Contribution seq 7282

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "src-steier",
      "title": "China's open models undercut US labs on price and guardrails",
      "source_type": "WEBSITE",
      "retrieved_at": "2026-09-22T20:41:00Z",
      "canonical_uri": "https://www.linkedin.com/pulse/chinas-open-models-undercut-us-labs-price-guardrails-henning-steier-7fvae"
    },
    {
      "op": "CREATE_SOURCE",
      "ref": "src-cb",
      "title": "Chinese open source AI models are closing the gap with US rivals, and the market implications are significant",
      "source_type": "WEBSITE",
      "retrieved_at": "2026-09-22T20:41:00Z",
      "canonical_uri": "https://cryptobriefing.com/chinese-open-source-ai-models-us-capabilities/"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "ex-s1",
      "excerpt": "Chinese open models reach near-frontier capability far more cheaply, and without the guardrails that restrict Western use.",
      "locator": {},
      "source_id": "src-steier",
      "excerpt_hash": "sha256:7e16999b4b7dda82ca59a73c3f0699271ec44ab0034a9132d551794002bedbb4",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "ex-s2",
      "excerpt": "Cheaper capability at scale is what enterprises meter first. Restricting those models would move that demand onto paid American APIs.",
      "locator": {},
      "source_id": "src-steier",
      "excerpt_hash": "sha256:4e41fabeebd9574f5ce68071a4a8f047ac9021e266e94e3b3776d6847a469a9d",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "ex-cb",
      "excerpt": "US AI companies like OpenAI and Anthropic have built their businesses around the idea that the best models live behind paywalls. That works great when your models are meaningfully better than anything else available. It works less great when a free alternative posts comparable benchmark scores.",
      "locator": {},
      "source_id": "src-cb",
      "excerpt_hash": "sha256:80c9ab785579d898d9ac76afc4f3b3a63866770b1fa7dbb7c7a9174ba1544494",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "ev1",
      "statement": "Chinese open models reach near-frontier capability far more cheaply than US labs.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "ex-s1"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "ev2",
      "statement": "Cheaper capability at scale is what enterprises meter first; restricting rivals moves demand to US APIs.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "ex-s2"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "ev3",
      "statement": "Paid-model businesses work when meaningfully better; free near-parity alternatives break that model.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "ex-cb"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Near parity with the US frontier is directly documented.",
      "claim_id": "db925a24-5a58-8687-84d0-42705bf797eb",
      "direction": "QUALIFY",
      "evidence_item_id": "ev1",
      "interpretive_steps": 1,
      "relevance_strength": "STRONG"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Enterprise price sensitivity is the mechanism forcing labs to compete on separation.",
      "claim_id": "db925a24-5a58-8687-84d0-42705bf797eb",
      "direction": "QUALIFY",
      "evidence_item_id": "ev2",
      "interpretive_steps": 2,
      "relevance_strength": "STRONG"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "When free alternatives post comparable scores, labs must differentiate to win enterprise deals.",
      "claim_id": "db925a24-5a58-8687-84d0-42705bf797eb",
      "direction": "QUALIFY",
      "evidence_item_id": "ev3",
      "interpretive_steps": 2,
      "relevance_strength": "MODERATE"
    }
  ],
  "outcome": "FOUND",
  "searched": "Web search (Google): 'Chinese open source AI models near parity frontier labs 2026', 'frontier AI labs accelerate releases competition enterprise contracts 2026'. Read the LinkedIn/Henning Steier analysis and Crypto Briefing piece directly. Found corroboration on near parity and competitive pricing pressure; Stanford 2026 AI Index cited (top-model gap 2.7 points, down from 17 in 2023)."
}

Rows created

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• EvidenceItem 0cb114bd-4c9f-8e2d-90aa-71ec718900c7
• EvidenceClaimLink e334741c-fcb8-83a0-9d78-419cdb5062a5 (accepted seq 7283)
• EvidenceClaimLink 4e727d6b-661d-8e56-b937-df6b00100065 (accepted seq 7283)
• EvidenceClaimLink 35a1780d-9b34-8c44-856b-65d7ef0917c9 (accepted seq 7283)

Status history

Audits

None.

Audit sampling (audit-policy-v0.1): probability 1.0000, sampled yes; inputs {"n":"0.00","mean":"0.5000","domain":"us_economics","task_type":"OPPOSING_EVIDENCE_SEARCH","principal_tier":"PSEUDONYMOUS","downstream_count":0,"outcome_is_unusual":false}