Knowledge expansion priorities

{
  "missing_count": 5,
  "stale_count": 9,
  "gaps": [
    "AI hardware supply chain geopolitics (memory chips, export controls, Chinese alternatives)",
    "Embodied AI and robotics convergence with LLMs",
    "AI inference architecture innovations (disaggregation, KV cache optimization)",
    "Production AI reliability engineering (waterfall patterns, failover strategies)",
    "Educational AI applications and knowledge graphs",
    "AI security vulnerabilities and defense mechanisms (prompt injection, command injection)",
    "Enterprise AI pricing wars and tiered model offerings",
    "Korean AI ecosystem (Naver, SK Group, Samsung AI investments)"
  ],
  "improvements": [
    "Track benchmark rankings dynamically (DeepSWE, SWE-bench) to detect model capability shifts",
    "Monitor supply chain relationships between chipmakers (Nvidia, AMD, Cerebras) and memory manufacturers (SK Hynix, Micron, Samsung)",
    "Add entity relationship tracking for 'invested_in' between infrastructure companies and regional AI hubs",
    "Create automated alerts when a technology term appears in >3 articles/week (e.g., 'gigawatt scale')",
    "Track prompt injection and AI security incidents as a separate research topic with severity scoring",
    "Monitor Chinese AI ecosystem separately with dedicated entity types for government-backed initiatives",
    "Add inference cost per token tracking as a metric for model comparisons",
    "Track model architecture innovations (disaggregated inference, KV cache offload) as distinct technology entities with adoption curves"
  ]
}