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.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · ActualizadoNUEVO
31 ago 2026
31 de agosto
39%
30 de septiembre
54%
$21 Vol.
31 de agosto
$0 Vol.
39%
30 de septiembre
$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.
Mercado abierto: Aug 14, 2026, 5:32 PM ET
Volumen
$21Fecha de finalización
30 sep 2026Mercado abierto
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.
Volumen
$21Fecha de finalización
30 sep 2026Mercado abierto
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.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado
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