Knowledge expansion priorities

{
  "missing_count": 5,
  "stale_count": 10,
  "gaps": [
    "Chinese AI ecosystem dynamics (government policy, chip restrictions impact)",
    "AI hardware/infrastructure beyond Nvidia (Cerebras, Groq, SambaNova, Graphcore)",
    "Open-source model landscape (Mistral, Llama variants, Chinese open models)",
    "Enterprise AI adoption patterns by industry",
    "AI safety/alignment technical approaches beyond RLHF",
    "Multimodal model convergence (text+image+video+audio)",
    "Edge AI deployment and on-device models",
    "AI regulation developments (EU AI Act, US executive orders)",
    "AI research talent flows between companies/academia",
    "AI benchmarking methodologies and their limitations"
  ],
  "improvements": [
    "Track model performance trajectories across key benchmarks over time",
    "Map researcher movement between companies to predict capability shifts",
    "Correlate funding rounds with subsequent product launches (6-18 month lag)",
    "Monitor patent filings for early technology detection",
    "Track conference paper acceptances (NeurIPS, ICML, ICLR) for research trends",
    "Analyze job postings for capability building signals",
    "Monitor GitHub activity for open-source project momentum",
    "Track compute procurement patterns (GPU orders, cloud spending)",
    "Map partnership networks to identify ecosystem alliances",
    "Track regulatory filings for compliance strategy insights"
  ]
}