Meta's internal codename for its next frontier large language model after Muse Spark, Watermelon remains in training but has drawn trader attention from an August internal report targeting an October 2026 public release to power the upcoming Hatch AI agent platform. In early July, Meta Superintelligence Labs chief Alexandr Wang told employees the model had reached parity with OpenAI's GPT-5.5 on unspecified internal benchmarks through roughly 10x the compute of its predecessor, a claim unverified externally. Mark Zuckerberg publicly teased the 🍉 model on September 2 alongside Muse Spark 1.3, and Wang followed up confirming the timeline was on track. Key near-term catalysts include any official announcement, independent benchmarks, or slippage past the reported October window amid Meta's heavy infrastructure spending.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日$24,903 Vol.
9月30日
4%
10月31日
63%
11月30日
75%
$24,903 Vol.
9月30日
4%
10月31日
63%
11月30日
75%
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.
マーケット開始日: Sep 4, 2026, 10:35 AM ET
リゾルバー
0x65070BE91...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.
リゾルバー
0x65070BE91...Meta's internal codename for its next frontier large language model after Muse Spark, Watermelon remains in training but has drawn trader attention from an August internal report targeting an October 2026 public release to power the upcoming Hatch AI agent platform. In early July, Meta Superintelligence Labs chief Alexandr Wang told employees the model had reached parity with OpenAI's GPT-5.5 on unspecified internal benchmarks through roughly 10x the compute of its predecessor, a claim unverified externally. Mark Zuckerberg publicly teased the 🍉 model on September 2 alongside Muse Spark 1.3, and Wang followed up confirming the timeline was on track. Key near-term catalysts include any official announcement, independent benchmarks, or slippage past the reported October window amid Meta's heavy infrastructure spending.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日



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