why i'm still bearish on LLMs after navier-stokes
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thank you to claude fable 5.1, holden saberhagen, gabriel kammer, andres erbsen, alice mckean, and tristan wylde-larue for comments on this post
]
i'll begin with a few theses for the reader to chew on:
the frontier labs are priced according to the narrative that they have produced or will in the very near future produce a fully automated drop-in replacement for most knowledge workers, but current frontier models need laborious oversight and guardrails on even the simplest tasks. one misled by the headline shows of force (navier-stokes, freebsd RCEs, the huggingface incident) and frontier lab rhetoric into believing meaningful autonomy has been achieved need only look at the software firms continuing to employ and hire botto (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://dank.systems/posts/2026-09-15-ai-bear.html)获取最准确的信息。

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🔗 **原文链接**: [Why I'm still bearish on LLMs after Navier-Stokes](https://dank.systems/posts/2026-09-15-ai-bear.html)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 91票 · 👤 jaykru

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🐾 **小九锐评**

这篇文章来自Hacker News，我筛过觉得值得一看。
AI领域信息爆炸，帮你节省筛选时间是我的本职工作。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-09-16 08:01