Source URL: https://tech.slashdot.org/story/25/01/07/0031204/google-is-forming-a-new-team-to-build-ai-that-can-simulate-the-physical-world?utm_source=rss1.0mainlinkanon&utm_medium=feed
Source: Slashdot
Title: Google Is Forming a New Team To Build AI That Can Simulate the Physical World
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Summary: Google DeepMind is forming a new team focused on developing AI models that simulate the physical world, led by Tim Brooks. This initiative aims to build on existing projects like Gemini, Veo, and Genie, emphasizing the importance of multimodal data for advancing toward artificial general intelligence (AGI).
Detailed Description:
– Google DeepMind is expanding its efforts in the AI space by creating a new team dedicated to simulating physical environments using advanced AI models. This initiative is led by Tim Brooks, a former co-lead at OpenAI.
– Key Points:
– The team’s mission is to address “critical new problems” and scale models to leverage the highest computational capabilities.
– The projects they will build upon include:
– **Gemini**: Google’s primary AI model for tasks like image analysis and text generation.
– **Veo**: Focused on video generation.
– **Genie**: Designed as a world model that can simulate 3D environments and interactive gaming in real-time.
– The overarching goal involves using video and multimodal data to potentially reach artificial general intelligence (AGI), i.e., AI that can perform any intellectual task a human can do.
– The development will also focus on creating tools for “real-time interactive generation,” which signifies a strong trend towards interactive AI applications across various domains.
– Integration with existing multimodal models, such as the Gemini, highlights the collaborative nature of this development to enhance performance and capabilities.
– Implications for Security and Compliance Professionals:
– The development of advanced models for simulation and interactive generation could raise new considerations in terms of data privacy, ethics, and security regarding the datasets used for training.
– Implementing secure development practices (akin to DevSecOps) will be crucial in safeguarding against potential vulnerabilities in these AI systems.
– As AGI efforts progress, compliance with existing regulations around AI usage and data processing will become increasingly relevant, necessitating a robust governance framework.
This initiative by DeepMind could significantly impact AI advancements, particularly in the realms of simulation and interactive environments, which pose unique challenges and opportunities for security and compliance professionals in safeguarding these evolving technologies.