内容来源：https://blog.google/products-and-platforms/products/gemini/gemini-4-argon-builders/

内容总结：

谷歌近日发布新一代前沿模型Gemini 4 Argon，该模型在编程、金融、法律、网络安全和科学等多个领域的复杂现实任务中展现出深度处理能力，凭借多步骤任务中的深度与精度优势，在多项行业基准测试中超越其他前沿模型。自上周大规模开放以来，开发者已利用其扩展能力打造交互工具、3D场景等创新应用。以下是社区开发者五个代表性案例：

一是水上飞机3D模拟。开发者Lumina利用Argon在空间推理、数学精度和可视化编程方面的升级，渲染出具备真实光影、反射和水面运动效果的3D水上飞机模拟，模型能够同步协调多个元素的运动。

二是3D地球实时映射山火与地震波。开发者Alex Patrascu在Antigravity平台中使用Argon，将美国宇航局全球山火实时数据与美国地质调查局地震数据相结合，构建出可交互的3D地球，实现数据解析、坐标映射及动态震波与热点的渲染。

三是交互式喷气发动机。开发者Ashutosh Shrivastava结合Blender与Three.js，利用Argon生成高涵道比涡扇发动机的精细模拟，包含实时测量数据与逐部件规格说明。

四是从单张图片构建3D马车。开发者The Bugged Dev仅提供一张哥特式维多利亚马车图片，Argon便将其转化为可交互的3D体验，车门车窗可开合、油灯闪烁、底盘能对路面颠簸作出反应。

五是多人夺旗游戏。开发者Chong-U借助Argon打造浏览器多人游戏《Backyard Rascals》，卡通动物角色可奔跑、碰撞、互相击打并在多玩家实时对战中欢呼庆祝。

目前，Gemini 4 Argon已通过AI Studio和Gemini平台API面向全球开发者与企业开放，同时面向Google AI Ultra及付费Pro订阅用户登陆Google Antigravity，并向Google AI Ultra与Pro订阅用户开放于Gemini应用及搜索中的AI模式。

中文翻译：

看看开发者们用Gemini 4 Argon做出了什么
Gemini 4 Argon是我们全新的前沿模型，擅长攻克复杂项目。Argon在复杂的现实世界任务中表现出色，能够胜任编程、金融、法律、网络安全和科学等多个领域的深度工作。凭借在多步骤任务中的深度与精准度，Argon在各领域的基准测试中超越了其他前沿模型。
自从上周大范围推出Argon以来，我们看到开发者们充分利用其扩展能力来创建交互式工具、构建3D世界等等。以下是来自社区的五个作品——包括一个实时绘制构造冲击波的地球仪和一个3D多人在线游戏——是目前我们最喜欢的几个。
模拟水上水上飞机。
凭借在空间推理、数学精度和视觉编码方面的重大升级，Gemini 4 Argon能够生成复杂的3D环境。在Lumina（X平台@LuminaBench）的这次测试中，Argon渲染了一架水上飞机的3D模拟，具有逼真的光照、反射和水面运动效果。由于Argon能够在多步骤任务中保持深度和精度，它得以同时协调不同元素的运动。
在3D地球上绘制野火和构造冲击波。
Gemini 4 Argon擅长将密集的非结构化数据转化为清晰的视觉效果。Alex Patrascu（X平台@maxescu）在Antigravity中使用Gemini 4 Argon，结合NASA的全球野火实时数据和美国地质调查局的地震数据，创建了一个交互式3D地球仪。Argon在编程等领域的尖端推理能力使其能够解析数据、映射坐标，并渲染动态的冲击波和热点。
构建交互式喷气发动机。
Ashutosh Shrivastava（X平台@ai_for_success）使用Gemini 4 Argon配合Blender和Three.js，生成了一个高涵道比涡扇喷气发动机的详细模拟，包含实时测量数据和各部件规格。凭借在编程方面增强的能力以及维持长时间多步骤任务的能力，Argon能够先对各个元素进行建模，再将它们一起渲染到3D环境中。
从单张图片构建3D马车。
Gemini 4 Argon能够将平面图像文件变为现实。The Bugged Dev（X平台@thebuggeddev）给Argon提供了一张哥特式维多利亚马车的单张图片，并要求它将其构建为完整的交互式3D体验。Argon将这张图片转化为一个复杂的渲染作品，车门和车窗可以开合，油灯闪烁，底盘能对路面颠簸做出反应。
创建一个多人在线夺旗游戏。
Chong-U（X平台@chongdashu）使用Gemini 4 Argon构建了“Backyard Rascals”——一款多人在线浏览器游戏，卡通动物们竞相夺取对方的旗帜。Argon在复杂工作流中保持深度和精准度的能力，帮助这位创作者打造了一款具有复杂功能的游戏，角色可以奔跑、碰撞、互相击打，并在多名玩家实时对战时欢呼庆祝。
Gemini 4 Argon现已通过AI Studio和Gemini平台的API面向全球开发者和企业开放，Google AI Ultra和付费Pro订阅者可在Google Antigravity中使用，Google AI Ultra和Pro订阅者可在Gemini应用和搜索的AI模式中使用。

英文来源：

See what 5 builders are making with Gemini 4 Argon
Gemini 4 Argon, our new frontier model, excels at tackling complex projects. Argon excels at deep work in complex, real-world tasks to help across domains including coding, finance, legal, cybersecurity, and science. Its depth and precision across multi-step tasks leads Argon to outperform other frontier models on benchmarks across domains.
Since we rolled out Argon broadly last week, we've seen builders tap into its expanded abilities to create interactive tools, engineer 3D worlds, and more. These five builds from the community — including a globe that maps tectonic shockwaves in real time and a 3D multiplayer game — are some of our favorites so far.
Simulate a seaplane on water.
With major upgrades in spatial reasoning, mathematical precision, and visual coding, Gemini 4 Argon can generate complex 3D environments. In this test by Lumina (@LuminaBench on X), Argon rendered a 3D simulation of a seaplane with realistic lighting, reflections, and water movement. Because Argon can maintain depth and precision across multi-step tasks, it was able to coordinate the motions of different elements simultaneously.
Map wildfires and tectonic shockwaves on a 3D globe.
Gemini 4 Argon excels at turning dense, unstructured data into clear visuals. Using Gemini 4 Argon in Antigravity, Alex Patrascu (@maxescu on X) combined NASA's live feed of global wildfires and seismic data from the U.S. Geological Survey to create an interactive 3D globe. Argon's frontier reasoning across domains like coding allowed it to parse data, map coordinates, and render animated shockwaves and hotspots.
Engineer an interactive jet engine.
Using Gemini 4 Argon with Blender and Three.js, Ashutosh Shrivastava (@ai_for_success on X) generated a detailed simulation of a high-bypass turbofan jet engine with live measurements and data and part-by-part specs. With enhanced capabilities across coding and the ability to sustain long, multi-step tasks, Argon was able to model individual elements before rendering them together in a 3D environment.
Build a 3D carriage from a single image.
Gemini 4 Argon has the ability to bring flat image files to life. The Bugged Dev (@thebuggeddev on X) gave Argon a single image of a Gothic Victorian carriage and asked it to build the whole thing as an interactive 3D experience. Argon translated the image into a complex rendering with functioning doors and windows, flickering oil lamps, and an undercarriage that reacts to bumps in the road.
Create a multiplayer capture-the-flag game.
Chong-U (@chongdashu on X) used Gemini 4 Argon to build “Backyard Rascals,” a multiplayer browser game where cartoon animals race to capture the other team’s flag. Argon's ability to maintain depth and precision across complex workflows helped this creator build a game with complex features allowing the characters to run, collide, whack each other, and cheer as multiple players engage in real time.
Gemini 4 Argon is now globally available for developers and enterprises via the API in AI Studio and Gemini platform, for Google AI Ultra and paid Pro subscribers in Google Antigravity, and Google AI Ultra and Pro subscribers in the Gemini app and AI Mode in Search.