English(EN) China just open-sourced a trillion-parameter model that burns fewer tokens than your favorite "efficient" US model.

中国开源 Ling-2.6-1T，一个万亿参数模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-04-30 16:03

中国发布了 Ling-2.6-1T，一个万亿参数模型，并公开发布供检查和基准测试。这一开源发布通过提供一个功能强大且可能更高效的替代方案，挑战了美国公司专有模型的统治地位。如此大规模模型的可用性预计将削弱封闭模型系统的竞争优势。 AI

影响增加了大规模模型的可用性，可能降低了主要人工智能实验室以外的研究和开发的门槛。

排序理由来自非前沿实验室的大规模语言模型开源发布。[lever_c_demoted from research: ic=1 ai=1.0]

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

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Newsworthiness bucket: Tool; 来自非前沿实验室的大规模语言模型开源发布。[lever_c_demoted from research: ic=1 ai=1.0]
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Topics: model release, paper; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
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X — Hasan Toxr TIER_1 English(EN) · hasantoxr · 2026-04-30 16:03

中国刚刚开源了一个万亿参数模型，其燃耗的 token 比你最喜欢的“高效”美国模型还要少。

China just open-sourced a trillion-parameter model that burns fewer tokens than your favorite "efficient" US model. Ling-2.6-1T is now public, inspectable, and benchmarkable. The closed-model moat just got smaller. https://t.co/88jM7qsmh5