Meta's Watermelon model, the successor to its April 2026 Muse Spark release, remains in training with no public launch date confirmed as of early September. Chief AI officer Alexandr Wang stated in a July town hall that the frontier-scale model had matched OpenAI's GPT-5.5 on internal benchmarks while using roughly 10x the compute of its predecessor, though specific evaluations were unnamed and unverified externally. An August report citing internal documents pointed to an October target for the model or a related consumer AI agent, while a September update noted the project is "on track" for competitiveness. Meta's heavy infrastructure spending and competitive pressure from OpenAI and Anthropic continue to shape expectations around timing and capability thresholds.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour30 septembre
12%
31 octobre
59%
30 novembre
79%
$1,952 Vol.
30 septembre
12%
31 octobre
59%
30 novembre
79%
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.
Marché ouvert : Sep 4, 2026, 10:35 AM ET
Résolveur
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.
Résolveur
0x65070BE91...Meta's Watermelon model, the successor to its April 2026 Muse Spark release, remains in training with no public launch date confirmed as of early September. Chief AI officer Alexandr Wang stated in a July town hall that the frontier-scale model had matched OpenAI's GPT-5.5 on internal benchmarks while using roughly 10x the compute of its predecessor, though specific evaluations were unnamed and unverified externally. An August report citing internal documents pointed to an October target for the model or a related consumer AI agent, while a September update noted the project is "on track" for competitiveness. Meta's heavy infrastructure spending and competitive pressure from OpenAI and Anthropic continue to shape expectations around timing and capability thresholds.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour



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