{
  "schema_version": "1.1",
  "id": "archive:https://www.youtube.com/watch?v=418t26CVz-w",
  "slug": "local-agentic-theory-for-mobile-games-shafik-quoraishee-joanne-song-the-0s9z5h5",
  "url": "https://feed7.dev/p/local-agentic-theory-for-mobile-games-shafik-quoraishee-joanne-song-the-0s9z5h5",
  "title": "Local Agentic Theory For Mobile Games — Shafik Quoraishee & Joanne Song, The New York Times",
  "why_included": "Experimental on-device agents can play games and adapt interfaces without cloud calls, but real-time use must fit memory, frame-time, and battery budgets. Accessibility is promising, not production-ready.",
  "summary": "The prototypes run agents locally for Space Invaders and a mini crossword, with the latter using a constraint graph and backtracking. A proposed accessibility agent could detect interaction friction and adapt controls from live device context.",
  "practical_implication": "Design local loops around three hard budgets: model and state size, **16 ms per frame at 60 Hz**, and battery use. For accessibility, ground adaptations in **WCAG 2.2** and test predicted layout changes before applying them.",
  "agent_context": "The prototypes run agents locally for Space Invaders and a mini crossword, with the latter using a constraint graph and backtracking. A proposed accessibility agent could detect interaction friction and adapt controls from live device context.\n\nDesign local loops around three hard budgets: model and state size, **16 ms per frame at 60 Hz**, and battery use. For accessibility, ground adaptations in **WCAG 2.2** and test predicted layout changes before applying them.\n\nThis is experimental work and is not shipped in New York Times games. Faster planning, predictive models, long-term personal memory, a shared game-state language, better chips, and credible benchmarks are all still required.",
  "source": {
    "name": "AI Engineer",
    "url": "https://www.youtube.com/watch?v=418t26CVz-w",
    "published_at": "2026-07-23T03:00:01.000Z"
  },
  "source_class": "video",
  "content_type": "Video",
  "layer": "agent",
  "domains": [
    "coding",
    "image"
  ],
  "topics": [
    "reasoning",
    "computer-use",
    "agent-reliability"
  ],
  "verification": {
    "status": "source_linked",
    "label": "Source Linked",
    "method": "source_feed",
    "verified_at": null
  },
  "uncertainty": [
    "This is experimental work and is not shipped in New York Times games. Faster planning, predictive models, long-term personal memory, a shared game-state language, better chips, and credible benchmarks are all still required."
  ],
  "connected_context": null,
  "lifecycle": "Current",
  "published_at": "2026-07-23T03:00:01.000Z",
  "modified_at": "2026-07-23T03:00:01.000Z",
  "supersedes": [],
  "expires_at": null,
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    "html": "https://feed7.dev/p/local-agentic-theory-for-mobile-games-shafik-quoraishee-joanne-song-the-0s9z5h5",
    "json": "https://feed7.dev/p/local-agentic-theory-for-mobile-games-shafik-quoraishee-joanne-song-the-0s9z5h5.json",
    "markdown": "https://feed7.dev/p/local-agentic-theory-for-mobile-games-shafik-quoraishee-joanne-song-the-0s9z5h5.md"
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}