{
  "video_id": "ii89_SqKB08",
  "channel": "sebastianraschka",
  "title": "Managing Sources of Randomness When Training Deep Neural Networks",
  "scores": {
    "depth": 2,
    "novelty": 1,
    "aria_relevance": 1,
    "production_ready": 2
  },
  "avg_score": 1.5,
  "verdict": "summary_only",
  "one_line_reason": "Solid practical guide to reproducibility in DL training (seeds, dropout, determinism), but covers well-known best-practices without novel insights; minimal relevance to Aria's multi-agent/eval/memory/distribution concerns.",
  "model": "claude-haiku-4-5-20251001",
  "cost_usd": 0.004766,
  "triaged_at": "2026-05-15T09:05:48.609736+00:00"
}