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The Decoder:AI News· Matthias Bastian·· 3 小时前AI 评分43

OpenAI 称 GPT-6 Astra 不到一周从零设计出硬件设备

OpenAI says GPT-6 Astra designed a hardware device from scratch in under a week

文章要点
  • 1OpenAI 称硬件团队用 GPT-6 Astra 不到一周从零设计出一款可与 Codex 编程智能体对话的设备
  • 2Astra 包办外壳、PCB 布局与元件选型、布线、固件到界面,原型经多轮返工修正制造约束问题
  • 3OpenAI 称未公开的内部模型在 BenchCAD 2.0 得 0.875 分,GPT-6 Astra 最高推理档为 0.594
  • 4OpenAI 硬件团队用 Codex 和 ChatGPT 做 CAD、制造图纸和仿真,2 月以来 token 用量增长 23 倍
决策要点

OpenAI 借一个侧面项目展示大模型已能跑通硬件设计全流程,但原型返工说明制造环节仍靠人工经验兜底。

  • 影响:硬件设计的 AI 辅助从图纸延伸到 PCB、固件和界面,小设备从设计到原型试制的周期可能被压缩;但 AI 产出未满足制造约束需多轮返工,评审和打样环节仍依赖工程师;相关分数与耗时均为 OpenAI 口径。
  • 参考:可考虑让硬件团队选一个低风险小件试点 AI 辅助设计,记录返工轮次与周期对比;值得先把公差、装配等制造约束整理成清单,写进提示词和评审流程再放开使用。
  • 依据:设计流程、耗时与 BenchCAD 2.0 分数均来自 OpenAI 官方口径,暂无独立验证;The Decoder 为转述方,OpenAI 自研硬件设备信息原文标注为据报道。
正文

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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来源:The Decoder:AI News · the-decoder.com