Meta’s Watermelon model, the internal codename for the next frontier large language model after Muse Spark (Avocado), remains in training as of early September 2026. Internal July updates from Meta Superintelligence Labs chief Alexandr Wang highlighted parity with OpenAI’s GPT-5.5 on unspecified benchmarks, achieved via roughly 10x the compute of its predecessor amid Meta’s $125–145 billion infrastructure spend. Reports from August point to a targeted October release, potentially powering the consumer Hatch agent platform with tool-use capabilities and tiered subscriptions. Traders are monitoring verification of these claims against open benchmarks, OpenAI and Anthropic releases, and any slippage in the October window amid rapid model iteration cycles.
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$12,441 वॉल्यूम
30 सितंबर
5%
31 अक्टूबर
74%
30 नवंबर
93%
$12,441 वॉल्यूम
30 सितंबर
5%
31 अक्टूबर
74%
30 नवंबर
93%
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 Watermelon model, the internal codename for the next frontier large language model after Muse Spark (Avocado), remains in training as of early September 2026. Internal July updates from Meta Superintelligence Labs chief Alexandr Wang highlighted parity with OpenAI’s GPT-5.5 on unspecified benchmarks, achieved via roughly 10x the compute of its predecessor amid Meta’s $125–145 billion infrastructure spend. Reports from August point to a targeted October release, potentially powering the consumer Hatch agent platform with tool-use capabilities and tiered subscriptions. Traders are monitoring verification of these claims against open benchmarks, OpenAI and Anthropic releases, and any slippage in the October window amid rapid model iteration cycles.
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



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