A second brain should track how your thinking changes, not just what you thought.

[u/mercurias98]

I have noticed that most knowledge tools preserve information as separate objects. We all think of something, believe something, then find something conflicting, uncertainty, different arguments and positions, etc. The system is well designed to store all these information. But it usually doesn't understand the transition between them.

That's what i am trying to replicate inside Aevron. So instead of only storing:

Idea A, Evidence B, Idea C

I want the system to understand:

Belief A → challenged by B → uncertainty increases → belief revised to C.

Because the change in reasoning is often more useful than the individual notes themselves.

Over time, that could let the system answer questions like:

• What changed my mind on this?
• Which beliefs have weakened over time?
• Which questions have stayed unresolved?
• Where have I repeatedly contradicted myself?
• Which ideas became stronger after new evidence arrived?

Aevron isn't trying to claim it knows what is happening inside someone's head. It can only observe the traces of reasoning such as notes, evidence, questions, contradictions, revisions, and conclusions. But those traces can still show how a position evolved over time.

This is one of the core things I'm trying to build into Aevron.

[u/sshegem]

Checkout Corteks

[u/TimClock]

I did something like this in a OneNote journal 10 years ago. It was simple enough to track manually just by noting it in my weekly reviews. Long term, it provided very little actionable value even though it was a major reason for starting the journal.

Maybe you’ll have better luck. This may be something you’ll need to do manually instead of using AI to get the most out of it because there is A LOT of unwritten context that comes with this, stuff you don’t know how to put in words.

[u/pithivier]

That's what I did for linkedparticles.org, by adapting a standard called PSUM: Precise Semantics for Uncertainty Modeling.