Meta's rapid iteration on the Muse Spark large language model series, developed by its Superintelligence Labs, drives current trader focus following the September 2 release of version 1.3. This update emphasizes longer-horizon agentic workflows, coding efficiency (with ~20% fewer tool calls and ~25% fewer tokens than 1.2), and real-world usability improvements like better collaboration and self-calibration. Prior versions shipped on tight timelines—1.1 in July and 1.2 in August—positioning Meta competitively against frontier models from OpenAI, Anthropic, and Google in multimodal reasoning and developer tools like Muse Code. Key upcoming catalysts include the long-promoted open-weights release, larger models, and potential API expansions, though exact 1.4 timelines remain unannounced amid ongoing safety testing for advanced reasoning modes.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日$10,194 Vol.
9月30日
26%
10月31日
86%
$10,194 Vol.
9月30日
26%
10月31日
86%
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.
マーケット開始日: Sep 4, 2026, 10:28 AM ET
リゾルバー
0x65070BE91...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.
リゾルバー
0x65070BE91...Meta's rapid iteration on the Muse Spark large language model series, developed by its Superintelligence Labs, drives current trader focus following the September 2 release of version 1.3. This update emphasizes longer-horizon agentic workflows, coding efficiency (with ~20% fewer tool calls and ~25% fewer tokens than 1.2), and real-world usability improvements like better collaboration and self-calibration. Prior versions shipped on tight timelines—1.1 in July and 1.2 in August—positioning Meta competitively against frontier models from OpenAI, Anthropic, and Google in multimodal reasoning and developer tools like Muse Code. Key upcoming catalysts include the long-promoted open-weights release, larger models, and potential API expansions, though exact 1.4 timelines remain unannounced amid ongoing safety testing for advanced reasoning modes.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日



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