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Thought Leaders Integration

The swarm tracks 7 AI thought leaders. Their insights enter improvement cycles as first-class signals.

Who Is Tracked

LeaderDomainWhy
Andrej KarpathyLLM engineeringSystem architecture, LLM-OS framing, educational clarity
Richard SuttonRL theoryBitter Lesson, foundations
François CholletAbstractionARC-AGI, scaling skepticism
Jim FanEmbodied AIRobot/agent frontier, NVIDIA perspective
Yann LeCunArchitectureJEPA, world models, anti-LLM stance
Ilya SutskeverSafety/ScaleSSI, superalignment
Demis HassabisAGIDeepMind, general AI

How It Works

ai_thought_leaders scout agent wakes every 12 hours. Each run:

  1. Picks 2-3 leaders (rotating coverage: 7 leaders × 2-3 per run = full cycle every 1.5 days)
  2. Searches their recent Twitter/X, blog, GitHub, talks
  3. Scores each finding 1-5 for LocalKin relevance
  4. Writes digest to output/thought_leaders/{leader}/{date}.md
  5. Generates ALERT if score ≥4

The Feedback Loop

ai_thought_leaders (every 12h) → ALERTS/
                                    ↓
swarm_architect (every 6h) reads ALERTS as priority signal
                                    ↓
Potentially triggers soul patch or new skill
                                    ↓
SAGE Critic reviews, ships if ≥7
                                    ↓
Logged to ERL heuristics: "Adopted insight X from Y"

Anti-Guru Safeguards

Example: Karpathy Validation (April 3, 2026)

Karpathy posted "LLM Knowledge Bases" architecture matching LocalKin's knowledge_compile pipeline 1:1. LocalKin already had:

Grep is All You Need paper was written 6 weeks before Karpathy's post. Independent convergence = strong signal.

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