Will a Chinese AI model become #1 by June 30? [ resolved 2026-06-30 ]
Will a Chinese AI model become #1 by June 30?
polymarket: [B] single source·objective outcome methodology ›
markets · by resolution date · marks: daily snapshot
polymarket 1 market
| market | resolves | P(YES) | vol (24h) | vol (cum) | RCG | venue id | ||
|---|---|---|---|---|---|---|---|---|
| Will a Chinese AI model become #1 by June 30 | 2026-06-30 | 0.0% | $26 | $289K | B | 0xfd9818…fa5d |
resolution architecture
| venue | proposer | source | citation | arbitration | class | analyst notes |
|---|---|---|---|---|---|---|
| polymarket | Whitelisted Proposers | not provided | not provided | Optimistic Oracle (UMA) | Other | — |
verbatim rules
polymarket
This market will resolve to "Yes" if any model owned by a Chinese company has the highest arena score on the Chatbot Arena LLM Leaderboard (https://lmarena.ai/) by June 30, 2026, at 11:59 PM ET. Otherwise, this market will resolve to "No."
If a Chinese AI model ties for #1 Arena score, it will suffice to resolve this market to "Yes."
The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. If this resolution source becomes unavailable, the market will remain open until it is accessible again. If it becomes permanently unavailable, resolution will be based on another credible source.
platform source field
polymarket.resolutionSource → ∅ none returned sources (2) · single authority
- lmarena.ai venue-listed
- Chatbot Arena LLM Leaderboard source of record from rules text · editorial
resolution history
| outcome | market | venue | resolved | final price |
|---|---|---|---|---|
| NO | Will a Chinese AI model become #1 by June 30? | polymarket | 2026-06-30 | 0% |
Derived from the platform price + resolution-date snapshot (1 resolved market). PENDING upgrades to a final outcome on the next refresh.
recent wire items
monitoring status: active no active wire
No CM Signal wire has been published for this event yet.
CM Signal’s news-cycle scan surfaces the day’s top stories alongside the prediction markets pricing them. When a story references this event, its wire is published here and links back to this page.
programmatic access · four surfaces, same payload
One canonical record at every surface — embedded JSON-LD, REST, MCP, and /llms.txt.
| HTML | browsers, AI grounded search, crawlers (embedded JSON-LD @type: Dataset) | https://clearmarket.fyi/events/will-a-chinese-ai-model-become-1-by-june-30/ |
| JSON | REST API for developers | https://api.clearmarket.fyi/v1/events/will-a-chinese-ai-model-become-1-by-june-30 |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_event("will-a-chinese-ai-model-become-1-by-june-30") |
| AGENT | AI crawler discovery index | /llms.txt |
Snapshot 2026-07-06. Venue data via Kalshi + Polymarket APIs. Editorial fields (tags, editorial_notes) are ClearMarket-drafted with AI assistance under editorial review. Derived fields (venues_covered, resolution_clarity_grade, rcg_score) computed at serve time. Full per-field map in the JSON record under field_provenance.
raw JSON record · same payload returned by REST endpoint {
"event_id": "CM-EVT-9WN8JH9RR0",
"slug": "will-a-chinese-ai-model-become-1-by-june-30",
"question": "Will a Chinese AI model become #1 by June 30?",
"category": "technology",
"tags": [
"technology",
"geopolitics",
"ai-ranking",
"chinese-tech",
"business",
"2026-resolution"
],
"venues_covered": [
"polymarket"
],
"market_count": 1,
"cumulative_volume_usd": 288952,
"resolution_clarity_grade": "B",
"rcg_score": 65,
"rcg_caps": [],
"resolution_source": null,
"resolution_source_url": "https://lmarena.ai/",
"source_status": "platform_named",
"source_of_record": "Chatbot Arena LLM Leaderboard",
"resolution_source_list": [
{
"name": "lmarena.ai",
"url": "https://lmarena.ai/",
"provenance": "platform_api"
},
{
"name": "Chatbot Arena LLM Leaderboard",
"url": null,
"provenance": "clearmarket_editorial"
}
],
"arbitration_model": "uma_oracle",
"proposer_model": "managed_whitelist",
"field_provenance": {
"question": {
"source": "clearmarket_editorial"
},
"tags": {
"source": "clearmarket_editorial",
"ai_drafted": true
},
"resolution_clarity_grade": {
"source": "derived",
"method": "rcg_v2_7factor"
},
"venues_covered": {
"source": "derived"
}
}
}