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English(EN) Thinking Machines Lab has released Inkling 2 Small, a mixture-of-experts model with 594B total and 17B active parameters, a 1M-token context and image input. It

Thinking Machines Lab 发布 Inkling 2 Small,支持 1M 上下文和图像输入

Thinking Machines Lab 推出了 Inkling 2 Small,这是一款新的混合专家模型。该模型拥有 5940 亿总参数和 170 亿激活参数,并支持 100 万 token 的上下文窗口以及图像输入。Inkling 2 Small 展示了显著的性能提升,在人工智能分析智能指数上获得 31 分,比其前代产品的 13 分有显著提高。它在特定基准测试中也表现出色,在 SWE-Bench Pro v2 Hard 上获得 86.3% 的分数,但在 Terminal-Bench 上获得 13.1%。该模型权重在发布时不会公开发布。 AI

影响 在编码基准测试中设定新的 SOTA;给 Anthropic 带来压力,要求其做出回应。

排序理由 前沿实验室模型发布,附带系统卡。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 Mastodon — sigmoid.social 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 Lab 发布 Inkling 2 Small,支持 1M 上下文和图像输入

本文如何被排名

Signal score
11 / 100
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Newsworthiness bucket
Significant
前沿实验室模型发布,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. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Thinking Machines Lab 发布了 Inkling 2 Small,这是一款混合专家模型,总参数量 594B,激活参数量 17B,拥有 1M token 上下文和图像输入。

    Thinking Machines Lab has released Inkling 2 Small, a mixture-of-experts model with 594B total and 17B active parameters, a 1M-token context and image input. It scores 31 on the Artificial Analysis Intelligence Index, up from 13 for its predecessor, and 86.3% on SWE-Bench Pro v2 …