{
  "title": "AI agents and robotics in the 2022 report",
  "report_year": 2022,
  "period": "Historical snapshot: October 2022. Dates and populations are specified per row.",
  "methodology": "Video hours are training inputs, not successful task hours. SayCan’s rates concern its tested instructions, skills, and environment; they are not general-purpose robotics reliability.",
  "source_deck": "https://docs.google.com/presentation/d/1WrkeJ9-CjuotTXoa4ZZlB3UPBXpxe4B3FMs9R9tn34I/edit?usp=sharing",
  "web_edition_date": "2026-10-11",
  "rows": [
    {
      "measure": "VPT action-labeled video",
      "value": "2,000 hours",
      "definition": "Initial video with mouse and keyboard labels.",
      "printed_slide": 21,
      "pdf_page": 21,
      "source_url": "https://www.stateof.ai/State-of-AI-Report-2022.pdf#page=21"
    },
    {
      "measure": "VPT additional video",
      "value": "70,000 hours",
      "definition": "Video labeled using the learned inverse-dynamics model.",
      "printed_slide": 21,
      "pdf_page": 21,
      "source_url": "https://www.stateof.ai/State-of-AI-Report-2022.pdf#page=21"
    },
    {
      "measure": "SayCan execution success",
      "value": "74%",
      "definition": "Reported evaluation across 101 instructions, with 84% planning success.",
      "printed_slide": 37,
      "pdf_page": 37,
      "source_url": "https://www.stateof.ai/State-of-AI-Report-2022.pdf#page=37"
    }
  ]
}