苹果公司高管在WWDC 2026后回应“AI模型为Gemini套壳版”的猜测，强调Apple Foundation Models（AFM）完全自主研发，非简单借用谷歌Gemini技术。虽在蒸馏与训练中借助Gemini，但最终产品基于苹果自有代码、技术和数据体系，独立完成。
苹果在WWDC26发布iOS27，其深度集成的人工智能体系Apple Foundation Models (AFM)成为焦点。针对“套壳Google Gemini”的质疑，苹果高管强硬回应：AFM并非简单换皮，而是完全自主开发的成果，仅借鉴了部分Gemini技术。
Liquid AI 公司于2025年7月发布第二代 Liquid Foundation Models（LFM2），采用创新的“liquid”架构，旨在成为市场上最快的设备端基础模型。其高效的训练和推理能力使小模型能媲美云端大型语言模型。LFM2 最初提供350M、700M 和1.2B 参数的密集检查点版本。
阿里巴巴通义千问团队在NeurIPS 2025获最佳论文奖，论文《Attention Gating Makes Better Foundation Models》提出“滑动门”机制，在标准注意力后添加可学习门控，动态筛选关键头和token参与下游计算。实验证明，1.7B稠密模型性能媲美15B MoE模型。本届大会投稿2万篇，录取率仅25%，竞争激烈，该论文是四篇获奖作品中唯一中国成果。
Moonshot
$200
输入tokens/百万
输出tokens/百万
131
上下文长度
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