Meta's rapid iteration on Muse Spark drives current trader sentiment, with version 1.3 launching September 2 via the Meta Model API and Muse Code just weeks after the 1.2 update. The new model shows clear gains in long-horizon agentic workflows and coding efficiency—roughly 20% fewer tool calls and 25% fewer tokens than its predecessor—while maintaining a 1-million-token context window and multimodal inputs. Meta Superintelligence Labs, led by Alexandr Wang, has signaled further progress toward personal superintelligence, including an upcoming larger "Watermelon" model and open-weights releases. This cadence, alongside competition from OpenAI and Anthropic on developer APIs and agent capabilities, positions a 1.4+ release as plausible before year-end, though product timelines remain subject to internal benchmarks and safety reviews.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour30 septembre
22%
31 octobre
86%
$9,101 Vol.
30 septembre
22%
31 octobre
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.
Marché ouvert : Sep 4, 2026, 10:28 AM ET
Résolveur
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.
Résolveur
0x65070BE91...Meta's rapid iteration on Muse Spark drives current trader sentiment, with version 1.3 launching September 2 via the Meta Model API and Muse Code just weeks after the 1.2 update. The new model shows clear gains in long-horizon agentic workflows and coding efficiency—roughly 20% fewer tool calls and 25% fewer tokens than its predecessor—while maintaining a 1-million-token context window and multimodal inputs. Meta Superintelligence Labs, led by Alexandr Wang, has signaled further progress toward personal superintelligence, including an upcoming larger "Watermelon" model and open-weights releases. This cadence, alongside competition from OpenAI and Anthropic on developer APIs and agent capabilities, positions a 1.4+ release as plausible before year-end, though product timelines remain subject to internal benchmarks and safety reviews.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour



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