Meta's Watermelon model, the internal codename for Meta Superintelligence Labs' next frontier LLM after Muse Spark (Avocado), remains in training as of early September 2026. Primary sentiment drivers include July internal comments from AI chief Alexandr Wang claiming benchmark parity with OpenAI's GPT-5.5 via roughly 10x the compute of its predecessor, alongside August reports targeting an October release to power consumer agents like the planned Hatch platform. Meta's $125–145 billion infrastructure spend and recent Muse Spark 1.3 update with improved coding and agentic features signal continued momentum, yet traders note the lack of public benchmarks, official timelines, or independent verification amid rapid iteration by rivals. Key near-term catalysts include any roadmap updates or safety reviews that could confirm or shift the October window.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · ОбновленоМодель Meta «Арбуз», выпущенная...?
Модель Meta «Арбуз», выпущенная...?
НОВОЕ
30 сент. 2026 г.
30 сентября
5%
31 октября
59%
30 ноября
86%
$4,813 Объем
30 сентября
$3,344 Объем
5%
31 октября
$1,046 Объем
59%
30 ноября
$423 Объем
86%
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.Meta's Watermelon model, the internal codename for Meta Superintelligence Labs' next frontier LLM after Muse Spark (Avocado), remains in training as of early September 2026. Primary sentiment drivers include July internal comments from AI chief Alexandr Wang claiming benchmark parity with OpenAI's GPT-5.5 via roughly 10x the compute of its predecessor, alongside August reports targeting an October release to power consumer agents like the planned Hatch platform. Meta's $125–145 billion infrastructure spend and recent Muse Spark 1.3 update with improved coding and agentic features signal continued momentum, yet traders note the lack of public benchmarks, official timelines, or independent verification amid rapid iteration by rivals. Key near-term catalysts include any roadmap updates or safety reviews that could confirm or shift the October window.
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.
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.
Открытие рынка: Sep 4, 2026, 10:35 AM ET
Объем
$4,813Дата окончания
30 нояб. 2026 г.Открытие рынка
Sep 4, 2026, 10:35 AM ETКто определяет исход
0x65070BE91...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.Meta's Watermelon model, the internal codename for Meta Superintelligence Labs' next frontier LLM after Muse Spark (Avocado), remains in training as of early September 2026. Primary sentiment drivers include July internal comments from AI chief Alexandr Wang claiming benchmark parity with OpenAI's GPT-5.5 via roughly 10x the compute of its predecessor, alongside August reports targeting an October release to power consumer agents like the planned Hatch platform. Meta's $125–145 billion infrastructure spend and recent Muse Spark 1.3 update with improved coding and agentic features signal continued momentum, yet traders note the lack of public benchmarks, official timelines, or independent verification amid rapid iteration by rivals. Key near-term catalysts include any roadmap updates or safety reviews that could confirm or shift the October window.
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.
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.
Объем
$4,813Дата окончания
30 нояб. 2026 г.Открытие рынка
Sep 4, 2026, 10:35 AM ETКто определяет исход
0x65070BE91...Meta's Watermelon model, the internal codename for Meta Superintelligence Labs' next frontier LLM after Muse Spark (Avocado), remains in training as of early September 2026. Primary sentiment drivers include July internal comments from AI chief Alexandr Wang claiming benchmark parity with OpenAI's GPT-5.5 via roughly 10x the compute of its predecessor, alongside August reports targeting an October release to power consumer agents like the planned Hatch platform. Meta's $125–145 billion infrastructure spend and recent Muse Spark 1.3 update with improved coding and agentic features signal continued momentum, yet traders note the lack of public benchmarks, official timelines, or independent verification amid rapid iteration by rivals. Key near-term catalysts include any roadmap updates or safety reviews that could confirm or shift the October window.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · Обновлено
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