A New Open Source Competitor in the Large Language AI Models Arena

This Chinese Startup Is Winning the Open Source AI Race” is an interesting article from Wired on Yi-34B, from Chinese AI Startup 01.AI, which is currently leading many leaderboards comparing the power of AI models. Moreover, together with Meta’s Llama 2 from which it borrows part of its architecture, Yi-34B is one of the few top LLM to be Open Source. Yi-34B adopts a new approach to model training which seems better than what used by many competitors and possibly part of the reason of its current success.

A lot has changed in the AI arena in the last couple of years, and one notable fact is that most of the leading models now are Closed Source. Possible advantages of being Open Source are that it is easier to make external contributions to the model’s development (mostly from university researchers), and that there should be a lower barrier to build an “app” ecosystem around it.

On Open Source Software and the Proposed EU Cyber Resilience Act

I have not been following this, but I hear and read quite alarming comments about it (see eg. here).

If I understand it right (and please correct me if I don’t), the proposed Act starts from the absolutely correct approach that if someone develops some software, she or he is responsible for it and must provide risk assessments, documentation, conformity assessments, vulnerability reporting within 24 hours to the European Union Agency for Cybersecurity (ENISA), etc. This should work well for any corporation and medium/big size companies but requirements should be well balanced for example for open source distributed projects, or code released for free by single developers. Also taking into consideration that, as usual, not compliance with the Act will lead to fines.

Note added on December 10th, 2023: the final version of the CRA appears to address those concerns (see here for example).