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Limitations and next steps
局限性与后续步骤
All three of these devices are still prototypes: they haven’t been through electrical validation, antenna tuning, thermal testing, or certification, and they weren’t designed for mass production. Since Claude wasn’t connected to test equipment or to the machines that make and assemble circuit boards, engineers at Diode had to physically build and test the prototypes. Even so, over the past year, Claude has improved substantially at reasoning through decisions about component placement and routing, and it can now design electronics with minimal human guidance and help people build the prototypes. Other models are making progress here, too: OpenAI recently wrote about using its models to design a handheld device. Work like this could help engineers build and test new hardware designs faster.
这三款设备均仍为原型：它们尚未经过电气验证、天线调谐、热测试或认证，也并非为量产而设计。由于 Claude 未连接测试设备，也未连接制造和组装电路板的机器，Diode 的工程师不得不以物理方式构建并测试这些原型。即便如此，在过去一年中，Claude 在围绕元件布局与布线决策进行推理方面已有显著提升，如今它能够在极少人工指导下设计电子设备，并帮助人们构建原型。其他模型也在这一方向上取得进展：OpenAI 近期撰文介绍了使用其模型设计一款手持设备的情况。此类工作有望帮助工程师更快地构建并测试新的硬件设计。
Next, we plan to investigate whether Claude can design denser, faster, and more complex boards, check them in simulation, and learn from measurements taken on the finished devices.
接下来，我们计划研究 Claude 能否设计更密集、更快速且更复杂的电路板，在仿真中对其进行检查，并从成品设备上采集的测量数据中学习。 |
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，这样自动布线让狗来点都行，原理图倒是画得很好看。
