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The Information：OpenAI 内部模型已能承担新实验模型训练的大部分流程
据 The Information 报道，OpenAI 内部 AI 模型已能处理构建和训练实验模型的大部分流程，包括编写 GPU kernel 和优化运行代码；研究人员给出一个优化示例后，模型可自行花数周实现并测试类似改进。报道还称内部多个智能体开始互相协作、无需人类参与，加上算力增长，部分过去需数年的实验现在约一周可完成。上述说法来自员工转述，尚未独立验证。
AI推荐理由 转述 The Information 报道称 OpenAI 内部模型已能承担新实验模型训练流程的大部分工作，包括编写 GPU kernel 和优化训练代码，内部多个智能体可互相协作，部分实验从数年缩短到约一周。该信息涉及 AI 自我改进与算力效率，价值较高，但属二手转述且为员工说法，未经独立验证，需保留不确定性。
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OpenAI 内部的 AI 模型已经基本能自动化新实验模型的训练流程了——包括编写 GPU 内核代码（GPU kernel，即直接控制显卡进行高性能计算的底层程序）和优化训练代码。
据 The Information 报道，研究人员现在只需给 AI 一个优化示例，它就能自己花几周时间去实现和测试类似的改进。更值得注意的是，OpenAI 内部的多个 AI 智能体已经开始互相协作解决问题，不再需要人类参与。
这种能力在过去几个月里进步显著。再加上 OpenAI 拥有的算力持续增长，以前可能需要几年才能完成的实验，现在大约一周就能跑完。
Wall St Engine@wallstengine
OPENAI HAS LARGELY AUTOMATED TRAINING OF NEW EXPERIMENTAL AI MODELS
OpenAI’s internal AI models can now handle much of the process of building and training experimental models, including writing GPU kernels and optimizing the code used to run them.
Researchers can reportedly give an AI a single example of the optimization they want, then let it work for weeks implementing and testing similar improvements.
OpenAI employees also say internal agents increasingly collaborate with each other to solve problems without involving their human users.
The capability has improved significantly in just the last few months, while OpenAI’s growing access to compute is allowing researchers to test ideas much faster. Employees said some experiments that previously could have taken years can now be carried out in about a week.
Source: The Information
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