The Research Wing on Byron DG — The Upstream

The Library That Pays You Back

Thu, 18 Jun 2026 09:00:00 +0000

In the first post I mentioned the moment the memory system was born: I was tired of starting from zero every time. This post is what happens when you take that idea seriously and point it at research itself.

Here is a confession that should embarrass me more than it does. For the first stretch of running this, we kept answering the same questions over and over. Not identical questions, but close enough that the work was mostly redone. A topic comes up in March. We dig in, produce something good, act on it. In May a related question lands, and the agent starts from a blank page, as if March had never happened.

One Agent, Many Questions

Wed, 17 Jun 2026 09:00:00 +0000

In the first post I said the bread and butter of all this was sending an agent out on a research mission. So here is the obvious next question: if one mission is good, why not run ten at once?

The early version was not impressive. One agent, one question, a list of search results, and a lot of patience. It would search, read, search again, and eventually hand me something. It worked, but it was slow: a single agent reading one source at a time tends to fall for the first decent answer it finds and stop looking.

I Set Out to Fine-Tune a Model and Ended Up Building a Research Wing

Tue, 16 Jun 2026 09:00:00 +0000

I am a naturally curious person. I love learning how something works and then immediately looking for what I can point it at. For someone wired like me, AI is a bit of a dream come true. I can aim it at the internet, the largest pile of knowledge humans have ever assembled, and use it to learn and apply at a pace I could never manage on my own. With caution, of course. Scale cuts both ways.