GPT-5.2在ARC-AGI-2測試中以75%準確率超越人類平均水平（60%），標誌AI通用智能取得關鍵突破，但同時也凸顯了模型在測試與落地應用間的性能差距問題。
OpenAI宣佈GPT-5.2在ARC-AGI-2基準測試中超越人類基線，該測試評估AI的抽象推理和舉一反三能力，而非模式記憶。這一突破標誌着AI在處理新任務時已跨越“及格線”，向專家級智能邁進。
英偉達小模型NVARC在ARC-AGI2評測中以27.64%的成績超越GPT-5Pro，且單任務成本僅20美分，遠低於對手的7美元，性價比突出。其成功源於獨特的零預訓練深度學習方法，無需依賴大規模通用數據集。
谷歌爲Gemini應用推出Gemini3Deep Think模式，面向Ultra訂閱用戶。該模式大幅增強推理能力，專攻複雜數學、科學及邏輯難題，挑戰當前頂尖模型。在多項基準測試中表現卓越，如在“人類最後的考試”中無工具得分41.0%，在ARC-AGI-2測試中使用代碼執行時成績領先。
人工智能通用推理測試集
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