OpenBMB· @OpenBMB · X·· 2026-09-20AI 评分39
AI 导读
面壁智能 MiniCPM5-2B 在 Intel i5-9400F、16GB 内存的 Linux 老电脑上本地运行,驱动 MiniCPM News Desk 每小时汇总 AI 科技新闻并通过 Telegram 推送过去 24 小时摘要。该 2B 模型负责从文章中筛选有用段落,代码处理采集、过滤与投递,无需 GPU 或云 API。
正文 · 原文
This is exactly the kind of small-model use case we love. No massive GPU, no cloud API, just a 2B model turning an old PC into a useful personal news desk.
Small models don't need to do everything. They just need to do one useful thing reliably. ☕
I wanted to see how useful a small local model could be on my older computer, so I gave @OpenBMB’s MiniCPM5-2B a simple job. The machine: an Intel i5-9400F with 16GB of RAM, running Linux. I built MiniCPM News Desk around something I already spend time doing: keeping up with AI and tech news. ☕ On my machine, it’s connected to an hourly official source collector and configured to send one Telegram recap covering the previous 24 hours. A lead story, other meaningful updates, and quick hits with links to the original sources. Enough information to understand what happened and whether it matters to me. If I want more detail, I can open the article. The code handles collection, filtering, and delivery. MiniCPM selects useful passages from supported articles, while the system preserves important dates, requirements, and limitations. Smaller updates use clearly labeled publisher excerpts or headline links. A small, practical project using hardware I already own. I started with AI and tech because that’s what I follow. The same idea could be adapted to other interests. Here’s what the Telegram output looks like:在 X 查看被引用的帖子
来源:OpenBMB · x.com