Meta introduces BuilderBot, a new tool to fuel creativity in the metaverse using voice commands
The AI labs of Meta are already making advancements in research and development as part of a long-term effort to enable the next era of computing. Meta introduces a new tool fueling creativity in the metaverse: BuilderBot that enables people to generate or import things into a virtual world just by using voice commands.
In the video, Zuckerberg explained the process of building parts of a virtual world by describing them. He begins with the prompt, “let’s go to a park.” The bot then creates a 3D landscape of a park with green grass and trees. Zuckerberg then says “actually, let’s go to the beach,” after which the bot replaces the current landscape with a new one of sand and water. He then says he wants to add clouds and notes that everything is AI-generated. Zuckerberg then changes up the landscape by saying he’d rather have altocumulus clouds, which is meant to demonstrate how specific the voice commands can be.
As described by Meta and shown in the demo, Builder Bot appears to be using voice input to add 3D objects that users can walk around, and Meta is aiming for more ambitious interactions. “You’ll be able to create nuanced worlds to explore and share experiences with others with just your voice,” Zuckerberg promised during the event keynote. Meta made several other AI announcements during the event, including plans for a universal language translator, a new version of a conversational AI system, and an initiative to build new translation models for languages without large written data sets.
Meta made a few other announcements at its event, including its plans for AI-powered chatbots, an AI system card tool, and a Universal Speech Translator. The company says the latter could provide instantaneous speech-to-speech translation across all languages, including those that are mostly spoken, which would be a leap over existing translation systems. Meta noted that 20% of the world’s population does not speak languages covered by current translation tools and that it plans to overcome this by deploying new machine learning techniques.
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