OpenAI 内部 AI 已能自动化实验模型训练，包括写 GPU kernel

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 In...

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 🔗 View Quoted Tweet 💬 1 🔄 0 ❤️ 10 👀 2447 📊 3 ⚡