Meta's Watermelon model, the successor to its April 2026 Muse Spark release (internally codenamed Avocado), remains in training with claims of matching OpenAI's GPT-5.5 on internal benchmarks while using roughly 10 times the compute. Chief AI officer Alexandr Wang highlighted this progress in a July town hall and teased a near-term Muse Spark update for stronger coding and agentic features. Internal documents point to an October 2026 target, though no public confirmation exists. On September 3, Meta rolled out Muse Spark 1.3 with notable gains in those areas, positioning it competitively against Anthropic and OpenAI models. Traders are watching for verified external benchmarks, infrastructure scaling, and any slippage in the aggressive timeline amid Meta's multibillion-dollar AI investments.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · ОновленоMeta's "Watermelon" model released by...?
September 30
14%
October 31
63%
November 30
78%
$221 Обс.
September 30
14%
October 31
63%
November 30
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.
Ринок відкрито: Sep 4, 2026, 10:35 AM ET
Вирішувач
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.
Вирішувач
0x65070BE91...Meta's Watermelon model, the successor to its April 2026 Muse Spark release (internally codenamed Avocado), remains in training with claims of matching OpenAI's GPT-5.5 on internal benchmarks while using roughly 10 times the compute. Chief AI officer Alexandr Wang highlighted this progress in a July town hall and teased a near-term Muse Spark update for stronger coding and agentic features. Internal documents point to an October 2026 target, though no public confirmation exists. On September 3, Meta rolled out Muse Spark 1.3 with notable gains in those areas, positioning it competitively against Anthropic and OpenAI models. Traders are watching for verified external benchmarks, infrastructure scaling, and any slippage in the aggressive timeline amid Meta's multibillion-dollar AI investments.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · Оновлено



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