies want to prove productivity gains — but there’s a risk we may create software with inbuilt problems
人工智能公司想证明生产力有所提升,但也存在风险:我们可能正在打造带有天生缺陷的软件。

A new OpenAI model arrived this month with a glossy livestream, group watch parties and a lingering sense of disappointment. The YouTube comment section was underwhelmed. “I think they are all starting to realize this isn’t going to change the world like they thought it would,” wrote one viewer. “I can see it on their faces.” But if the casual user was unimpressed, the AI model’s saving grace may be code.

本月,一款全新的OpenAI模型伴随华丽的直播和线下组团观影亮相,但随之而来的是挥之不去的失望。YouTube的评论区反应平平。“我觉得他们都开始意识到,这东西并不会像他们想的那样改变世界,”一位观众写道,“我能从他们的脸上看出来。”不过,即使普通用户无动于衷,这款AI模型的救命稻草或许在于代码能力。

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