Meta's internal codename Watermelon refers to the next frontier-scale large language model following Muse Spark (previously Avocado), now in training with roughly 10x the compute. Chief AI officer Alexandr Wang reported in a July 2026 town hall that it had reached parity with OpenAI's GPT-5.5 on internal benchmarks, though those results remain unverified externally. Trader sentiment centers on CEO Mark Zuckerberg's September 2 public tease of "next up 🍉" alongside Muse Spark open-weight releases, paired with September reporting that internal documents target an October launch window. Key swing factors include confirmation of release timing, any demonstrated capabilities versus marketing claims, and Meta's $125–145 billion infrastructure spend accelerating the schedule. An October rollout would mark the fastest cadence yet for a Meta frontier model.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-updateMeta's "Watermelon" model released by...?
Meta's "Watermelon" model released by...?
$47,332 Vol.
Nov 30, 2026
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$47,332 Vol.
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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-scale large language model following Muse Spark (previously Avocado), now in training with roughly 10x the compute. Chief AI officer Alexandr Wang reported in a July 2026 town hall that it had reached parity with OpenAI's GPT-5.5 on internal benchmarks, though those results remain unverified externally. Trader sentiment centers on CEO Mark Zuckerberg's September 2 public tease of "next up 🍉" alongside Muse Spark open-weight releases, paired with September reporting that internal documents target an October launch window. Key swing factors include confirmation of release timing, any demonstrated capabilities versus marketing claims, and Meta's $125–145 billion infrastructure spend accelerating the schedule. An October rollout would mark the fastest cadence yet for a Meta frontier model.
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.
Binuksan ang Market: Sep 4, 2026, 10:35 AM ET
Volume
$47,332Petsa ng Pagtatapos
Nov 30, 2026Binuksan ang Market
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-scale large language model following Muse Spark (previously Avocado), now in training with roughly 10x the compute. Chief AI officer Alexandr Wang reported in a July 2026 town hall that it had reached parity with OpenAI's GPT-5.5 on internal benchmarks, though those results remain unverified externally. Trader sentiment centers on CEO Mark Zuckerberg's September 2 public tease of "next up 🍉" alongside Muse Spark open-weight releases, paired with September reporting that internal documents target an October launch window. Key swing factors include confirmation of release timing, any demonstrated capabilities versus marketing claims, and Meta's $125–145 billion infrastructure spend accelerating the schedule. An October rollout would mark the fastest cadence yet for a Meta frontier model.
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
$47,332Petsa ng Pagtatapos
Nov 30, 2026Binuksan ang Market
Sep 4, 2026, 10:35 AM ETResolver
0x65070BE91...Meta's internal codename Watermelon refers to the next frontier-scale large language model following Muse Spark (previously Avocado), now in training with roughly 10x the compute. Chief AI officer Alexandr Wang reported in a July 2026 town hall that it had reached parity with OpenAI's GPT-5.5 on internal benchmarks, though those results remain unverified externally. Trader sentiment centers on CEO Mark Zuckerberg's September 2 public tease of "next up 🍉" alongside Muse Spark open-weight releases, paired with September reporting that internal documents target an October launch window. Key swing factors include confirmation of release timing, any demonstrated capabilities versus marketing claims, and Meta's $125–145 billion infrastructure spend accelerating the schedule. An October rollout would mark the fastest cadence yet for a Meta frontier model.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-update
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