谷歌发布AI基础世界模型Genie，一张图生成交互世界
近日，谷歌研究人员发布了110亿参数的全新AI模型Genie，仅用一张图片，便可生成一个交互式世界，生成的世界“动作可控”，用户可以在其中逐帧行动。谷歌将该模型定义为“生成式AI的一种新模式”，并命名为Genie（全称generative interactive environments，生成式交互环境，Genie一词中文意为“精灵”）。
Genie的诞生标志着生成式AI迈入了一个新的阶段。以往的生成式AI模型，如GPT-3和DALL-E 2，只能生成文本或图像。而Genie则可以生成一个完整的、可交互的世界，这极大地扩展了生成式AI的应用范围。
谷歌研究人员表示，Genie开启了“图/文生成交互世界”的时代，还将成为实现通用AI Agent的催化剂。通用AI Agent是一种能够在各种环境中执行各种任务的AI系统，一直是人工智能领域的圣杯。Genie的出现，为通用AI Agent的研发提供了新的思路。
目前，Genie还处于早期研发阶段，但其潜力巨大。未来，Genie有望在游戏、教育、培训和仿真等领域发挥重要作用。
Genie的工作原理
Genie的工作原理是将一张图片作为输入，然后生成一个与图片相对应的三维世界。这个三维世界中的物体都是可交互的，用户可以在其中自由移动和操作。
Genie使用了一种名为“神经辐射场”（NeRF）的技术来生成三维世界。NeRF是一种神经网络，可以从一组二维图像中学习三维场景的表示。通过训练Genie在大量图像数据集上，谷歌研究人员使其能够从任何一张图片中生成逼真的三维世界。
Genie的应用
Genie的应用范围非常广泛，包括：
* 游戏：Genie可以用来创建新的游戏世界，这些世界比传统的游戏世界更加逼真和交互性。
* 教育：Genie可以用来创建交互式的教育体验，让学生可以身临其境地学习各种科目。
* 培训：Genie可以用来创建逼真的培训模拟器，帮助人们在安全的环境中练习各种技能。
* 仿真：Genie可以用来创建逼真的仿真环境，用于测试新产品和服务。
Genie的局限性
尽管Genie具有巨大的潜力，但它也有一些局限性。例如，Genie目前只能生成静态的三维世界。未来，谷歌研究人员计划开发能够生成动态三维世界的Genie版本。
此外，Genie对计算资源的要求很高。目前，只有大型科技公司才有能力训练和部署Genie这样的模型。未来，随着计算能力的提高，Genie有望变得更加普及。
结论
Genie是生成式AI领域的一项重大突破。它开启了“图/文生成交互世界”的时代，并有望在未来对各个领域产生重大影响。
英语如下：
**Headline:** AI Genie Emerges, Transforming Images into Interactive Worlds
**Keywords:** AI Model, Interactive Worlds, General AI
**Article:**
Google Unveils Genie, a Groundbreaking AI Foundation Model, Generating Interactive Worlds from Single Images
Google researchers have unveiled Genie, a novel AI model with 110 billion parameters, capable of generating interactive worlds from a single image. The generated worlds are “actionable,” allowing users to navigate and interact with them frame by frame. Google defines this model as “a new paradigm for generative AI” and hasdubbed it Genie (short for generative interactive environments).
Genie’s inception marks a new era for generative AI. Previous generative AI models, such as GPT-3 and DALL-E 2, were limited to generating text or images. Genie, however, can generate an entire, interactive world, significantly expanding the scope of generative AI applications.
According to Google researchers, Genie ushers in an era of “image/text-to-interactive-world generation” and will serve as a catalyst for realizing general AI agents. A general AI agent is an AI system capable of performing a wide range of tasks in diverse environments, along-standing holy grail in the field of artificial intelligence. Genie’s emergence offers new insights into the development of general AI agents.
While Genie is still in its early stages of development, its potential is immense. In the future, Genie is expected to play a significant role in industries such as gaming, education, training, and simulation.
**How Genie Works:**
Genie operates by taking an image as input and generating a corresponding 3D world. Objects within this 3D world are interactive, allowing users to move around and manipulate them freely.
Genie employs a technique called “neural radiance fields” (NeRFs) to generate 3D worlds. NeRFs are neural networks that can learn a 3D representation of a scene from a set of 2D images. By training Genie on a vast dataset of images, Google researchers have enabled it to generate realistic 3D worlds from any given image.
**Applications of Genie:**
Genie has a wide range of potential applications, including:
* **Gaming:** Genie can be used to create novel game worlds that are more realistic and interactive than traditional game worlds.
* **Education:** Genie can be used to create interactive educational experiences, allowing students to learn about various subjects in animmersive way.
* **Training:** Genie can be used to create realistic training simulators, helping people practice various skills in a safe environment.
* **Simulation:** Genie can be used to create realistic simulation environments for testing new products and services.
**Limitations of Genie:**
Despite Genie’s immense potential, it does have some limitations. For instance, Genie can currently only generate static 3D worlds. In the future, Google researchers plan to develop versions of Genie that can generate dynamic 3D worlds.
Additionally, Genie requires substantial computational resources. Currently, only large technology companies have the capacity to train and deploy models like Genie. As computing power increases, Genie is expected to become more widely accessible in the future.
**Conclusion:**
Genie is a groundbreaking advancement in the field of generative AI. It opens up an era of “image/text-to-interactive-world generation” and promises to have a significant impact on various industries in the future.
【来源】https://www.chinastarmarket.cn/detail/1604953
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