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In a move to clarify its stance, Apple recently asserted that its open-source AI model “OpenELM,” launched in April, does not rely on any of Apple’s proprietary AI or machine learning features, including “Apple Intelligence.” This statement was made in response to recent investigations suggesting that major tech companies, including Apple, have used YouTube video transcripts to train their AI models.
According to 9To5Mac, Apple highlighted that the “OpenELM” model was developed to contribute to the research community and to advance the development of open-source large language models. The company added that the model was designed solely for research purposes and is not employed to power any “Apple Intelligence” features. Furthermore, the model is widely available on Apple’s machine learning research website.
Research Paper Exonerates Apple
Last month, a research paper indicated that Apple does not use user data to train its AI models. The company clarified that these models are trained on licensed data, including selected data to enhance specific features, as well as publicly available data collected by its web crawler, AppleBot.
Wired Investigations
An investigation by Wired revealed that several major companies, including Apple, NVIDIA, Anthropic, and Salesforce, have used transcripts from over 170,000 YouTube videos to train their AI models. This dataset is part of a larger collection called “The Pile,” managed by the nonprofit organization EleutherAI.
Future of OpenELM
Regarding the future of the “OpenELM” model, Apple announced that it would not release any new versions of this model. This declaration comes as the company strives to maintain transparency in its policies and use of cutting-edge AI technologies.
Conclusion
Apple’s statements come at a critical time when the world is witnessing rapid adoption and development of AI technologies. The company’s clarifications underscore the importance of transparency in data usage and model training, which in turn fosters trust between users and major tech companies.
It is evident that the future outlook for AI technology remains a significant focus, and issues related to privacy and data usage will continue to be central to upcoming discussions.
