去年，Google DeepMind 寄出游戏股票随其Genie 3世界模式的曝光而崩溃。 从那时起，世界模型成为了世界各地AI实验室的主要关注点，但Google并没有停留在它的荣耀上。 研究者们一直在努力研究一个更新的模型，这个模型几乎以各种方式改进了Genie 3. 如果你给Google足够的钱，你可能会在太早之前使用Genie 4。
Genie 4的出品很容易，但DeepMind并不这么认为。 Google认为，世界模型是向人工一般智能(AGI)进军的关键因素。 一个世界模型创造了一个虚拟世界，但它并不需要预发环境或编程交互要素。 你只是告诉模型你想要什么，它在探索时实时生成经验框架。
DeepMind 称这种技术可以为物理机器人创造无限的训练环境，或者为创意领域解开快速原型的新途径。 当然，这需要模型准确模拟你想要的。 Genie 4有一些改进使其模拟更有用，这部分归功于Google更新的Gemini模型。
当你在Genie 4中促使一个世界存在时，它利用了Gemini 3.8 Flash作为引导agent分解目标并评价每个输出框架。 这有助于模拟保持正轨，让你在不失去原上下文的前提下，通过不同的环境移动。 然而，Genie 4世界的"DeepMind 指出"在他们忘记事情的开始之前，仅仅保持了几分钟的一致。
和"Genie 3"一样，新版本支持改变中流参数。 您可以改变天气，添加元素，或者移动相机，Gemini将帮助引导每次更新的模拟。 这类似于推理模型在正确的输出符上生成额外的内部提示到0的方式。
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Last year, Google DeepMind sent gaming stocks tumbling with the reveal of its Genie 3 world model. Since then, world models have become a major focus of AI labs around the world, but Google isn’t resting on its laurels. Researchers have been hard at work on an updated model that improves on Genie 3 in almost every way. And if you pay Google enough money, you might actually get to use Genie 4 before too long.
It’s easy to look at the output of Genie 4 and see a video game, which is why Genie 3 caused so much consternation in the gaming industry. DeepMind doesn’t think about it that way, though. According to Google, world models are a key element in the march toward artificial general intelligence (AGI). A world model creates a virtual world, but it doesn’t require pre-rendering environments or programming interactive elements. You simply tell the model what you want, and it generates the experience frame by frame in real time as you explore it.
DeepMind says this technology could create infinite training environments for physical robots or unlock new avenues of rapid prototyping for creative fields. Of course, that requires the model to accurately simulate what you want. Genie 4 has several improvements that make its simulations more useful, and that’s thanks in part to Google’s updated Gemini models.
When you prompt a world into existence in Genie 4, it leverages Gemini 3.8 Flash as a guiding agent to break down goals and evaluate each output frame. This helps keep the simulation on track, letting you move through varying environments without losing the original context. However, DeepMind notes that Genie 4 worlds still only remain consistent for a couple of minutes before they forget how things started.
Like Genie 3, the new version supports changing the parameters midstream. You can change the weather, add elements, or move the camera, and Gemini will help steer the simulation with each update. This is similar to the way reasoning models generate additional internal prompts to zero in on the right output tokens.
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