# Mitchellh - 我坚信，如今已有整家公司深陷人工智能狂热之中

- 来源：Hacker News 热门（buzzing.cc 中文翻译）
- 作者：reasonableklout
- 发布时间：2026-05-16 05:19
- AIHOT 分数：55
- AIHOT 链接：https://aihot.virxact.com/items/cmp7fmd7y09y2slnzcykd9ulm
- 原文链接：https://twitter.com/mitchellh/status/2055380239711457578

## AI 摘要

Mitchellh在Twitter上发表观点，指出现有整家公司深陷人工智能狂热，处于“AI精神病”状态。这一言论在Hacker News社区引发关注，获得134点积分，凸显了科技行业对AI过度追捧现象的担忧。Mitchellh认为，部分企业可能因盲目追随AI趋势而失去理性，该讨论反映了当前AI热潮中的非理性倾向和潜在风险。

## 正文

Mitchell Hashimoto on X: "I strongly believe there are entire companies right now under heavy AI psychosis and its impossible to have rational conversations about it with them. I can't name any specific people because they include personal friends I deeply respect, but I worry about how this plays out. I" / X

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Mitchell Hashimoto

@mitchellh

I strongly believe there are entire companies right now under heavy AI psychosis and its impossible to have rational conversations about it with them. I can't name any specific people because they include personal friends I deeply respect, but I worry about how this plays out. I lived through the great MTBF vs MTTR (mean-time-between-failure vs. mean-time-to-recovery) reckoning of infrastructure during the transition to cloud and cloud automation. All those arguments are rearing their ugly heads again but now its... the whole software development industry (maybe the whole world, really). It's frightening, because the psychosis folks operate under an almost absolute "MTTR is all you need" mentality: "its fine to ship bugs because the agents will fix them so quickly and at a scale humans can't do!" We learned in infrastructure that MTTR is great but you can't yeet resilient systems entirely. The main issue is I don't even know how to bring this up to people I know personally, because bringing this topic up leads to immediately dismissals like "no no, it has full test coverage" or "bug reports are going down" or something, which just don't paint the whole picture. We already learned this lesson once in infrastructure: you can automate yourself into a very resilient catastrophe machine. Systems can appear healthy by local metrics while globally becoming incomprehensible. Bug reports can go down while latent risk explodes. Test coverage can rise while semantic understanding falls. Changes happens so fast that nobody notices the underlying architecture decaying. I worry.

8:10 PM · May 15, 20261.6M Views

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