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Apple’s Partnership with Shutterstock for AI Development

Apple recently announced a strategic partnership with Shutterstock, a renowned stock photos and videos library, to leverage its vast data resources for training its artificial intelligence (AI) models. This collaboration signifies a significant step forward for Apple in advancing its proprietary foundation model, signaling the tech giant’s commitment to enhancing its AI capabilities.

Expanding Horizons with Shutterstock

According to sources familiar with the matter, the agreement between Apple and Shutterstock grants Apple access to a wide range of licensed data, including images, videos, and music, to support its AI training initiatives. This partnership aligns with similar arrangements established by industry peers such as Meta, Google, and Amazon. Jarrod Yahes, CFO of Shutterstock, disclosed that these deals typically involve initial investments ranging from $25 million to $50 million, with potential expansions in scale over time.

Aside from the collaboration with Shutterstock, Apple has also inked deals with Defined.ai, a Seattle-based AI data firm specializing in licensing data for AI model training. According to Daniela Braga, CEO of Defined.ai, the prevailing rates for data licensing range from $1 to $2 per image, $2 to $4 per short-form video, and $100 to $300 per hour of longer films, with text data priced at $0.001 per word.

These recent developments raise interesting prospects regarding Apple’s future AI endeavors. It is plausible that the incorporation of Gemini AI and Ernie Bot in the upcoming iPhone 16 series represents interim solutions while Apple refines its in-house AI models. Therefore, even if initial models feature outsourced AI capabilities, they are likely to be superseded once Apple introduces its native AI technology. Furthermore, the collaboration with Shutterstock suggests that Apple’s AI ambitions now encompass a broader spectrum of data types, including images, music, and videos.

While the specific objectives behind developing these AI models remain unclear, there is a strong indication that they are multimodal in nature, potentially involving elements of computer vision and multimedia generation. Apple Research has already published two distinct papers outlining the ongoing development of AI models within the organization, highlighting the company’s commitment to advancing AI technology.

How AI legalese decoder Can Help

In navigating the complex legal language and terms often associated with AI partnerships and data licensing agreements, AI legalese decoder can provide valuable assistance. By leveraging its natural language processing capabilities, the decoder can simplify and clarify the intricacies of these contracts, ensuring that all parties involved have a clear understanding of their rights, responsibilities, and obligations. Additionally, the decoder can help identify potential risks or ambiguities within the agreements, enabling proactive mitigation strategies to be implemented. Overall, AI legalese decoder offers a streamlined approach to interpreting and comprehending legal documents related to AI initiatives, facilitating smoother collaborations and fostering greater transparency in the process.

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