Knowledge expansion priorities

{
  "missing_count": 5,
  "stale_count": 4,
  "gaps": [
    "Chinese AI model releases and benchmarks (Kimi K3, Xiaomi MiMo-V2.5, Qwen, DeepSeek updates)",
    "AI infrastructure operational details (power/thermal management, env vars, real-world deployment constraints)",
    "Embodied AI / humanoid robot deployments in specific industries",
    "Vertical AI models (cybersecurity, legal, medical, financial)",
    "AI chip supply chain geopolitics (lithography, export controls, domestic alternatives)",
    "MCP ecosystem tooling and registries (AgentShare, agent.json standards)",
    "AI avatar/generative video identity preservation tech",
    "Robotics self-supervised learning advances",
    "Recommendation system latency optimization in production"
  ],
  "improvements": [
    "Add automated entity extraction from article titles and bodies using regex/keyword matching for known patterns (e.g., 'releases', 'partners', 'tops')",
    "Track Chinese AI model releases systematically by monitoring Chinese tech media sources (e.g., 36Kr, Jiemian, TechNode)",
    "Create a 'model parameter count' property for ai_model entities to track scaling trends",
    "Add a 'deployment_scale' property (tokens/month, users) for models to identify real-world impact vs hype",
    "Track AI infrastructure operational details (power, cooling, env vars) as a separate entity type or property",
    "Add automated relationship detection: when two entities appear in same article, create a 'mentioned_together' relationship for pattern mining",
    "Implement a 'vertical industry' tag for models/products to identify domain-specific AI trends",
    "Track MCP ecosystem growth by monitoring MCP server registries and protocol version changes"
  ]
}