[KongchangAI]
Model

Muse Spark

Muse Spark is a multimodal artificial intelligence reasoning model that combines visual understanding with text-based reasoning. It supports tool invocation, visual chain-of-thought reasoning, and multi-agent coordination. The model is designed to handle complex cross-modal tasks and can serve as a reasoning core within multi-agent systems, making it applicable to scenarios that require integrated perception and logical inference.

Timeline (last 90 days)

Oct 13

After Muse Spark was released, it quietly became a primary tool, and someone on Hacker News said it migrated 90% of their programming work away from Codex.

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Oct 12

Muse Spark is the first model released by Meta's reorganized Superintelligence Labs division.

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Oct 6

Muse is a personal AI assistant launched by Meta, running on the Muse Spark model, currently limited to the United States and available on iOS, Android, web, and WhatsApp

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Oct 6

Meta's Muse is a consumer-grade product oriented toward personal scenarios, using the Muse Spark model.

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Oct 1

Muse is powered by Meta's in-house muse spark 1.3 model.

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Sep 28

Muse Spark can be used as a backend via OpenCode Go.

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Sep 16

Meta publicly stated on August 10 that it would release the weights of the Muse Spark model as open source.

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Sep 16

When Meta made the open-source commitment, Muse Spark was at version 1.2.

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Sep 16

As of the time of the discussion, Muse Spark had iterated to version 1.3, but the promised open-source weights had still not been released.

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Sep 16

As of the time of the discussion, Meta had not provided any public explanation for why the Muse Spark weights were withheld or how long it would take to fulfill the commitment.

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9 more timeline events

All Facts (19)

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Muse Spark是NVIDIA Omniverse生态系统的一部分

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Muse Spark聚焦于降低3D内容创作的门槛,利用生成式AI技术让普通用户能完成此前需要专业技能的创作任务

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Muse Spark is a model specifically designed for coding assistants and intelligent agents.

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After Muse Spark was released, it quietly became a primary tool, and someone on Hacker News said it migrated 90% of their programming work away from Codex.

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Unverified

Muse is a personal AI assistant launched by Meta, running on the Muse Spark model, currently limited to the United States and available on iOS, Android, web, and WhatsApp

50%
Unverified

Meta's Muse is a consumer-grade product oriented toward personal scenarios, using the Muse Spark model.

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Unverified

Muse is powered by Meta's in-house muse spark 1.3 model.

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Muse Spark can be used as a backend via OpenCode Go.

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When Meta made the open-source commitment, Muse Spark was at version 1.2.

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Muse Spark has made advances in agentic capabilities and multimodal capabilities in every released version.

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"Muse Spark" is not a well-known product line publicly released by Meta.

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Muse Glimmer is distilled from Meta's Muse Spark model.

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Meta uses a transparent opt-in model that allows users to decide for themselves whether to contribute data in exchange for a discount.

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For enterprise users handling sensitive data or proprietary code, the potential data leakage risk of sharing prompts and model outputs may far outweigh the fees saved.

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The data-sharing impact of individual developers or open-source projects using the discount is relatively limited.

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Muse Spark offers users an average explicit discount of approximately 95%, on the condition that users contribute their own usage data—including prompts and model outputs—for Meta to use in training models.

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Muse Spark is the first model released by Meta's reorganized Superintelligence Labs division.

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Unverified

Meta publicly stated on August 10 that it would release the weights of the Muse Spark model as open source.

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Unverified

Meta released Muse Spark in April (its first frontier model without releasing weights), and four months later released Muse Glimmer (30 billion parameters, Apache license, distilled).

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