Meta's accelerated release cadence for its Muse Spark large language model family, driven by Meta Superintelligence Labs under Alexandr Wang, is shaping trader views on a 1.3+ update. After the base Muse Spark launch in April 2026 and iterative gains in multimodal reasoning plus tool use with 1.1 in July and the coding-focused 1.2 in early August, the company is prioritizing agentic workflows and competitive benchmarks against OpenAI, Anthropic, and Google models. Recent emphasis on 1M-token context, reliable tool calling, and integrations like Muse Code signals ongoing internal scaling, though historical patterns show timelines can shift with engineering or regulatory hurdles. Traders are watching for Meta AI app updates, API expansions, or developer conferences that could confirm the next milestone.
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。 · 更新日新規
2026/08/31
8月31日
38%
9月30日
54%
$21 Vol.
8月31日
$0 Vol.
38%
9月30日
$21 Vol.
54%
This market will resolve to "Yes" if Meta's next Muse Spark model (1.3+) is made available to the general public between market creation and the specified date (ET). Otherwise, this market will resolve to "No".
A qualifying model must have a name or model identifier that includes "Muse Spark" and be designated as version 1.3 or higher, regardless of capitalization, hyphenation, spacing, or surrounding prefixes, suffixes, dates, or descriptors. For example, a version 1.3 or higher named in the same manner as Muse Spark 1.1 or Muse Spark 1.2 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 1.3, such as Muse Spark 1.2 (including any open-weight re-release of it), 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 accelerated release cadence for its Muse Spark large language model family, driven by Meta Superintelligence Labs under Alexandr Wang, is shaping trader views on a 1.3+ update. After the base Muse Spark launch in April 2026 and iterative gains in multimodal reasoning plus tool use with 1.1 in July and the coding-focused 1.2 in early August, the company is prioritizing agentic workflows and competitive benchmarks against OpenAI, Anthropic, and Google models. Recent emphasis on 1M-token context, reliable tool calling, and integrations like Muse Code signals ongoing internal scaling, though historical patterns show timelines can shift with engineering or regulatory hurdles. Traders are watching for Meta AI app updates, API expansions, or developer conferences that could confirm the next milestone.
This market will resolve to "Yes" if Meta's next Muse Spark model (1.3+) is made available to the general public between market creation and the specified date (ET). Otherwise, this market will resolve to "No".
A qualifying model must have a name or model identifier that includes "Muse Spark" and be designated as version 1.3 or higher, regardless of capitalization, hyphenation, spacing, or surrounding prefixes, suffixes, dates, or descriptors. For example, a version 1.3 or higher named in the same manner as Muse Spark 1.1 or Muse Spark 1.2 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 1.3, such as Muse Spark 1.2 (including any open-weight re-release of it), 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.
A qualifying model must have a name or model identifier that includes "Muse Spark" and be designated as version 1.3 or higher, regardless of capitalization, hyphenation, spacing, or surrounding prefixes, suffixes, dates, or descriptors. For example, a version 1.3 or higher named in the same manner as Muse Spark 1.1 or Muse Spark 1.2 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 1.3, such as Muse Spark 1.2 (including any open-weight re-release of it), 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： Aug 14, 2026, 5:32 PM ET
音量
$21終了日
2026/09/30マーケット開始日
Aug 14, 2026, 5:32 PM ETResolver
0x65070BE91...This market will resolve to "Yes" if Meta's next Muse Spark model (1.3+) is made available to the general public between market creation and the specified date (ET). Otherwise, this market will resolve to "No".
A qualifying model must have a name or model identifier that includes "Muse Spark" and be designated as version 1.3 or higher, regardless of capitalization, hyphenation, spacing, or surrounding prefixes, suffixes, dates, or descriptors. For example, a version 1.3 or higher named in the same manner as Muse Spark 1.1 or Muse Spark 1.2 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 1.3, such as Muse Spark 1.2 (including any open-weight re-release of it), 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 accelerated release cadence for its Muse Spark large language model family, driven by Meta Superintelligence Labs under Alexandr Wang, is shaping trader views on a 1.3+ update. After the base Muse Spark launch in April 2026 and iterative gains in multimodal reasoning plus tool use with 1.1 in July and the coding-focused 1.2 in early August, the company is prioritizing agentic workflows and competitive benchmarks against OpenAI, Anthropic, and Google models. Recent emphasis on 1M-token context, reliable tool calling, and integrations like Muse Code signals ongoing internal scaling, though historical patterns show timelines can shift with engineering or regulatory hurdles. Traders are watching for Meta AI app updates, API expansions, or developer conferences that could confirm the next milestone.
This market will resolve to "Yes" if Meta's next Muse Spark model (1.3+) is made available to the general public between market creation and the specified date (ET). Otherwise, this market will resolve to "No".
A qualifying model must have a name or model identifier that includes "Muse Spark" and be designated as version 1.3 or higher, regardless of capitalization, hyphenation, spacing, or surrounding prefixes, suffixes, dates, or descriptors. For example, a version 1.3 or higher named in the same manner as Muse Spark 1.1 or Muse Spark 1.2 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 1.3, such as Muse Spark 1.2 (including any open-weight re-release of it), 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.
A qualifying model must have a name or model identifier that includes "Muse Spark" and be designated as version 1.3 or higher, regardless of capitalization, hyphenation, spacing, or surrounding prefixes, suffixes, dates, or descriptors. For example, a version 1.3 or higher named in the same manner as Muse Spark 1.1 or Muse Spark 1.2 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 1.3, such as Muse Spark 1.2 (including any open-weight re-release of it), 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.
音量
$21終了日
2026/09/30マーケット開始日
Aug 14, 2026, 5:32 PM ETResolver
0x65070BE91...Meta's accelerated release cadence for its Muse Spark large language model family, driven by Meta Superintelligence Labs under Alexandr Wang, is shaping trader views on a 1.3+ update. After the base Muse Spark launch in April 2026 and iterative gains in multimodal reasoning plus tool use with 1.1 in July and the coding-focused 1.2 in early August, the company is prioritizing agentic workflows and competitive benchmarks against OpenAI, Anthropic, and Google models. Recent emphasis on 1M-token context, reliable tool calling, and integrations like Muse Code signals ongoing internal scaling, though historical patterns show timelines can shift with engineering or regulatory hurdles. Traders are watching for Meta AI app updates, API expansions, or developer conferences that could confirm the next milestone.
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
外部リンクに注意してください。
外部リンクに注意してください。
よくある質問