Meta’s internal documents and statements from Chief AI Officer Alexandr Wang position the Watermelon model as the next major step after Muse Spark, targeting an October 2026 release while still in training. Wang reported in July that Watermelon already matches OpenAI’s GPT-5.5 on internal benchmarks thanks to roughly 10x more compute than its predecessor, with further gains expected in coding and agentic capabilities. As of early September, Wang described the project as “on track” and “very competitive” following the Muse Spark 1.3 update, though no public launch or third-party benchmarks have been confirmed. Traders are watching Meta’s aggressive infrastructure spend and competitive pressure from OpenAI and Anthropic for any slippage or acceleration signals ahead of the planned window.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गया30 सितंबर
14%
31 अक्टूबर
62%
30 नवंबर
75%
$60 वॉल्यूम
30 सितंबर
14%
31 अक्टूबर
62%
30 नवंबर
75%
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.
बाज़ार खुला: Sep 4, 2026, 10:35 AM ET
रिज़ॉल्वर
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.
रिज़ॉल्वर
0x65070BE91...Meta’s internal documents and statements from Chief AI Officer Alexandr Wang position the Watermelon model as the next major step after Muse Spark, targeting an October 2026 release while still in training. Wang reported in July that Watermelon already matches OpenAI’s GPT-5.5 on internal benchmarks thanks to roughly 10x more compute than its predecessor, with further gains expected in coding and agentic capabilities. As of early September, Wang described the project as “on track” and “very competitive” following the Muse Spark 1.3 update, though no public launch or third-party benchmarks have been confirmed. Traders are watching Meta’s aggressive infrastructure spend and competitive pressure from OpenAI and Anthropic for any slippage or acceleration signals ahead of the planned window.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गया



बाहरी लिंक से सावधान रहें।
बाहरी लिंक से सावधान रहें।
अक्सर पूछे जाने वाले प्रश्न