Shutterstock and Lightricks Partner to Revolutionize AI Video Model Training

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Shutterstock introduces a novel 'research license' model, partnering with Lightricks to provide access to high-quality video data for AI training, potentially reshaping the landscape of ethical AI development.

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Shutterstock Pioneers 'Research License' Model with Lightricks

Shutterstock, a leading stock media provider, has announced a groundbreaking partnership with Lightricks, an innovative visual AI software company. This collaboration introduces a novel 'research license' model, potentially transforming how AI companies access training data for their models

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The Partnership and Its Implications

Lightricks becomes the first global partner to utilize Shutterstock's new research license, gaining access to Shutterstock's extensive video content libraries. This data will be used to train LTXV, Lightricks' open-source generative video model

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. The partnership offers significant benefits to both companies:

  1. Lightricks gains access to high-quality HD and 4K video assets for AI model training.
  2. Shutterstock diversifies its business model, opening up new revenue streams in the AI era

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The 'Research License' Model

Shutterstock's research license model is designed to lower barriers for AI training data access:

  1. It allows companies to start with a smaller research license for testing and experimentation.
  2. Companies can then transition to more comprehensive commercial licenses as their projects mature

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This approach addresses a critical challenge in AI development: the high cost of accessing quality training data. It makes ethical AI development more accessible, especially for startups and smaller organizations

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Ethical Considerations and Creator Rights

The partnership emphasizes ethical AI development and fair compensation for content creators:

  1. Shutterstock implements a revenue-sharing model, where contributors receive 20% of the revenue from data licensing deals.
  2. Contributors can opt out of having their content used for AI training

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  3. The model aims to prevent unauthorized data scraping, a practice that has led to legal challenges for several major AI companies

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Technical Advancements and Challenges

Lightricks plans to use the licensed video data to enhance LTXV, addressing key technical challenges in AI video generation:

  1. Improving motion consistency in longer videos without sacrificing quality.
  2. Enhancing the overall quality and relevance of generative video tools

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Industry Impact and Future Implications

This partnership could set new standards for ethical AI development:

  1. It provides a legitimate alternative to unauthorized use of copyrighted material for model training.
  2. The model could influence industry practices as concerns about AI training data sources grow

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Conclusion

The Shutterstock-Lightricks partnership represents a significant shift in how AI companies can access training data. By prioritizing ethical practices, fair compensation, and accessibility, this model has the potential to reshape the AI development landscape, especially for startups and smaller organizations looking to innovate responsibly in the AI space

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