The latest buzz in AI circles is the concept of “open source” AI. Meta has pledged to create open-source artificial general intelligence, sparking a debate around what constitutes open-source AI. The lack of consensus on this issue could enable big tech companies to mold the concept to their advantage. The Open Source Initiative is working to define open-source AI, but the debate continues over what makes an AI model truly open source, especially concerning access to training data. The lack of a settled definition has led to various interpretations and ‘open-ish’ licenses, raising concerns about the potential fragmentation of standards in the AI community.
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The Challenge of Defining Open Source AI
Suddenly, “open source” is the latest buzzword in AI circles. Meta has pledged to create open-source artificial general intelligence, while Elon Musk is suing OpenAI over its lack of open-source AI models. However, the lack of a clear definition for “open-source AI” is a fundamental problem in the industry.
The Role of the Open Source Initiative (OSI)
The Open Source Initiative (OSI) has assembled a 70-strong group to come up with a working definition of open-source AI, aiming to provide clarity amidst the growing number of tech leaders and companies setting themselves up as open-source champions.
Fuzzy Criteria and Disagreements
There is considerable disagreement about whether existing AI models can be described as open source. The lack of clarity is particularly evident when it comes to the inclusion of training data, which is a major sticking point in the definition of open-source AI.
Value and Practical Considerations
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