Home
News
Tech Grid
Data & Analytics
Data Processing Data Management Analytics Data Infrastructure Data Integration & ETL Data Governance & Quality Business Intelligence DataOps Data Lakes & Warehouses Data Quality Data Engineering Big Data
Enterprise Tech
Digital Transformation Enterprise Solutions Collaboration & Communication Low-Code/No-Code Automation IT Compliance & Governance Innovation Enterprise AI Data Management HR
Cybersecurity
Risk & Compliance Data Security Identity & Access Management Application Security Threat Detection & Incident Response Threat Intelligence AI Cloud Security Network Security Endpoint Security Edge AI
AI
Ethical AI Agentic AI Enterprise AI AI Assistants Innovation Generative AI Computer Vision Deep Learning Machine Learning Robotics & Automation LLMs Document Intelligence Business Intelligence Low-Code/No-Code Edge AI Automation NLP AI Cloud
Cloud
Cloud AI Cloud Migration Cloud Security Cloud Native Hybrid & Multicloud Cloud Architecture Edge Computing
IT & Networking
IT Automation Network Monitoring & Management IT Support & Service Management IT Infrastructure & Ops IT Compliance & Governance Hardware & Devices Virtualization End-User Computing Storage & Backup
Human Resource Technology Agentic AI Robotics & Automation Innovation Enterprise AI AI Assistants Enterprise Solutions Generative AI Regulatory & Compliance Network Security Collaboration & Communication Business Intelligence Leadership Artificial Intelligence Cloud
Finance
Insurance Investment Banking Financial Services Security Payments & Wallets Decentralized Finance Blockchain Cryptocurrency
HR
Talent Acquisition Workforce Management AI HCM HR Cloud Learning & Development Payroll & Benefits HR Analytics HR Automation Employee Experience Employee Wellness
Marketing
AI Customer Engagement Advertising Email Marketing CRM Customer Experience Data Management Sales Content Management Marketing Automation Digital Marketing Supply Chain Management Communications Business Intelligence Digital Experience SEO/SEM Digital Transformation Marketing Cloud Content Marketing E-commerce
Consumer Tech
Smart Home Technology Home Appliances Consumer Health AI
Interviews
Think Stack
Press Releases
Articles
Resources
  • Home
  • /
  • Tech Drops
  • /
  • Google DeepMind’s Genie 3: Text In, Interactive World Out

Google DeepMind’s Genie 3: Text In, Interactive World Out

  • August 6, 2025
  • Artificial Intelligence
Arko Chandra
Google DeepMind’s Genie 3: Text In, Interactive World Out

Google DeepMind has released Genie 3, its latest general-purpose world model that can create interactive 3D environments from just a text prompt. “Given a text prompt, Genie 3 can generate dynamic worlds that you can navigate in real time at 24 frames per second, retaining consistency for a few minutes at a resolution of 720p,” reads the DeepMind blog.

A Step Closer to AGI

Powered by decade-old proprietary research in simulated environments, DeepMind has built AI world models that can simulate different real-world scenarios. These models can be used as stepping stones to AGI (Artificial General Intelligence). Unlike Genie 1 and Genie 2, the latest version allows users to interact in real-time.

Applications of Genie 3: History, Animation & Natural World

  1. Physical World Phenomena: Users can experience real-world properties like water, lighting and other environmental scenarios.
  2. Natural World Simulation: From rich ecosystems to animal behviors and nuanced plant lives, the model can generate it all.
  3. Animation & Fiction: Lets users create highly imaginative environments with animated characters and expressive visuals.
  4. Transcending History & Geography: Users can explore locations and historical places.

Genie 3 Limitations

  1. Limited Direct Actions: Although many environmental changes can be prompted, the agent itself can only perform a narrow set of direct actions.
  2. Geographic Realism: Lacks the ability to recreate real-world locations with precise geographic fidelity.
  3. Text Rendering: Legible text is typically generated only when it’s explicitly included in the input world description.
  4. Multi-agent Interaction & Simulation: Accurately simulating interactions between multiple independent agents in shared spaces continues to be a challenging area of research.
  5. Short Interaction Span: The model currently supports only brief interactive sessions lasting a few minutes, rather than prolonged, hour-long engagements.

What’s Next

DeepMind considers Genie 3 “a significant moment for world models”, that will have a ripple effect on generative AI and AI research. The firm is currently exploring implications of the model while continuing to advance it for further applications in education, gaming, and training.