
Google is forming a new team focused on pushing the boundaries of artificial intelligence, potentially revolutionizing simulation technology.
Google DeepMind is bringing together a group of AI researchers to create “world models” capable of simulating physical environments. This initiative will be spearheaded by Tim Brooks, who previously co-led OpenAI’s Sora project and joined DeepMind in October to enhance Google’s video generation and world simulation efforts.
“DeepMind has ambitious plans to make massive generative models that simulate the world,” Brooks announced in an X post. “I’m hiring for a new team with this mission.”
Brooks shared job postings that indicate the new modeling team will work alongside Google’s Gemini, Veo, and Genie teams to address “critical new problems” and scale models “to the highest levels of compute.” Gemini is Google’s flagship series of AI models designed for tasks like image analysis and text generation, while Veo focuses on video generation.
Genie, on the other hand, is Google’s approach to world modeling—AI that can simulate games and 3D environments in real-time. The latest version of Genie, showcased in December, is capable of generating a wide array of playable 3D worlds.
“We believe scaling pretraining on video and multimodal data is on the critical path to artificial general intelligence,” DeepMind said in the job descriptions. “World models will power numerous domains, such as visual reasoning and simulation, planning for embodied agents, and real-time interactive entertainment.”
World models are an emerging area in AI that could fulfill various roles, including creating interactive media environments for video games and films, as well as realistic training scenarios for robots and other AI systems. This initiative is also part of Google’s aim to develop an artificial general intelligence system, or AGI, ahead of its rivals.
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