# What people call "distillation" is a super common practice (you use other models to benchmark your m...

Canonical URL: https://www.traeai.com/articles/7c3a855e-9a22-4878-add6-6a02e7cfb72c
Original source: https://x.com/ClementDelangue/status/2049911326592393314
Source name: clem 🤗(@ClementDelangue)
Content type: tweet
Language: 英文
Score: 6.0
Reading time: 2 分钟
Published: 2026-04-30T17:58:40+00:00
Tags: AI Ethics, Model Distillation, Open Source, Monopoly

## Summary

Clement Delangue discusses the common AI practice of 'distillation,' suggesting it should be considered fair use when models are open-source, fostering innovation and reducing monopolies.

## Key Takeaways

- Distillation, using other models for benchmarking and dataset augmentation, is a widespread AI practice.
- Clement argues for fair use coverage for distillation, akin to public data usage, especially for open-source models.
- The discussion hints at ongoing legal debates in AI around model development and intellectual property.

## Outline

- 引言 — Clement Delangue 对‘模型蒸馏’的普遍性及其对公平使用的看法。
  - 模型蒸馏实践 — 介绍模型蒸馏作为评估和数据增强手段的常见做法。
  - 公平使用观点 — 提出应将开放源代码模型的蒸馏视为公平使用，以促进竞争。
  - 引用案例 — 提及Musk在法庭上的回答，侧面反映行业内的蒸馏实践现状。

## Highlights

- > Distillation...should be covered by fair use...especially when the resulting models are open-source...
- > Generally AI companies distill other AI companies. — @MTSlive
- > It benefits all and helps break out monopolies that are strongly forming in AI.

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