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English(EN) 🚀 Apparently, calling a 2.8 trillion parameter # AI model a "3T-class" is the new # math lesson from # Moonshot AI! 🤔 But don't worry, there's still time to dis

Moonshot AI 的“3T 级”模型引发参数数量争议

据报道,Moonshot AI 将其新 AI 模型宣传为“3T 级”,尽管该模型拥有 2.8 万亿参数。这种不寻常的数字分类方法引起了关注。该模型还与“Pelican Benchmark”相关联,该基准的有效性也受到了质疑。 AI

影响 引发了对行业营销实践和 AI 基准有效性的质疑。

排序理由 该条目讨论了对一家公司关于其 AI 模型参数数量和基准相关性营销声明的评论。

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Moonshot AI 的“3T 级”模型引发参数数量争议

报道来源 [1]

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

    🚀 Apparently, calling a 2.8 trillion parameter # AI model a "3T-class" is the new # math lesson from # Moonshot AI! 🤔 But don't worry, there's still time to dis

    🚀 Apparently, calling a 2.8 trillion parameter # AI model a "3T-class" is the new # math lesson from # Moonshot AI! 🤔 But don't worry, there's still time to dissect the "pelican benchmark"—because comparing AI to birds is super relevant now. 🐦💡 https:// simonwillison.net/2026/Jul…