谷歌DeepMind預測2026年將成爲AI發展的關鍵轉折點，屆時持續學習技術將全面實現。該技術使AI能自主吸收新知識並不斷改進，被視爲AI自我提升的核心。谷歌已在NeurIPS2025大會上提出“嵌套化方法”，顯著提升了大語言模型的上下文處理能力，爲持續學習奠定了基礎。
小紅書與復旦大學聯合發佈AI繪畫新技術InstanceAssemble，解決AI繪畫“構圖難”問題，實現從簡單到複雜場景的精準圖像生成。相關論文已被頂級會議NeurIPS2025收錄。
英偉達在NeurIPS2025發佈L4級自動駕駛推理模型Alpamayo-R1，基於Cosmos-Reason系列，可同時處理攝像頭、激光雷達和文本指令，通過內部推理輸出駕駛決策。模型採用視覺、語言、動作三模態端到端統一架構，避免模塊誤差疊加，旨在爲車輛賦予“人類常識”。
谷歌在NeurIPS2025發佈"嵌套學習"新範式，突破AI"災難性遺忘"難題。該技術受人類神經可塑性啓發，使模型持續學習新任務時幾乎不丟失舊知識，遺忘率接近零。這標誌着AI從"一次性專家"向"終身學習者"轉變的關鍵進展。
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