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English(EN) [AINews] Inkling 2 Small: 17A-594B trained in 68 hours on 12T tokens, beating Muse Spark

Thinking Machines 发布 Inkling 2 Small 多模态 MoE 模型

Thinking Machines 发布了 Inkling 2 Small,这是一款多模态 MoE 模型,拥有 594B 总参数和 17B 激活参数。该模型拥有 1M 的上下文窗口,并在不到 3 天的时间内使用 NVFP4 精度在 12T 令牌上进行了预训练。它被定位为领先的开放权重模型,预计在安全测试后发布 Apache 2.0 权重。 AI

影响 为开放权重模型树立了新的标杆,有可能加速多模态 AI 的研究和开发。

排序理由 Frontier-lab 模型发布,附带系统卡。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 Latent Space (swyx) 阅读 →

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

Thinking Machines 发布 Inkling 2 Small 多模态 MoE 模型

本文如何被排名

Signal score
54 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
Frontier-lab 模型发布,附带系统卡。[lever_c_demoted from frontier_release: 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. Latent Space (swyx) TIER_1 English(EN) · swyx .ai ·

    [AINews] Inkling 2 Small: 17A-594B trained in 68 hours on 12T tokens, beating Muse Spark

    November 5, 2026 — Inside Inkling 2 Small’s training run and METR’s study of AI research at Anthropic.