原帖引用 · AI 翻译
AI 已经超越了代码和文本。现在，它正在设计人们生活和工作的建筑。
@snaptrude Agent 接收场地信息或设计任务书，生成可用于施工的建筑模型，其中结构、给排水、电气和全套图纸都已设计完成，而建筑师全程把控每一步。
这意味着 AI 的工作已经触及有人制造、由施工队安装的实体部件层面。大多数建筑领域的 AI 止步于建筑外形。这里的模型包含实际构件，由此生成的图纸描述的是产品目录中确实存在的系统。
https://t.co/EVZcQTX18U
原文
AI has moved past code and text. It is now designing the buildings people will live and work in. @snaptrude Agent takes a site or a brief and produces a construction-ready building model with the structure, plumbing, electrical and full drawing set worked out, while the architect steers every step. That is AI working at the level of physical parts someone manufactures and a crew installs. Most AI for buildings stopped at the shape. Here the model carries the actual components, and the drawings that come out of it describe a system that exists in a catalogue. https://t.co/EVZcQTX18U
今天，我们推出 @snaptrude Agent，这是最先进的建筑设计智能体。
它与你一起完成真正的设计工作：从场地出发，生成包含结构、MEP 和图纸、可用于施工的 LOD 400 模型。之后，你还可以将成果带回现有软件，并保留原有族。
大约 1 年前，我们押上整个公司投入 AI。说实话，这个洞见来自软件工程。就在不久前，自动补全还让人觉得是件大事，而现在工程师已经在指挥智能体编写大量代码。我认为同样的转变也将发生在建筑设计中，而且已经开始了。
我遇到的大多数设计师缺的不是能力，而是时间。想想每个设计团队都害怕接到的电话：客户要削减 30% 的预算。如今，这会让所有人接下来 1 个月都不好过。有了这个智能体，你就是指挥者。你决定从哪里削减成本，它就会更新布局、协调结构与 MEP，并重新绘制图纸。因此，当设计探索的成本降到这么低时，我们就能从 3 个方案增加到 300 个；更多选择意味着更好的建筑。
自 8 月以来，我们的用户已处理超过 1400 亿个 token；如今，Jacobs、Studio+、Kajima、VMDO、Dekker 等公司以及其他数百家公司都在使用 Snaptrude。在早期体验阶段，自 9 月以来，超过 2,000 名设计师已通过该智能体执行了超过 25,000 项任务。
我们还为此构建了一个基准测试 AECBench，因为在 AEC 领域，几乎正确的答案仍然是错的。它向 AI 提供与建筑师收到的相同的设计任务书，要求 AI 在真实的 BIM 模型中完成设计，并根据任务书以及建筑师评审设计的方式对结果评分。我们今天发布首批结果，链接见下方。
感谢 @Accel 的 @prashanthp，以及 @foundamental 的 Shub 和团队，在这一切还只是一次押注时就支持我们；也感谢打造了这一切的 Snaptrude 团队。真的为你们所有人感到骄傲。
感谢我们的投资者 @scottbelsky、@andreasklinger、@thilokonzok、@immad、@CindyXBi、@DanilaVladi、@jmwass、rahulchaudhary、@adamecourt、Zach Ginsburg、Alex duff、Paul grossinger。非常感谢你们一路以来的帮助。
原文
Today we're launching @snaptrude Agent, the most advanced agent for building design. It does real design work with you, from a site to a construction-ready LOD 400 model with structure, MEP and drawings. Then can go back to your existing software with your families intact. About a year ago we bet the company on AI. Honestly the insight came from software engineering. It wasn't long ago that autocomplete felt like a big deal, and now engineers direct agents that write a lot of the code. I think the same shift is coming to how we design buildings, and it's already started. Most designers I meet aren't short on skill, they're short on time. Take the call every design team dreads, the client cuts the budget by 30%. Today that's a bad month for everyone. With the agent you're the director. You decide where the cost comes out, and it updates the layout, coordinates the structure and MEP, and redoes the drawings. So when design exploration gets this cheap, we go from 3 options to 300, and more options means better buildings. Since August our users have gone through more than 140 billion tokens, and firms like Jacobs, Studio+, Kajima, VMDO, Dekker and hundreds of others use Snaptrude today. In our early access, more than 2,000 designers have run over 25,000 tasks through the agent since September. We also built a benchmark for this, AECBench, because in AEC an almost correct answer is still wrong. It gives AI the same brief an architect would get, has its design in a real BIM model, and scores the result against the brief and against how architects review design. We're publishing the first results today, link below. Thank you @prashanthp at @Accel and Shub and the team at @foundamental for backing us when this was still a bet, and the Snaptrude team, who built every bit of this. Really proud of you all. Thanks to our investors, @scottbelsky, @andreasklinger, @thilokonzok, @immad, @CindyXBi, @DanilaVladi, @jmwass, rahulchaudhary, @adamecourt, Zach Ginsburg, Alex duff, Paul grossinger, really appreciate all the help along the way.