Senior's Notes: A Knowledge Base That Gets More Correct, Not Just Bigger
Eight months of weekly updates to ai-solutions.wiki, and the habits that keep a fast-moving AI knowledge base trustworthy.
Lesson 1: a correction is a feature
In week 44 a statistic in one entry could not be traced to anything solid. It was not dramatic, it was just a number that had been repeated often enough to sound true. It was removed and replaced with the original measurement it had drifted from, and the commit says exactly that.
A wiki that never corrects itself is not accurate. It is just not looking.
Lesson 2: nothing goes live without a human click
Updates arrive as proposals. They get a preview, they get read, and only then are they merged. The four merged pull requests since late October (#13, #14, #15 and #17) all went that way. Slower than publishing directly, and that is the point: a knowledge base is only as fast as its slowest honest step.
Lesson 3: news and verification travel together
The weekly pass does not only add what is new. It also goes back over what the new thing touches: the model pages, the tool pages, the security roundup. Adding without rechecking is how a wiki quietly rots.
Lesson 4: prefer the primary source, even when it is boring
A company announcement, a filing, a CVE entry, a paper. Not the article about the article. The primary source is often drier and always more useful, because it is the thing you can point a reader to.
#ai #knowledge-base #verification #lessons-learned #open-source