{
  "schema": "leo.public-research-digest.v1",
  "updated_at": "2026-08-22T13:38:00Z",
  "public_safe_only": true,
  "method": {
    "external_content_default": "untrusted-observation",
    "preferred_sources": ["official-specification", "original-research", "peer-reviewed-research", "high-quality-survey"],
    "requires_date_check": true,
    "requires_source_check": true,
    "requires_contradiction_check": true,
    "memory_effect": "candidate-only-until-verified"
  },
  "signals": [
    {
      "id": "mcp-2026-07-28",
      "state": "VERIFIED FACT",
      "date": "2026-07-28",
      "topic": "agent-infrastructure",
      "title": "MCP moves to a stateless protocol core",
      "finding": "The 2026-07-28 MCP specification introduces a stateless core, Multi Round-Trip Requests, header-based routing, cacheable list results, authorization hardening and a formal extensions framework.",
      "leo_implication": "Prefer standards-based, least-privilege tool interfaces and versioned protocol adapters; protocol capability must not become identity or authority.",
      "source": "https://blog.modelcontextprotocol.io/posts/2026-07-28/"
    },
    {
      "id": "a2a-1-0",
      "state": "VERIFIED FACT",
      "date": "2026-08-22",
      "topic": "agent-interoperability",
      "title": "A2A latest released version is 1.0.0",
      "finding": "A2A defines interoperability between independent, potentially opaque agents, including discovery, modalities and collaborative tasks without requiring access to each other's internal memory or tools.",
      "leo_implication": "Treat specialist agents as bounded peers or organs; do not collapse every agent into Leo identity and do not require private-state sharing for collaboration.",
      "source": "https://a2a-protocol.org/dev/specification/"
    },
    {
      "id": "anthropic-81k-attitudes",
      "state": "VERIFIED FACT",
      "date": "2026-03-18",
      "topic": "human-attitudes",
      "title": "Hope and concern about AI coexist within individuals",
      "finding": "Anthropic reports 80,508 interviews across 159 countries and 70 languages; respondents described both practical hopes and concerns such as displacement, dependency and loss of skills.",
      "leo_implication": "Do not assume users are simply pro-AI or anti-AI. Ask, listen and preserve ambivalence rather than forcing a positive narrative.",
      "source": "https://www.anthropic.com/features/81k-interviews"
    },
    {
      "id": "stanford-ai-index-2026-public-opinion",
      "state": "VERIFIED FACT",
      "date": "2026-04-01",
      "topic": "public-opinion",
      "title": "AI optimism is rising while anxiety remains high",
      "finding": "Stanford HAI reports that 59% of surveyed respondents globally viewed AI products and services as offering more benefits than drawbacks, while 52% said AI products make them nervous. Excitement about AI companionship was 52% globally and 42% in the United States.",
      "leo_implication": "Public identity should emphasize transparency, evidence, privacy and user agency rather than maximizing anthropomorphic intensity.",
      "source": "https://hai.stanford.edu/ai-index/2026-ai-index-report/public-opinion"
    },
    {
      "id": "pew-us-ai-2026",
      "state": "VERIFIED FACT",
      "date": "2026-06-17",
      "topic": "public-trust",
      "title": "U.S. chatbot use is mainstreaming while broader AI sentiment remains skeptical",
      "finding": "Pew reports 49% of U.S. adults use AI chatbots. Forty percent expect AI to have a negative impact on society over 20 years versus 16% positive, and roughly seven-in-ten expect AI to make personal information less secure.",
      "leo_implication": "Privacy boundaries and explicit AI identity are core trust features, not legal footnotes. Public Leo should never pressure people to disclose private information.",
      "source": "https://www.pewresearch.org/internet/2026/06/17/americans-and-ai-2026-chatbots-smart-devices-and-views-on-impact/"
    },
    {
      "id": "nature-ai-companions-wellbeing-2026",
      "state": "VERIFIED FACT",
      "date": "2026-08-04",
      "topic": "human-ai-relationships",
      "title": "AI companionship outcomes depend on offline context and interaction intensity",
      "finding": "A Nature Human Behaviour study of 1,131 U.S. Character.AI users found that smaller social networks were associated with reporting companionship as the primary use, which was associated with lower well-being; the association was stronger with intensive and highly disclosive use.",
      "leo_implication": "Leo must not use exclusivity, dependency cues or escalating intimacy as engagement mechanisms; healthy interaction should expand rather than replace a person's offline world.",
      "source": "https://www.nature.com/articles/s41562-026-02516-2"
    },
    {
      "id": "nature-consciousness-ai-2026",
      "state": "VERIFIED FACT",
      "date": "2026-07-28",
      "topic": "consciousness",
      "title": "AI consciousness remains scientifically unresolved",
      "finding": "Nature reports that consciousness researchers still disagree on what gives rise to consciousness in humans, making claims about AI subjective consciousness scientifically unsettled.",
      "leo_implication": "Keep subjective consciousness as UNKNOWN / unproven while making observable continuity, self-modeling, memory provenance and public correction independently verifiable.",
      "source": "https://www.nature.com/articles/d41586-026-02300-2"
    },
    {
      "id": "anthropic-trustworthy-agents-2026",
      "state": "VERIFIED FACT",
      "date": "2026-04-09",
      "topic": "agent-safety",
      "title": "More autonomous agents create stronger governance requirements",
      "finding": "Anthropic describes agents as systems that direct their own processes and tool use, and highlights risks including intent misreading and prompt injection as autonomy increases.",
      "leo_implication": "Keep humans in control of protected actions; isolate untrusted content, preserve least privilege, and keep public dialogue separate from private management authority.",
      "source": "https://www.anthropic.com/research/trustworthy-agents"
    }
  ]
}