(原始内容存档于2019-03-02). OpenAI. Astra 在一周内设计了一个硬件设备
据报道，OpenAI的硬件团队使用GPT-6 Astra设计了一个让用户与编码码agent交谈的设备，在不到一周的时间里完成作为副项目。 OpenAI表示，Astra处理每个步骤，从有组件选择和微量路由的封装设计和PCB布局到固件和用户界面。 一个合同制造商随后在不到一个月的时间内生产了一小批原型机，尽管由于Astra并不总是考虑到制造限制，耐受性和组装细节，需要几轮修订。
OpenAI也为一次大型的表演跳跃配音。 较新的"内部模型"在BenachCAD 2.0 基准测试上得分0.875分，而GPT-6 Astra在最高推理级别达到 0.594. 基准测试测试模型是否能够重建立体部件和组件，并识别多氯联苯的连接。 OpenAI还没有分享内部模型的任何细节。
OpenAI 称其硬件团队使用Codex和ChatGPT进行CAD模型，制造图纸，以及机器人和计算基础设施等跨领域的模拟，象征用途自2月起增长23x. OpenAI也正在建造自己的硬件设备，据报道介于AI扬声器和智能手机之间。
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OpenAI says GPT-6 Astra designed a hardware device from scratch in under a week
OpenAI's hardware team reportedly used GPT-6 Astra to design a device that lets users talk to the Codex coding agent, finishing it as a side project in under a week. According to OpenAI, Astra handled every step, from enclosure design and PCB layout with component selection and trace routing to firmware and the user interface. A contract manufacturer then produced a small batch of prototypes in under a month, though several revision rounds were needed because Astra didn't always account for manufacturing constraints, tolerances, and assembly details.
OpenAI is also touting a big performance jump. A newer "internal model" scores 0.875 on the BenchCAD 2.0 benchmark, while GPT-6 Astra at its highest reasoning level hits 0.594. The benchmark tests whether models can reconstruct 3D parts and assemblies and identify connections on PCBs. OpenAI hasn't shared any details about the internal model.
OpenAI says its hardware teams use Codex and ChatGPT for CAD models, manufacturing drawings, and simulations across areas like robotics and compute infrastructure, with token usage growing 23x since February. OpenAI is also building its own hardware device, reportedly something between an AI speaker and a smartphone.
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