蘋果公司高管在WWDC 2026後迴應“AI模型爲Gemini套殼版”的猜測，強調Apple Foundation Models（AFM）完全自主研發，非簡單借用谷歌Gemini技術。雖在蒸餾與訓練中藉助Gemini，但最終產品基於蘋果自有代碼、技術和數據體系，獨立完成。
蘋果在WWDC26發佈iOS27，其深度集成的人工智能體系Apple Foundation Models (AFM)成爲焦點。針對“套殼Google Gemini”的質疑，蘋果高管強硬迴應：AFM並非簡單換皮，而是完全自主開發的成果，僅借鑑了部分Gemini技術。
Liquid AI 公司於2025年7月發佈第二代 Liquid Foundation Models（LFM2），採用創新的“liquid”架構，旨在成爲市場上最快的設備端基礎模型。其高效的訓練和推理能力使小模型能媲美雲端大型語言模型。LFM2 最初提供350M、700M 和1.2B 參數的密集檢查點版本。
阿里巴巴通義千問團隊在NeurIPS 2025獲最佳論文獎，論文《Attention Gating Makes Better Foundation Models》提出“滑動門”機制，在標準注意力後添加可學習門控，動態篩選關鍵頭和token參與下游計算。實驗證明，1.7B稠密模型性能媲美15B MoE模型。本屆大會投稿2萬篇，錄取率僅25%，競爭激烈，該論文是四篇獲獎作品中唯一中國成果。
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