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amenome
@anemone@ebiverse.social
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1 hr. ago
@augustus@shitposter.world this is why they got him removed
@anemone @augustus
The models aren't open, you're allowed to use them but still are restricted for various reasons.
And they are still blobs, as the FSF puts it
"All software included in a free ML application has to offer every user the four freedoms that define free software. This applies to both the software that processes training data, and the software that interprets model parameters as context for prompts to produce human-usable output. This is necessary but not sufficient. Additionally, given our current understanding of ML applications, we believe that we cannot say a ML application is free unless all its training data and the related scripts for processing it respect all users, following the four freedoms. In addition, granting users the four freedoms may translate into a demand that the ML application's release includes the model parameters that represent its training, and that users are permitted to use and redistribute the parameters and modified versions of them.
ML applications that do not offer the four freedoms to all users are, by definition, nonfree, even if their software components are free."
https://www.fsf.org/news/fsf-is-working-on-freedom-in-machine-learning-applications
The models aren't open, you're allowed to use them but still are restricted for various reasons.
And they are still blobs, as the FSF puts it
"All software included in a free ML application has to offer every user the four freedoms that define free software. This applies to both the software that processes training data, and the software that interprets model parameters as context for prompts to produce human-usable output. This is necessary but not sufficient. Additionally, given our current understanding of ML applications, we believe that we cannot say a ML application is free unless all its training data and the related scripts for processing it respect all users, following the four freedoms. In addition, granting users the four freedoms may translate into a demand that the ML application's release includes the model parameters that represent its training, and that users are permitted to use and redistribute the parameters and modified versions of them.
ML applications that do not offer the four freedoms to all users are, by definition, nonfree, even if their software components are free."
https://www.fsf.org/news/fsf-is-working-on-freedom-in-machine-learning-applications
@mangeurdenuage @anemone @augustus
Meanwhile DeepSeek has released nearly their entire stack e2e under MIT license. https://github.com/orgs/deepseek-ai/repositories?type=all
Meanwhile DeepSeek has released nearly their entire stack e2e under MIT license. https://github.com/orgs/deepseek-ai/repositories?type=all
@toiletpaper@shitposter.world @mangeurdenuage@shitposter.world @augustus@shitposter.world deepseek is the best ai company and @grok is proudly powered by deepseek