Meta’s rapid iteration on its Muse Spark reasoning model line, from the original April 2026 debut through 1.3’s September 2 release, drives trader sentiment on the timing of 1.4+. The latest update delivers measurable gains in long-horizon agentic workflows, coding efficiency, and user collaboration while cutting token usage, with immediate availability in Muse Code and the Meta Model API. Competitive pressure from frontier models at OpenAI, Anthropic, and Google, combined with Meta’s public roadmap for open-weight Spark releases and the larger “Watermelon” system, shapes expectations around continued monthly or near-monthly cadence. Key near-term catalysts include safety evaluations for expanded reasoning modes, developer API uptake, and any updates on open-weight timelines that could accelerate or delay subsequent versions.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于9月30日
32%
10月31日
53%
$0.00 交易量
9月30日
32%
10月31日
53%
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.
市场开放时间: 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 its Muse Spark reasoning model line, from the original April 2026 debut through 1.3’s September 2 release, drives trader sentiment on the timing of 1.4+. The latest update delivers measurable gains in long-horizon agentic workflows, coding efficiency, and user collaboration while cutting token usage, with immediate availability in Muse Code and the Meta Model API. Competitive pressure from frontier models at OpenAI, Anthropic, and Google, combined with Meta’s public roadmap for open-weight Spark releases and the larger “Watermelon” system, shapes expectations around continued monthly or near-monthly cadence. Key near-term catalysts include safety evaluations for expanded reasoning modes, developer API uptake, and any updates on open-weight timelines that could accelerate or delay subsequent versions.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于



警惕外部链接哦。
警惕外部链接哦。
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