场景复用率低、定制化成本高，直接导致客户回本周期漫长，商业化的脚步被一再拖住。
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The new iPad Air with M4 is more powerful and versatile than ever, with blazing performance, more memory, enhanced connectivity, and game-changing iPadOS 26 features.
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Up to 2.7x faster image processing performance in Affinity when compared to MacBook Air with M1, and up to 1.5x faster than MacBook Air with M4.2
Reinforcement LearningThe reinforcement learning stage uses a large and diverse prompt distribution spanning mathematics, coding, STEM reasoning, web search, and tool usage across both single-turn and multi-turn environments. Rewards are derived from a combination of verifiable signals, such as correctness checks and execution results, and rubric-based evaluations that assess instruction adherence, formatting, response structure, and overall quality. To maintain an effective learning curriculum, prompts are pre-filtered using open-source models and early checkpoints to remove tasks that are either trivially solvable or consistently unsolved. During training, an adaptive sampling mechanism dynamically allocates rollouts based on an information-gain metric derived from the current pass rate of each prompt. Under a fixed generation budget, rollout allocation is formulated as a knapsack-style optimization, concentrating compute on tasks near the model's capability frontier where learning signal is strongest.，更多细节参见爱思助手