The definition says it must include data information (“the complete description of all data used for training, including (if used) of unshareable data, disclosing the provenance of the data, its scope and characteristics, how the data was obtained and selected, the labeling procedures, and data processing and filtering methodologies”), as well as code and paramters. Read your link.

The guys at Hugging Face are working on a more open model based on Deepseek as they also claim it is not fully Open Source.

Thank you for stating that “@[email protected] is likely a paid actor” being baseless. It indeed is, although your hint is not too friendly.

I respectfully disagree. The analysis provides much more input that Deepseek’s press release claiming its USD 5m budget (and some other points -e.g. of being Open Source while it isn’t, and other points.)

From an article on an AI summit in Europe with such a title I would have expected that Eurooean LLM projects are at least mentioned.

As an addition:

Modern slavery in China

Since 2018, evidence of forced labour of Uyghur and other Turkic and Muslim majority peoples has emerged in the Xinjiang Uyghur Autonomous Region (Uyghur Region). […] Forced labour imposed by private actors is also reported, in addition to forced marriage and organ trafficking, with vulnerability primarily driven by discriminatory government practices. While China demonstrated some efforts to tackle modern slavery through sustained coordination at the national and regional levels – including by adopting a new national action plan for 2021 to 2030[…] – its overall response is critically undermined by the use of state-imposed forced labour.