A SNAPSHOT, NOT A SCHEDULE
Where my attention is.
A few things occupying the foreground.
The rest is still there.
Sato
Connecting local knowledge retrieval, notebooks, and an agent runtime into a learning layer that belongs to the student.
follow this thread ↗OpenLens
Working through how websites are indexed, evaluated, and understood by AI systems. Following information from source to answer.
follow this thread ↗Dynamical systems
Thinking in states, inputs, and feedback. Following the connections between control, continuous intelligence, and physical systems.
follow this thread ↗Kichwa
The relationship between language preservation, data provenance, model training, and the people who can validate the result.
follow this thread ↗Also unresolved: can intelligence be continuous? And what does responsible modeling look like when the data is scarce?
This page records a moment of attention. It will move.