# Draft v.0.0.9 of the Open Source AI Definition is available for comments

**URL:** <https://discuss.opensource.org/t/draft-v-0-0-9-of-the-open-source-ai-definition-is-available-for-comments/513>\
**Category:** Open Source AI\
**Tags:** draft\
**Created:** [August 22, 2024, 12:30pm UTC](https://discuss.opensource.org/t/draft-v-0-0-9-of-the-open-source-ai-definition-is-available-for-comments/513 "2024-08-22T12:30:06Z")\
**Posts on this page:** 1\
**Showing post:** 35

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**Author:** ![Shamar](https://avatars.discourse-cdn.com/v4/letter/s/94ad74/32.png) [@Shamar](https://discuss.opensource.org/u/Shamar)\
**Post date:** [September 30, 2024, 11:38pm UTC](https://discuss.opensource.org/t/draft-v-0-0-9-of-the-open-source-ai-definition-is-available-for-comments/513/35 "2024-09-30T23:38:56Z")

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Hi @mdolan and welcome!

Thanks for your perspective, but I’m not sure I understood the parallel you are proposing.  
The only difference among copyleft and permissive licenses is related to the licensing of derivative works.

In no way permissive licenses inhibit the freedom to study the covered software or restrict the freedom to modify such software to the equivalent of tweaking the configuration (fine tuning).

As for reproducible training, I’ve already explained [before](https://discuss.opensource.org/t/draft-v-0-0-9-of-the-open-source-ai-definition-is-available-for-comments/513/30) why it’s not really an issue, so much that [TensorFlow team asks developers to fill an issue when exceptions occur with determinism enabled](https://www.tensorflow.org/api_docs/python/tf/config/experimental/enable_op_determinism).

Also, as @lumin [pointed out](https://discuss.opensource.org/t/the-missing-third-leg-training-data-excluded-from-open-source-ai-definition-by-co-design/611/7), with an Open Source AI definition that does not mandate training data, you end up with **the paradox that Open Source AI could not be used in Science** at all (open or not).

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