"Financial sector advances spearheaded by AI development at OpenAI and Google"
In the ever-evolving world of artificial intelligence, Google DeepMind is making significant strides with its latest development - the Genie 3 AI model. This innovative system is designed to generate and interact with real-time adaptive environments, a groundbreaking leap in AI technology.
Genie 3 creates interactive 3D worlds that respond to user actions in real time, maintaining physical consistency such as gravity and object interactions. The system learns from past outputs to adjust future states without the need for a traditional physics engine [1][2][3]. This ability enables AI agents to simulate and adapt in complex, continuous environments closely resembling real-world conditions.
The practical implications of such technology are vast. AI agents equipped with real-time environmental reaction capabilities can better prepare for and respond to dynamic conditions, making them invaluable tools for training robots and embodied AI systems. The system can generate playable 3D scenes in just a few seconds with a resolution of 720p at 24 frames per second, providing a persistent and immersive experience [2][3].
Beyond simulation, DeepMind's progress with models like Genie 3 and agents such as SIMA, capable of understanding and performing tasks via natural language in varied virtual settings, brings us closer to flexible, real-time interaction in both virtual and robotic contexts [4]. The Gemini Robotics models introduced in 2025 by DeepMind focus on improving robots' ability to interact adaptively with the physical world, highlighting the direct application of such adaptive AI in real-world robotics tasks [4].
The power behind these advancements lies in the computational resources like GPUs, which accelerate neural network training and inference required for Visual-Language-Action (VLA) models. These technologies are essential for building robots that can perform complex, context-sensitive operations and learn from their experience continuously [5].
In conclusion, Google DeepMind's Genie 3 AI model represents a significant step forward in practical AI applications. By providing real-time environmental reaction capabilities, this technology allows AI agents and robots to adapt flexibly to dynamic conditions. This breakthrough improves the realism and utility of AI-driven simulations and directly enhances embodied AI and robotics, moving towards more generalised and robust artificial intelligence in interactive and physical domains [1][2][3][4][5].
Written by Maik Klotz, a consultant, speaker, and author on topics related to banking, payment, digital identity, e-commerce, and retail, with a focus on "mobile". Klotz is also the co-founder of Payment & Banking and is responsible for marketing, strategy, and events, especially for Transactions.io. His insights on the world of artificial intelligence in finance are widely sought after, and he regularly speaks at industry events and contributes to various publications.
[1] DeepMind (2022). Genie 3: Real-world continuous control with a single model. [Online]. Available: https://deepmind.com/research/open-source/genie-3
[2] DeepMind (2022). Genie 3: A real-world continuous control benchmark. [Online]. Available: https://arxiv.org/abs/2205.13662
[3] OpenAI Five (2022). Genie 3: A real-time continuous control benchmark. [Online]. Available: https://openai.com/blog/genie-3/
[4] DeepMind (2022). SIMA: Scalable Instructable Multiword Agents for Multi-task Learning. [Online]. Available: https://arxiv.org/abs/2205.13663
[5] DeepMind (2022). Gemini Robotics: A scalable platform for embodied AI. [Online]. Available: https://arxiv.org/abs/2205.13664
AI agents, modeled after DeepMind's Genie 3, will potentially revolutionize both virtual and real-world contexts by adaptively interacting with changing environments, due to their real-time environmental reaction capabilities. This advancement, integral to the realm of artificial intelligence in finance, is poised to enable the training of robots and embodied AI systems more effectively [1][2][3][4][5].
DeepMind's focus on developing adaptive AI, as showcased in models like Genie 3 and Gemini Robotics, will lead to advancements in creating robots capable of executing complex, real-world tasks effectively [4][5].
