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English(EN) Meta's Muse Spark Open: 816B total params, 42B active, 1M-token context. The license reads like MIT, then adds three conditions: 1. Products must show "Built wi

Meta 发布 Muse Spark Open,支持 100 万上下文长度并附带限制性许可

Meta 发布了 Muse Spark Open,这是一个拥有 8160 亿参数、420 亿激活参数和 100 万 token 上下文窗口的模型。该模型的许可证与 MIT 类似,但包含三个特定条件:产品必须承认其使用,衍生品被广泛定义,年收入超过 2000 万美元的 API 业务需要与 Meta 单独签订协议。完整的 8160 亿参数权重在运行时大约需要 700 GB 的 VRAM。 AI

影响 为“开放”模型许可设定了新的先例,对商业用途和衍生品施加了显著限制。

排序理由 Meta 发布前沿模型并附带系统卡。[lever_c 从 frontier_release 降级:ic=1 ai=1.0]

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Meta 发布 Muse Spark Open,支持 100 万上下文长度并附带限制性许可

本文如何被排名

Signal score
11 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
Meta 发布前沿模型并附带系统卡。[lever_c 从 frontier_release 降级:ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · clydara ·

    Meta 的 Muse Spark Open:总参数 8160 亿,激活参数 420 亿,上下文长度 100 万。许可证类似 MIT,但增加了三个条件:1. 产品必须显示“使用...

    Meta's Muse Spark Open: 816B total params, 42B active, 1M-token context. The license reads like MIT, then adds three conditions: 1. Products must show "Built with Muse Spark Open" 2. Derivatives include models trained or distilled on its outputs 3. API businesses past $20M revenu…