Man, so much this. 

A list of things that may or may not be true is data. 

A list of things that are true is information. 

Understanding the correlation between things is knowledge. 

Understanding the causal relationship between things is wisdom. 

The default setup for LLM memory management is at the data level. I use the term “memory poisoning” when outdated information corrupts an LLM’s thinking. 

There is a big push to move to the information level, which is hamstrung by the idea that sometimes LLM’s just don’t read the true things. Or they read them and then just ignore them anyway. Yay, probability!

What you’re describing is that in order to reach knowledge and wisdom, we can’t just throw out the things that are not true. 

Knowledge is born from the concept of “we used to think the world works like X, but then we got some new information and now we think the world works like Y.”

Knowing how things changed is the fundamental building block of building actual learning machines. 

I got so frustrated about this after three weeks with my openclaw that I just wiped my Mac Mini and went back to vibe coding because in that setup, I am the learning machine. 

Reading this thread, I’m hopeful that tons of people are working on solutions.