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Roblox Studio Head Stef Corazza: Using AI to Empower Creators
Stef Corazza leads generative AI development at Roblox after previously building Adobe’s 3D and AR platforms. His technical expertise, combined with Roblox’s unique relationship with its users, has led to the infusion of AI into its creation tools. Roblox has assembled the world’s largest multimodal dataset. Stef previews the Roblox Assistant and the company’s new 3D foundation model, while emphasizing the importance of maintaining positive experiences and civility on the platform.
Mentioned in this episode:
Driving Empire: A Roblox car racing game Stef particularly enjoys
RDC: Roblox Developer Conference
Ego.live: Roblox app to create and share synthetic worlds populated with human-like generative agents and simulated communities|
PINNs: Physics Informed Neural Networks
ControlNet: A model for controlling image diffusion by conditioning on an additional input image that Stef says can be used as a 2.5D approach to 3D generation.
Neural rendering: A combination of deep learning with computer graphics principles developed by Nvidia in its RTX platform
Hosted by: Konstantine Buhler and Sonya Huang, Sequoia Capital
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By Sequoia Capital
4.2
3636 ratings
Stef Corazza leads generative AI development at Roblox after previously building Adobe’s 3D and AR platforms. His technical expertise, combined with Roblox’s unique relationship with its users, has led to the infusion of AI into its creation tools. Roblox has assembled the world’s largest multimodal dataset. Stef previews the Roblox Assistant and the company’s new 3D foundation model, while emphasizing the importance of maintaining positive experiences and civility on the platform.
Mentioned in this episode:
Driving Empire: A Roblox car racing game Stef particularly enjoys
RDC: Roblox Developer Conference
Ego.live: Roblox app to create and share synthetic worlds populated with human-like generative agents and simulated communities|
PINNs: Physics Informed Neural Networks
ControlNet: A model for controlling image diffusion by conditioning on an additional input image that Stef says can be used as a 2.5D approach to 3D generation.
Neural rendering: A combination of deep learning with computer graphics principles developed by Nvidia in its RTX platform
Hosted by: Konstantine Buhler and Sonya Huang, Sequoia Capital
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