OpenSquared 929283045f fix: score differentiation + auto Super Contexte synthesis
- ai_analyzer: add explicit calibration rules to SYSTEM_SCORER and batch
  prompt so GPT-4o produces a spread of scores rather than defaulting
  to 50 for all patterns (0-news patterns capped at 35, contra patterns
  at 40, high-signal patterns can reach 70-85)
- auto_cycle: add _auto_synthesize_knowledge() called after each auto
  portfolio snapshot; skips if last synthesis < 6h old to avoid
  redundant GPT-4o calls — Super Contexte now updates automatically
  every cycle without manual intervention

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-16 20:43:48 +02:00
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