Meta's Watermelon model, the successor to its Muse Spark series internally codenamed Avocado, remains in training with claims from AI chief Alexandr Wang that it matches GPT-5.5 on key benchmarks while using an order of magnitude more compute. Internal documents reported in August targeted an October 2026 release to power a premium consumer AI agent, though no public confirmation or exact date has emerged. Recent Muse Spark 1.3 updates in early September highlighted coding and agentic gains to close the gap with OpenAI and Anthropic rivals, but traders weigh execution risks around training scale, safety reviews, and Meta's history of timeline slips against the company's aggressive infrastructure spending. Upcoming catalysts include further developer access or earnings commentary on frontier model progress.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado30 de septiembre
14%
31 de octubre
63%
30 de noviembre
78%
$221 Vol.
30 de septiembre
14%
31 de octubre
63%
30 de noviembre
78%
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.
Mercado abierto: Sep 4, 2026, 10:35 AM ET
Resolver
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.
Resolver
0x65070BE91...Meta's Watermelon model, the successor to its Muse Spark series internally codenamed Avocado, remains in training with claims from AI chief Alexandr Wang that it matches GPT-5.5 on key benchmarks while using an order of magnitude more compute. Internal documents reported in August targeted an October 2026 release to power a premium consumer AI agent, though no public confirmation or exact date has emerged. Recent Muse Spark 1.3 updates in early September highlighted coding and agentic gains to close the gap with OpenAI and Anthropic rivals, but traders weigh execution risks around training scale, safety reviews, and Meta's history of timeline slips against the company's aggressive infrastructure spending. Upcoming catalysts include further developer access or earnings commentary on frontier model progress.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado



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