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English(EN) Thinking Machines bets on efficiency over size with its second model, Inkling Small

Thinking Machines 发布 Inkling Small,优先考虑效率和性能

由前 OpenAI CTO Mira Murati 创立的人工智能实验室 Thinking Machines 发布了其第二款模型 Inkling Small。这款新的开放权重推理模型比其前代产品小得多,但在各种编码和推理基准测试中表现更优。这一发展凸显了模型设计中对效率和性能的关注。 AI

影响 此次发布强调了高效的模型设计,可能会影响未来人工智能朝着更小、高性能系统发展。

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

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Thinking Machines 发布 Inkling Small,优先考虑效率和性能

报道来源 [2]

  1. The Decoder TIER_1 English(EN) · Matthias Bastian ·

    Thinking Machines bets on efficiency over size with its second model, Inkling Small

    <p><img alt="" class="attachment-full size-full wp-post-image" height="801" src="https://the-decoder.com/wp-content/uploads/2026/07/thinking_machines_inkling_logo.png" style="height: auto; margin-bottom: 10px;" width="1256" /></p> <p> Thinking Machines, the AI lab from former Ope…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Thinking Machines releases Inkling Small, a smaller open-weights model that outperforms its predecessor on coding and reasoning tasks. Efficiency gains over siz

    Thinking Machines releases Inkling Small, a smaller open-weights model that outperforms its predecessor on coding and reasoning tasks. Efficiency gains over size may signal a practical shift in model development. Source: The Decoder AI https:// the-decoder.com/thinking-machi nes-…