
Research, Tools and Data Science
| Platform | Pricing | Freemium | Publishes | Twice weekly | |
|---|---|---|---|---|---|
| Issues | 204 | Founded | 6 years ago | Last Issue | 3 days ago |
| Active | Language | ||||

只有让环内的 Agent 自己跑得有效,我们才能真正站在「环上」来「指挥若定」。
疑问 前几天,我在知识星球上发了个感慨:
最难的不是画图,是如何教会它别画错
发现 2026 年 6 月 16 日,应《图书情报知识》宋恩梅老师邀请,我为武汉大学信息管理学院「珞珈信管・前沿论坛」做了在线讲座分享。
你大概也有过这样的时刻。
学生把论文交上来,文末挂着长长一串参考文献。你心里隐隐有个声音:这些文献,靠谱吗?会不会混着几条 AI 编出来的「幽灵文献」?你想抽几条出来核一核,可一想到要打开 CNKI,把作者、期刊、年份一条条敲进检索框、再逐个比对,那点力气就泄了,于是把念头按了下去。
这种活儿,搁两年前只有一个笨办法:自己动手,打开知网,把每条文献挨个查一遍,对不上的划掉。你要是去问聊天机器人,它也只会给你这套建议,告诉你「该去哪儿、怎么查」。话一个字都没错...
今天上午,我给自己带的 23、24 级数据科学系本科生开导学会。因为 23 级学生暑期后就要步入毕业年级了,因此今天的主题聊考研、聊实习、聊就业。
聊着聊着,我发现一个问题:不是他们不努力,而是他们努力的方向,好像全偏了。
例如想考研的,信息来源几乎全是考研机构的公开课和公众号。问他们目标院校的真实竞争情况,说不清楚;问导师的研究方向和招生偏好,更不知道。甚至有的同学想要跨考,居然都直奔计算机而去。可是具体什么方向,都不了解。我问他们原因,回答网上说了,考研...
将这种迭代循环纳入到工作流中,可能给你后续工作带来显著的「复利」改善
刚需 昨天我翻了一下我公开发布的视频的索引,发现仅在 B 站上,就已经接近 350 个了。
Subscribers, engagement, traffic and sponsorship for Shuyi’s Newsletter.
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The writers behind this newsletter.
Associate Professor at Tianjin Normal University
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