OpenAI的Astra模型每小时不到6美元，能完成从数据标记到系统部署的全套AI工程任务，还能协调子智能体。
OpenAI的Astra模型已处理超过200亿tokens，应用于各种AI工程任务。该模型每小时成本低于6美元，能够选择和训练模型、标记数据、保持管道饱和、部署和调试系统。Astra还能协调和评估子智能体，并在数十亿tokens的单一智能体线程中保持连贯性。
We spent >20B tokens throwing @openai's Astra at every AI Engineering task we could think of, beyond...
We spent >20B tokens throwing @openai 's Astra at every AI Engineering task we could think of, beyond cute Blender demos and fun games. latent.space/p/astra Here's everything Astra can do, and do so at <$6 an hour (serious): - choose and train models - label data (both helping you label and then using your labels for active learning) - keep pipelines saturated - instrument and read logs - deploy and debug entire systems in one shot - fan out and command and eval subagents (including agents running other models) - keep coherence over billions of tokens of a single agent thread. more to come on @swyx 's coverage of the Fable- and Astra-class of 2026! 💬 5 🔄 9 ❤️ 162 👀 123532 📊 64 ⚡