Will xAI release a dLLM by June 30?
Probability
5¢
1h
+0.0pp
24h
-0.3pp
24h Vol
$0.00
Liquidity
$2.6K
Probability (last 7 days)
-1.1pp 7dWhy did it move?
Structured · 1 factor- 1
Thin liquidity
Only $2.6k of visible book — small orders can move the line. Treat the probability as a soft estimate.
What to track next
- Set an alert at the next ±5pp probability move so you find out before the next leg.
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Verification actions only — never trade recommendations.
Each factor is grounded in a single named metric you can verify on this page — probability, volume, liquidity, signal, resolution state. No predictions, no prose hallucinations.
Timeline
critical · price · trade flowCritical
- 0s agoResolveLOW
Market resolves in 1563.1h
Price movement
-0.4pp over the last 24h, now 5¢.
Recent Trades
No recent trades visible from the Data API for this market.
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Market Description
This market will resolve to "Yes" if, before June 30, 2026, 11:59 PM ET, xAI releases a Diffusion Large Language Model (dLLM). Otherwise, this market will resolve to "No". Any xAI dLMM will be considered to be released if it is launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must be clearly defined and publicly announced by xAI as being accessible to the general public. A Diffusion Large Language Model (dLLM) is any model for which official publicly released documentation, such as a model card, technical paper, or official statements from its developers, clearly identifies diffusion or iterative denoising as a central part of its text-generation or decoding process. The primary resolution source for this market will be official information from xAI, with additional verification from a consensus of credible reporting.
Resolution & Risk
LOW risk- End date
- Jun 30, 2026
- UMA status
- n/a
- Resolution source
- Primaryconsensus of credible reportingTypeNews consensusConfidenceextracted · medium
- Market type
- Binary
- No obvious resolution-risk signals in metadata.
Alerts
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