01Agents
A topic-first map for AI evolution
The knowledge base should organize around technical change, with companies and sources as metadata rather than its main navigation.
A PERSONAL AI KNOWLEDGE BASE
Read the signal.
Keep the context.
A growing record of primary AI sources, technical shifts, and the judgments worth returning to.
Explore the notesCURATION · CONTEXT · JUDGMENTSCROLL TO EXPLORE ↓
ABOUT DIGEST
Following ideas as they evolve —
not just as they arrive.
LATEST NOTE
A topic-first map for AI evolution
A company-centered archive becomes hard to connect over time. A topic-centered map preserves the lineage from research through implementation and its consequences.
Read the noteTopic × judgment.
AI EVOLUTION MAP
CHOOSE THE THREAD
Company is a source dimension, not the archive. The map follows technical ideas across research, engineering, models, and time.
MAKE A MARK
Every entry records what changed and why it matters. Milestones stay visible; passing updates do not pretend to be more than they are.
What I keep
STARTER NOTES02AI Engineering
Primary sources first
Research, engineering posts, release notes, system cards, and developer documentation should form the core reading stream.
03Reasoning
Milestones are not feed items
A five-level importance scale separates a passing update from a technical or product shift worth revisiting years later.
PRIMARY-SOURCE WATCHLIST