At this year’s Roblox Developers Conference (RDC), we announced several new tools that will bring generative AI into Roblox Studio and beyond to help anyone on Roblox scale faster, iterate more quickly, and augment their skills to create even better content. We see these AI breakthroughs as an enormous opportunity to simultaneously increase efficiency for more experienced creators and to enable even more people to bring great ideas to life on Roblox. These same models are beginning to also produce multimodal outputs, such as a model that can create a text output, as well as some visuals that complement the text. Further, advances in AI models that are multimodal, meaning they are trained with multiple types of content-such as images, code, text, 3D models, and audio-open the door for new advances in creation tools. As these tools evolve rapidly across the industry, I wanted to provide some updates on the progress we’ve made, the road that’s still ahead to democratize generative AI creation, and why we think generative AI is a critical element for where Roblox is going.Īdvances in generative AI and large language models (LLMs) present an incredible opportunity to unlock the future of immersive experiences by enabling easier, faster creation while maintaining safety and without requiring massive compute resources. Earlier this year, we shared our vision for generative artificial intelligence (AI) on Roblox and the intuitive new tools that will enable every user to become a creator.
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