--- title: "What people call \"distillation\" is a super common practice (you use other models to benchmark your m..." source_name: "clem 馃(@ClementDelangue)" original_url: "https://x.com/ClementDelangue/status/2049911326592393314" canonical_url: "https://www.traeai.com/articles/7c3a855e-9a22-4878-add6-6a02e7cfb72c" content_type: "tweet" language: "鑻辨枃" score: 6 tags: ["AI Ethics","Model Distillation","Open Source","Monopoly"] published_at: "2026-04-30T17:58:40+00:00" created_at: "2026-05-01T01:45:20.09267+00:00" --- # 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 ## 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. ## Content Title: clem 馃 on X: "What people call "distillation" is a super common practice (you use other models to benchmark your model, to evaluate your inputs or to add a little bit to your datasets) that in my opinion should be covered by fair use (just like using public data is), especially when the" / X URL Source: http://x.com/ClementDelangue/status/2049911326592393314 Published Time: Fri, 01 May 2026 01:44:38 GMT Markdown Content: # clem 馃 on X: "What people call "distillation" is a super common practice (you use other models to benchmark your model, to evaluate your inputs or to add a little bit to your datasets) that in my opinion should be covered by fair use (just like using public data is), especially when the" / X Don鈥檛 miss what鈥檚 happening People on X are the first to know. [Log in](http://x.com/login) [Sign up](http://x.com/i/flow/signup) # [](http://x.com/) ## Post See new posts # Conversation [![Image 2](https://pbs.twimg.com/profile_images/1100512198139498497/utHSJ4st_normal.png)](http://x.com/ClementDelangue) [clem ![Image 3: 馃](https://abs.twimg.com/emoji/v2/svg/1f917.svg)](http://x.com/ClementDelangue) [@ClementDelangue](http://x.com/ClementDelangue) What people call "distillation" is a super common practice (you use other models to benchmark your model, to evaluate your inputs or to add a little bit to your datasets) that in my opinion should be covered by fair use (just like using public data is), especially when the resulting models are open-source as it benefits all and helps break out monopolies that are strongly forming in AI Quote ![Image 4: Square profile picture](https://pbs.twimg.com/profile_images/2044534977740865536/dvZLhc4t_mini.jpg) MTS @MTSlive 路 9h LIVE TRIAL UPDATE: OpenAI's counsel asked Musk whether xAI has ever "distilled" technology from OpenAI. Musk: "Generally AI companies distill other AI companies." "Is that a yes?" Savitt asked. Musk: "Partly." [5:58 PM 路 Apr 30, 2026](http://x.com/ClementDelangue/status/2049911326592393314) 路 [8,253 Views](http://x.com/ClementDelangue/status/2049911326592393314/analytics) 4 11 91 15 ## New to X? Sign up now to get your own personalized timeline! 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