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swyx· @swyx · X·· 27 天前AI 评分65
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swyx 称 AI Engineering 已进入新阶段,并转引 Latent Space 播客对 OpenAI Astra 的实测:团队用超过 20B tokens 的 Astra 测试各类 AI Engineering 任务,成本低于每小时 $6。Astra 可选择和训练模型、辅助标注数据并做主动学习、保持 pipeline 饱和、读取日志、一次性部署和调试系统、指挥子智能体并评估,还能在单条智能体线程数十亿 tokens 中保持连贯。

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sorry for the radio silence folks - got sucked into extreme LLM psychosis. but i can confidently say we have crossed over into a new age of AI Engineering and we are never, ever, looking back.

this isnt even EVERYTHING i did with Astra but i'll append more reports as I publish them on LS!

引用Latent.Space@latentspacepod
We spent >20B tokens throwing @openai's Astra at every AI Engineering task we could think of, beyond cute Blender demos and fun games. https://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!
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来源:swyx · x.com