Spawning
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About
Spawning builds tools to help manage data rights in the age of generative AI. For rights holders, they offer tools to search for their work in AI datasets, block web scrapers, and add their media to the Do Not Train Registry, which is respected by companies like Stability AI and Hugging Face. For developers, Spawning provides the Data Diligence package and API to easily filter out data marked as 'do not train,' ensuring compliance with regulations like the EU's TDM Copyright Exceptions. The registry currently signals data-use preferences for over 1.5 billion individual works.
Platform
Task
Features
• spawning api
• data diligence (python package)
• spawning browser extension
• kudurru (website scraper blocker)
• do not train registry
FAQs
What does Spawning mean?
Spawning is a term we created to describe the act of creating entirely new media with an AI system trained on older media. We felt it was necessary to distinguish that this process is different from older techniques like sampling or collage.
What is Spawning's relationship with organizations that train AI models?
Spawning is an independent third party that created a Do Not Train registry intended to provide machine readable opt-outs to AI model trainers. We have partnered with two organizations (Stability and Hugging Face), who have agreed to honor the Do Not Train registry. We are actively working to partner with more organizations to ensure the widest adoption of respect for rights holders' wishes.
Doesn't opt-out protect AI companies over artists?
We believe that requiring the informed consent of the rights holders whose work is used to train AI is the ideal solution. For now, with most AI companies scraping the web without any consideration for rights holders, we see respecting opt-outs as a practical step forward. We do not want rights holders to be forced to opt out. We want rights holders to have the option to opt out.
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