Meta's "Watermelon" model released by...?

According to the latest prediction market data for the query “Meta's "Watermelon" model released by...?”, traders have formed a strong consensus.

Currently, November 30 is dominating the market with an overwhelming 90.5% chance of winning. October 31 follows in second place at 66%, while October 15 sits in third with 55.5%. The betting volume for this specific market has already reached $74.5K, reflecting intense industry interest.

To better assess where each potential outcome stands, the market can be segmented into three distinct trading tiers based on implied probability and contract pricing:

🥇 Tier 1: The Dominant Leader

• November 30 (90.5%): Currently commanding the highest probability, November 30 is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 91¢, signaling a high degree of market conviction. This contract alone has generated $11.7K in volume.

🥈 Tier 2: The Primary Challengers

• October 31 (66%): Positioned as the most viable alternative, October 31 maintains a 66% chance of resolving true. Its “Buy Yes” shares currently trade at 66¢.
• October 15 (55.5%): Sitting in third place with a 55.5% probability, the market shows measured skepticism toward October 15, treating it as an outside wildcard unless momentum shifts.

On September 2, 2026, alongside the launch of Muse Spark 1.3, Meta announced a roadmap "including bigger models" (https://research.meta.ai/blog/introducing-muse-spark-1-3). Credible reporting has identified Meta's next-generation frontier model by the internal codename "Watermelon."

This market will resolve to "Yes" if Meta releases "Watermelon" or a model confirmed to be the model referenced above, and that model is made available to the general public by the listed date (ET). Otherwise, this market will resolve to "No".

A qualifying model must be named "Watermelon" or be identified, by Meta or by a consensus of credible reporting, as the model internally codenamed "Watermelon," regardless of the name under which it is ultimately released.

A qualifying model must be 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 either be clearly defined and publicly announced by Meta as accessible to the general public, or otherwise be made publicly accessible and explicitly labeled on the company's official website. Labeling errors, placeholder text, or version names displayed on the website that do not correspond to a model that is actually accessible to the general public will not qualify.

The primary resolution source for this market will be official information from Meta, with additional verification from a consensus of credible reporting.

While human consensus and speculative volume shape the broader prediction market, our quantitative algorithms offer a data-driven counter-perspective. By analyzing fundamental signals, underlying trends and historical distributions, our AI Valuation model calculates an independent “Fair Value” probability for each outcome.

Comparing this Fair Value against the current Trade Value uncovers major disparities — known as the Expected Value (EV) Gap. Contracts with a positive EV Gap represent statistically underpriced outcomes, whereas a negative EV Gap flags a potential market overreaction.

Top AI Alpha & Mispriced Arbitrage Opportunities

Based on the latest data model run, several key contracts stand out with significant deviations:

• The Most Overvalued Outcome November 30 currently trades at 90.5%, but our AI places its Fair Value at just 87%. This creates a large negative EV Gap of -3.5%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies October 31 as the premium value opportunity on the board. While the market only assigns it a 66% trading probability, our AI’s Fair Value assessment sits at 71.4% — yielding an impressive +5.4% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include October 15 (EV Gap: +3%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.