DeepMindがSIMA2を発表。Geminiモデルを採用し、目標理解・計画説明・自己学習が可能に。複雑な3Dゲームで継続的に進化。前身SIMA1（2024年）は画像と仮想デバイス制御で600以上の言語指令を理解、タスク達成率は約31%で人間未満。....
DeepMindがマルチモーダルエージェントSIMA2を発表。Gemini2.5 Flash-liteを基盤とし、タスク成功率が前世代比約2倍に向上。未知環境での複雑指示実行が可能で、自律生成データ循環メカニズムにより自己改善機能を実装。研究プレビュー版として公開され、AGI実現に向けた高度な世界理解・推論能力の検証を目的とする。....
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