Meta’s rapid iteration on the Muse Spark series from its Superintelligence Labs drives current trader sentiment for the next 1.4+ release. The company dropped Muse Spark 1.3 on September 2, 2026—less than a month after 1.2—delivering notable gains in coding, agentic workflows, and long-context reasoning while keeping aggressive pricing through the Meta Model API and Muse Code. This pace reflects Meta’s rebuilt AI stack, expanded compute, and competitive push against OpenAI, Anthropic, and Google models. Key upcoming catalysts include the promised open-weights release for recent versions, the larger “Watermelon” model in training, and further multimodal or personal-agent features. Traders weigh Meta’s consistent monthly-scale updates against typical AI development slippage and rival announcements that could shift the frontier.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於9 月 30 日
32%
10 月 31 日
52%
$0.00 交易量
9 月 30 日
32%
10 月 31 日
52%
A qualifying model must have a name or model identifier that includes "Muse Spark" and be designated as version 1.4 or higher, regardless of capitalization, hyphenation, spacing, or surrounding prefixes, suffixes, dates, or descriptors. For example, a version 1.4 or higher named in the same manner as Muse Spark 1.2 or Muse Spark 1.3 would qualify, including a new whole-number generation such as Muse Spark 2, while models whose name does not include "Muse Spark" or which retain a version designation below 1.4, such as Muse Spark 1.3 (released September 2, 2026, including any of its reasoning modes, open-weight re-releases, rollouts, promotions, or snapshots), Muse Glimmer, or Muse Image, will not qualify.
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.
市場開放時間: Sep 4, 2026, 10:28 AM ET
A qualifying model must have a name or model identifier that includes "Muse Spark" and be designated as version 1.4 or higher, regardless of capitalization, hyphenation, spacing, or surrounding prefixes, suffixes, dates, or descriptors. For example, a version 1.4 or higher named in the same manner as Muse Spark 1.2 or Muse Spark 1.3 would qualify, including a new whole-number generation such as Muse Spark 2, while models whose name does not include "Muse Spark" or which retain a version designation below 1.4, such as Muse Spark 1.3 (released September 2, 2026, including any of its reasoning modes, open-weight re-releases, rollouts, promotions, or snapshots), Muse Glimmer, or Muse Image, will not qualify.
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 rapid iteration on the Muse Spark series from its Superintelligence Labs drives current trader sentiment for the next 1.4+ release. The company dropped Muse Spark 1.3 on September 2, 2026—less than a month after 1.2—delivering notable gains in coding, agentic workflows, and long-context reasoning while keeping aggressive pricing through the Meta Model API and Muse Code. This pace reflects Meta’s rebuilt AI stack, expanded compute, and competitive push against OpenAI, Anthropic, and Google models. Key upcoming catalysts include the promised open-weights release for recent versions, the larger “Watermelon” model in training, and further multimodal or personal-agent features. Traders weigh Meta’s consistent monthly-scale updates against typical AI development slippage and rival announcements that could shift the frontier.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於



警惕外部連結哦。
警惕外部連結哦。
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