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Google DeepMind just dropped Genie 2
- AI Video
Google DeepMind just released Genie 2, a game world simulator that allows AI to create rich, interactive 3D worlds from a single image or text.
https://x.com/minchoi/status/1864439424794198291
https://deepmind.google/discover/blog/genie-2-a-large-scale-foundation-world-model/
2024/12/05
Available Now (Available)
Google DeepMind just dropped Genie 2
Category
- AI Video
Gen
Empty
Date
2024/12/05
Summary 🍀🧸
Google DeepMind just released Genie 2, a game world simulator that allows AI to create rich, interactive 3D worlds from a single image or text.
URL
https://x.com/minchoi/status/1864439424794198291
URL
https://deepmind.google/discover/blog/genie-2-a-large-scale-foundation-world-model/
Release
Available Now (Available)
Sample Videos
Genie 2: A large-scale foundation world model
Summary by GPT
Here’s a description of a new large-scale world model called Genie 2 developed by Google DeepMind. Here are the key takeaways:
Genie 2 Introduction and Overview
Genie 2 is a model that creates a 3D environment that can control various actions, allowing a human or AI agent to play via keyboard and mouse.
It creates new interactive virtual worlds based on specific prompt images, simulating AI or human behavior.
Key features of Genie 2
Generate a variety of environments: Genie 2 generates a variety of 3D environments, providing an infinite curriculum for training and evaluating general agents. This solves the bottleneck of agent training that can occur in limited environments.
Rapid Prototyping: Genie 2 can rapidly prototype interactive experiences, enabling AI researchers to quickly experiment in new environments.
Action Control: Perform actions via keyboard input, such as manipulating a robot or interacting with objects using the arrow keys.
Physical Interactions and Character Animation: Model object interactions (e.g. opening doors, popping balloons), character animation, gravity and lighting effects, reflections, water effects, and more.
Rapid Prototyping: Genie 2 can rapidly prototype interactive experiences, enabling AI researchers to quickly experiment in new environments.
Action Control: Perform actions via keyboard input, such as manipulating a robot or interacting with objects using the arrow keys.
Physical Interactions and Character Animation: Model object interactions (e.g. opening doors, popping balloons), character animation, gravity and lighting effects, reflections, water effects, and more.
Technological developments and applications
Autoregressive latent diffusion model: Genie 2 is an autoregressive latent diffusion model that learns from video data and simulates frame-by-frame actions and past frames.
SIMA Agent: Train an agent called SIMA to perform tasks in a 3D game world using natural language instructions in an environment generated by Genie 2. SIMA performs specified actions in an environment generated by Genie 2 and assists in evaluation.
SIMA Agent: Train an agent called SIMA to perform tasks in a 3D game world using natural language instructions in an environment generated by Genie 2. SIMA performs specified actions in an environment generated by Genie 2 and assists in evaluation.
Responsible technology development
Responsible Development: Genie 2 is committed to ethical use in generating diverse 3D environments based on large-scale world models, and is conducting research to enable AI agents to perform tasks in a useful way both online and in the real world.
Future development potential
Genie 2 is considered a major step forward toward AGI (generalized artificial intelligence) and is expected to play a key role in solving structural problems.
Summation
Genie 2 is a new world model that generates a variety of 3D environments based on a single prompt, allowing AI and humans to interact with each other.
It supports AI learning and evaluation through games, and includes various physical interaction and action control functions.
We also pursue innovation in AI research and creation processes through rapid environmental prototyping and large-scale learning.
Although this research is still in its early stages, it shows a wide range of potential applications and great potential for advancement in AI research.
