谷歌DeepMind推出SIMA2通用智能體，升級採用Gemini模型，能理解目標、解釋計劃並自我學習，在複雜3D遊戲中持續進步。其前身SIMA1於2024年發佈，通過圖像和虛擬設備控制，掌握600多項語言指令，任務完成率約31%，低於人類玩家水平。
谷歌DeepMind發佈多模態智能體SIMA2，基於Gemini2.5Flash-lite模型，任務成功率較前代提升約一倍。新版本能在陌生環境中執行復雜指令，具備自我改進能力，通過引入自生成數據循環機制：系統調用獨立Gemini模型在新場景中批量生成任務。目前以研究預覽形式發佈，旨在驗證實現通用人工智能所需的高階世界理解與推理能力。
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