Meta's internal codename Watermelon refers to the next frontier large language model after Muse Spark (codename Avocado), released in April 2026. August reporting from The Information, based on internal documents, identified an October 2026 target for the model, which could power the consumer-facing Hatch AI agent and feature advanced tool-use capabilities. July town-hall comments from Meta Superintelligence Labs chief Alexandr Wang noted the model had reached parity with OpenAI's GPT-5.5 on unspecified internal benchmarks while using roughly 10x the compute of its predecessor, amid Meta's $125–145 billion infrastructure spend. As of early September the model remained in training with no public release or external benchmark verification, leaving traders focused on whether the October window holds or slips amid rapid iteration cycles at rival labs.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · AtualizadoO modelo "Melancia" da Meta lançado por...?
O modelo "Melancia" da Meta lançado por...?
$12,855 Vol.
30 set 2026
30 de setembro
5%
31 de outubro
74%
30 de novembro
94%
$12,855 Vol.
30 de setembro
$3,460 Vol.
5%
31 de outubro
$6,507 Vol.
74%
30 de novembro
$2,887 Vol.
94%
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 internal codename Watermelon refers to the next frontier large language model after Muse Spark (codename Avocado), released in April 2026. August reporting from The Information, based on internal documents, identified an October 2026 target for the model, which could power the consumer-facing Hatch AI agent and feature advanced tool-use capabilities. July town-hall comments from Meta Superintelligence Labs chief Alexandr Wang noted the model had reached parity with OpenAI's GPT-5.5 on unspecified internal benchmarks while using roughly 10x the compute of its predecessor, amid Meta's $125–145 billion infrastructure spend. As of early September the model remained in training with no public release or external benchmark verification, leaving traders focused on whether the October window holds or slips amid rapid iteration cycles at rival labs.
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.
Mercado Aberto: Sep 4, 2026, 10:35 AM ET
Volume
$12,855Data de Término
30 nov 2026Mercado Aberto
Sep 4, 2026, 10:35 AM ETResolver
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 internal codename Watermelon refers to the next frontier large language model after Muse Spark (codename Avocado), released in April 2026. August reporting from The Information, based on internal documents, identified an October 2026 target for the model, which could power the consumer-facing Hatch AI agent and feature advanced tool-use capabilities. July town-hall comments from Meta Superintelligence Labs chief Alexandr Wang noted the model had reached parity with OpenAI's GPT-5.5 on unspecified internal benchmarks while using roughly 10x the compute of its predecessor, amid Meta's $125–145 billion infrastructure spend. As of early September the model remained in training with no public release or external benchmark verification, leaving traders focused on whether the October window holds or slips amid rapid iteration cycles at rival labs.
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.
Volume
$12,855Data de Término
30 nov 2026Mercado Aberto
Sep 4, 2026, 10:35 AM ETResolver
0x65070BE91...Meta's internal codename Watermelon refers to the next frontier large language model after Muse Spark (codename Avocado), released in April 2026. August reporting from The Information, based on internal documents, identified an October 2026 target for the model, which could power the consumer-facing Hatch AI agent and feature advanced tool-use capabilities. July town-hall comments from Meta Superintelligence Labs chief Alexandr Wang noted the model had reached parity with OpenAI's GPT-5.5 on unspecified internal benchmarks while using roughly 10x the compute of its predecessor, amid Meta's $125–145 billion infrastructure spend. As of early September the model remained in training with no public release or external benchmark verification, leaving traders focused on whether the October window holds or slips amid rapid iteration cycles at rival labs.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · Atualizado
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