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OpenAI Launches Creator Division Led by Sam Yam

Models & LLM·Tom Levy·

OpenAI Launches Creator Division Led by Sam Yam

OpenAI Launches Creator Division Led by Sam Yam
Key Takeaways
1OpenAI creates the "Creator Product" division to develop tools for creators
2Sam Yam, co-founder of Patreon, leads this new division, joined by two former Patreon executives
3A first look at the tools could be presented during OpenAI DevDay
Why it matters : The initiative comes as many artists view generative AI as a threat to their work.

OpenAI is establishing a "Creator Product" division and could unveil a first glimpse as early as its DevDay. At the helm is Sam Yam, co-founder of Patreon, who arrives with former product and engineering leaders from the platform. The stated goal: to build tools deemed "crucially valuable" for creative communities, while acknowledging the sensitivities surrounding generative AI.

A possible preview at DevDay and announced tools

A first preview of future tools aimed at creators could be presented during OpenAI's DevDay next week. Sam Yam describes these tools as "crucially valuable" for creators and their communities. OpenAI is already developing new devices for them, as its models advance in generating text, images, audio, and video. To accelerate this effort, Yam is joined by Drew Rowny and Shannon Ma, who have experience in product management and engineering at Patreon.

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Sam Yam takes the lead of "Creator Product" after 13 years at Patreon

After more than 13 years at Patreon, Sam Yam joins OpenAI to lead the new "Creator Product" division. "I can't wait to bring many more of their ideas to life," he writes, emphasizing that human creativity remains "paramount." He highlights the role of creators in "shaping culture" and "uniting diverse communities," while viewing AI as a tool that can enrich the creative process.

Creators wary of generative AI

The relationship between AI companies and creators has been tense for years. Many artists perceive generative AI as a direct threat, pointing to the training of models on copyrighted works and automated production that they see as devaluing their work.

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