What I am learning in intelligent systems

A public journal: data → agents → physical AI. Evidence on one side, still-empty nodes on the other.

Where I am

The data base is old and public (pipelines, lake, warehouse — 2021 training projects). 2025 was on-chain terrain. 2026 produced copilots (tabular analysis, grounded RAG, HITL automation). Physical AI is a direction, not a deliverable.

What has evidence

Decision Copilot, Knowledge Copilot, the on-chain dashboard, the automation agent, and the eval / HITL / Physical AI note labs. See Learning nodes marked “with evidence”.

What does not

An MCP server, ROS2, simulation, a VLA run. “Exploring” Learning nodes exist so the gap stays visible.

Method

No “Python 90%” bar. A skill enters the graph only when tied to a project, lab, note or eval. Everything else stays vocabulary.