# 1. I never said LLMs were not useful. They are, particularly with all the bells and whistles that ar...

Canonical URL: https://www.traeai.com/articles/84fe117a-0874-417e-8e3a-d767c5f0398a
Original source: https://x.com/ylecun/status/2047636569767419951
Source name: Yann LeCun(@ylecun)
Content type: tweet
Language: 英文
Score: 7.5
Reading time: 2 分钟
Published: 2026-04-24T11:19:36+00:00
Tags: AI, LLM, 机器人

## Summary

Yann LeCun强调了大语言模型（LLMs）的实用性，但也指出它们缺乏对物理世界的理解，无法预见行动后果，这限制了其在构建机器人丰富未来中的作用。

## Key Takeaways

- LLMs是有用的，尤其是在添加了许多附加功能后。
- 未来的机器人需要能够理解物理世界并预见行动后果的AI。
- 仅依靠LLM不足以实现非反乌托邦式的未来社会。

## Outline

- 引言 — Yann LeCun回应关于LLMs实用性的讨论，并提出对未来AI能力的看法。
  - LLMs的实用性 — LeCun承认LLMs的价值，特别是在不断加入新特性的情况下。
  - 物理世界理解的重要性 — 强调了AI需要具备理解和预测物理世界的能力以支持机器人技术的发展。

## Highlights

- > I never said LLMs were not useful. They are, particularly with all the bells and whistles that are being added to them. — 第 1 段
- > A robot-rich future can't be built with AIs that don't understand the physical world and don't anticipate the consequences of their actions. — 第 2 段
- > The future in the cartoon looks pretty dystopian TBH, but even a non-dystopian version will require world models and zero-shot planning abilities. — 第 3 段

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