Parantu 分享科研 AI 实践要点
摘要
以下是 Parantu 所讲内容的要点回顾： • 别再检索，开始判断：“不要问什么已发表，要问证据是什么。” • AI 错误会累积。围绕模型搭建一套框架，并把它当作你的知识产权。 • 数据孤岛才是真正的瓶颈。 • 当下一个部门主动来要时，试点才算成功。
摘要由模型根据原文撰写，以原文为准。
正文 · 原文
Below is a recap of what Parantu covered:
- Stop searching, start judging: "Don't ask what's published, ask what's the evidence."
- AI errors compound. Build a harness around the model, and treat it as your IP.
- Siloed data is the real bottleneck.
- A pilot worked when the next department asks for it.
来源：Elicit · x.com
引用原文
elicitorg. Below is a recap of what Parantu covered:[EB/OL]. (2026-11-02)[访问日期]. https://x.com/elicitorg/status/2117270777880105207.