与工具对话的疲惫
The Exhaustion of Talking to a Tool

原始链接: https://ohadravid.github.io/posts/2026-06-tool-talking/

使用大语言模型(LLM)之所以让人格外疲惫,是因为它们在要求我们支付类似人类交流的“社交税”时,却无法提供真正的人际连接所带来的回馈。 当我们使用高效工具时,它们会成为我们身体的延伸,操作起来直观自然。相比之下,与大语言模型交互更像是一种社交仪式——我们需要不断地协商、提示和解释——这会消耗我们通常留给同事的宝贵精力。 然而,人类互动能通过灵感、挑战和共同成长来回报社交投入,而大语言模型提供的仅是可预测的输出。由于缺乏真正的互动互惠,这种持续的“社交脑力劳动”往往显得空洞。虽然大语言模型在特定任务上确实强大,但我们必须权衡:这种社交能量的损耗是否真的物有所值,亦或是将同样的精力投入到与现实中的同事协作会更有价值。归根结底,大语言模型要求我们将它们当作人类对待,但它们却很少提供能够抵消社交成本的实质性回报。

这篇 Hacker News 的讨论探讨了与大语言模型(LLM)共事所带来的“疲惫感”。 参与者对于与 AI 交互是否比与人协作更累存在分歧。一些人认为,大语言模型免去了人类协作中的“社交成本”——即无需处理自尊心、情绪或社交礼仪——这使其在纯粹的生产力方面更胜一筹。对这些用户而言,能直截了当地对待机器,让他们从人际交往的复杂动态中得到了解脱。 相反,另一些人则觉得目前的大语言模型令人心力交瘁。批评者指出,这种疲惫源于交互的“人工感”:用户必须不断地提示、纠正,并为这样一个缺乏真正记忆、理解力或共情的工具提供上下文。许多人提到,当前的工作流程需要付出巨大努力来克服模型的局限性,例如模型容易产生幻觉或表现出“索求无度”的倾向。 归根结底,共识在于:尽管大语言模型带来了显著的生产力提升,但我们正处于一个过渡阶段。随着用户找到定制和简化交互的方法,提示过程带来的“疲劳感”可能会减轻,尽管关于用 AI 取代人类交互是否最终对用户有净收益的争论仍在继续。
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原文

LLMs are exhausting because they require spending precious social energy to operate them. Energy that might be better spent on people.

When you use a good tool, your brain pretends that the tool is a part of your body: when you drive a car, when you type on a keyboard or when you hit that key chord to do that thing in Vim or VSCode. In contrast, when you talk to somebody, you are participating in a social ritual: share a fire, tell a story, help me close this ticket so we don’t have to drag it to the next quarter because my manager will chew me out. Obviously, the social brainwork is harder and requires much more of you.

When you use an LLM, you don’t get the tool magic: (almost) nobody will claim that Claude or Cursor feel like an extension of their body - they are not consistent or fast enough to trick the brain like a keyboard or a car can. Instead, you get to pay the social tax: you converse and negotiate and convince and sometimes even get angry at the so-called tool.

But the social tax is only worth paying because people give you so much more in return: they teach you something new, or challenge you, or inspire you, or tell you to GTFO if you are trying to BS them - or you might teach someone something, challenge them, or even inspire them! On days when I have these interactions I might be tired at the end of the day, but it was worth it.

With LLMs, you mostly just get more of the same: more code, more tests, more excuses. Sometimes you get more bug reports which I do appreciate.

Is it worth the social brainwork? IDK, for some tasks maybe - there are things a single person can do now that would have been impossible a year ago. But for all tasks? And wouldn’t that social brainwork do more good if it was directed at the real people you are working with?

LLMs ask us to talk to them, but rarely reward that effort in kind.

Discuss on lobste.rs.

Carpentry tools recovered from the wreck of the Mary Rose, a 16th-century sailing ship

Carpentry tools recovered from the wreck of the Mary Rose, a 16th-century sailing ship By the Mary Rose Trust, CC BY-SA 3.0

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