The ongoing collaborative effort by the OSI aims to establish a clear definition of open source AI, focusing on the complexities of training data and openness guidelines.
Jim Zemlin emphasized that the Model Openness Framework (MOF) provides a structured method for evaluating AI models, categorizing them according to their level of openness.
Stefano Maffulli hopes to finalize the OSI’s open source AI definition during the All Things Open event, addressing challenges that have emerged from the initial drafts.
Critics within the open source community express concerns about how certain modifications to the draft could dilute the essence of what 'open source AI' truly means.
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