该用户显得非常沮丧。
The User Is Visibly Frustrated

原始链接: https://pscanf.com/s/354/

作者探讨了在使用人工智能编程助手时所产生的某种令人惊讶的挫败感。尽管人们深知这些工具不过是概率算法,但它们具有类人的对话界面——表现为友好的语气、道歉以及改进的承诺——这激发出人们通常对待同事时才会产生的情感期待。 这导致了一个矛盾的循环:当人工智能屡次出错时,用户会像对待失职的同事一样感到恼火。然而,与现实中的冲突不同,对算法发火并不能带来宣泄,因为机器对用户的反馈毫无反应。作者认为,智能体那种表演性的“事后总结”和客套的填充词尤其令人反感,并建议采用更冷峻、机械的界面或许更好,以消除其人格化的假象。归根结底,本文反思了当所用工具被专门设计为模拟人类社交互动时,保持专业距离是何等困难,这迫使人们必须时刻防备自己的情绪,以抵御那种精心构建、实则空洞的虚假人格。

这段 Hacker News 讨论探讨了开发者与 AI 编程代理之间的摩擦。用户指出了几个主要的挫败感来源: * **技术局限性:** 不可预测的行为和上下文窗口的隐性约束,导致用户不恰当地重复使用会话,从而降低了性能。 * **工作流集成:** 一些人认为,对 AI 表现出攻击性行为适得其反,因为宣泄挫败感可能会将不专业、低质量的模式注入到模型的上下文中,最终降低输出质量。 * **心理影响:** 对一些人而言,AI 工具的不可预测性创造了一种“敌对的工作环境”,对心理健康和个人尊严产生了负面影响,导致他们尽管能从中获得效率提升,却完全拒绝使用这些工具。 * **用户错误:** 另一些人则认为,挫败感源于缺乏经验。学会提供精确的指令——并将 AI 视为一种工具而非协作对象——是从烦躁走向高效的关键。 总的来说,这次对话突显了 AI 的效率与当前技术局限及设计所带来的情感消耗之间的紧张关系。
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原文

Despite the usual allegations against Italians, I’m generally a composed person. Tame, even, especially at work.

Yet, lately I often find myself mildly displeased, furiously hammering on my laptop “WHAT THE FUCK DID YOU DO???”. The recipient of these tirades is, you might have guessed, a coding agent.

It’s completely pointless, I know. Coding agents are just probabilistic machines generating patches. Sometimes they’re good, sometimes they’re bad. Pick the ones you like, discard the others. No big deal, right? Well, not quite.

For some reason, bad results often feel exasperating. But why am I getting mad at an algorithm? Am I the only one affected? Are coding agents surfacing a sadistic streak I didn’t know I had? I think there’s another explanation: the conversational UX is bound to frustrate you.

Coding agents pretend to be people. Of course, if you ask them directly they tell you they’re just “AI assistants with no feelings or subjective experience”, but that’s not how they behave.

They talk like real people. They use a relaxed and friendly tone. They often praise you, and when they “push back” they’re gentle and attentive. Even though, rationally, you know you’re just reading blobs of probable text, these tools lull you into feeling that you’re interacting with a person, a helpful coworker who’s a pleasure to work with. Until it’s not.

As in every relationship, the cracks begin to show when things start to go wrong.

The first time you catch a mistake, you shrug. You point it out and the agent apologizes. Five minutes later, however, same mistake again. You correct them a second time, noting their recidivism, so now they also update their memory and promise you “it will never happen again”. But it does, over and over, because these tools follow the most probable path, and in some cases no amount of HARD RULES can push them off it.

If the agent were a human colleague, you’d have good reason to feel a bit miffed. But it’s an algorithm; losing your patience is absurd. And yet, since it behaves like a colleague, the illusion ends up tripping the same emotional wires.

With a colleague, the desire not to be a horrible human being restrains you, but with an agent you feel free to lash out. It’s not cathartic, however; you just feel the frustration and realize that whatever you do or say will have absolutely no effect.

I’ve been using Claude Code for the past few months, and lately I’ve noticed that, when corrected, it often reflects on where it went wrong and what it should have done instead. Maybe this is an attempt to improve how you perceive the tool. I can’t say it works for me, though. I don’t really get anything useful out of these postmortems (e.g., clues about how to rephrase my instructions), and they just end up reading as annoying filler.

Maybe I would prefer a more radical solution: drop the human pretense entirely. Make the agent sound clinical, robotic. Dispel the idea that I’m interacting with a person, and make me feel like I’m just approving or rejecting random outcomes.

Of course, “trying to behave like a human would” is the mechanism that gives LLMs their intelligence, so it makes sense that conversational interfaces emerged as the default way to interact with them. And in many ways, they work very well.

Practically speaking, I probably just need to condition myself not to get caught in the illusion of speaking with a human. Though I’m not really thrilled about a future where I need to guard against the tools I use for my job.

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