{
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  "dek": "The US-China race for artificial intelligence dominance has entered a new phase: using AI to build better AI. Leading AI companies in the United States and China are increasingly focused on deploying advanced models to write code, design experiments, and develop training techniques that can be used to improve more powe",
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      "source_name": "South China Morning Post — China Tech",
      "title": "The US and China are racing to build ‘self-improving AI’. Here’s what’s at stake",
      "url": "https://www.scmp.com/tech/big-tech/article/3367237/us-and-china-are-racing-build-self-improving-ai-heres-whats-stake",
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  "lead_reason": "Current single-source metadata is retained but not promoted as a lead.",
  "limitations": [
    "Palimpsest retained only feed title, canonical link, time, and a bounded plain-text excerpt; it did not fetch the article body.",
    "The evidence-strength label describes source structure, not truth, intent, impact, or causation.",
    "Declared instrument links are topical pointers until a separate scan or economic observation is joined by time and method.",
    "Title-similarity clustering can miss differently worded or cross-language accounts and can join closely worded updates.",
    "This dossier currently contains one independent evidence group and remains explicitly attributed."
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  "reported_facts": [
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      "attribution": "South China Morning Post — China Tech",
      "evidence_item_id": "item-ab9a63c5f1ff999ccef0efa9",
      "published_at": "2026-09-13T00:00:10Z",
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  "updated_at": "2026-09-13T00:00:10Z",
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}