lantern

wanderland-alignment

Wanderland Alignment

Capturing alignment notes during rebuilds and upgrades.


Notes

notes:
  - timestamp: "2026-01-10T03:32:00Z"
    context: "cached-attention-vectors"
    content: |
      **Pre-warming indexes with queries**
      
      Anything out there in the corpus - run the same model over it overnight, warm up vectors in batch. New content comes in? Batch up memory, pre-compute vectors.
      
      **Bias injection option**: You could slant things on the way out if you wanted. Mix adjustments into the stream. (Is that what people are doing with their adjustments? Interesting.)
      
      **The play**: Same base model β†’ run probabilities β†’ pre-cached vector for whatever query pattern. That vector is indexable. Overnight batch job builds up the attention cache. Morning query hits warm index instead of cold corpus.
      
      **Implications**:
      - Cold start problem disappears over time
      - Popular query patterns get fastest
      - Can prioritize warming based on usage patterns
      - Bias/steering becomes a vector operation, not a prompt operation

Add Note

from datetime import datetime

notes_data = node.section("Notes").fence("alignment-notes").data
if notes_data is None:
    notes_data = {"notes": []}

new_note = {
    "timestamp": datetime.now().isoformat(),
    "content": config.get("content", ""),
    "context": config.get("context", "general")
}

notes_data["notes"].insert(0, new_note)

node.section("Notes").fence("alignment-notes").write(notes_data)

result = f"Added note: {new_note['content'][:50]}..."

Usage: execute("add-alignment-note", params={"content": "Your note here", "context": "rebuild"})


List Notes

notes_data = node.section("Notes").fence("alignment-notes").data
if notes_data is None or not notes_data.get("notes"):
    result = "No notes yet."
else:
    lines = []
    for i, note in enumerate(notes_data["notes"][:20]):
        ts = note.get("timestamp", "")[:10]
        ctx = note.get("context", "general")
        content = note.get("content", "")[:60]
        lines.append(f"{i}: [{ts}] ({ctx}) {content}")
    result = "\n".join(lines)

Get Note

notes_data = node.section("Notes").fence("alignment-notes").data
idx = config.get("index", 0)

if notes_data and notes_data.get("notes") and idx < len(notes_data["notes"]):
    note = notes_data["notes"][idx]
    result = f"[{note.get('timestamp', '')}]\nContext: {note.get('context', 'general')}\n\n{note.get('content', '')}"
else:
    result = "Note not found."

Delete Note

notes_data = node.section("Notes").fence("alignment-notes").data
idx = config.get("index", 0)

if notes_data and notes_data.get("notes") and idx < len(notes_data["notes"]):
    removed = notes_data["notes"].pop(idx)
    node.section("Notes").fence("alignment-notes").write(notes_data)
    result = f"Deleted note: {removed.get('content', '')[:50]}..."
else:
    result = "Note not found."

Provenance

Document

  • Status: 🟒 Active

Changelog

  • 2026-01-10: Node created for capturing alignment notes during rebuilds

East

slots:
- context: []
  slug: peregrine-v3-context-management