Self-attention is required. The model must contain at least one self-attention layer. This is the defining feature of a transformer — without it, you have an MLP or RNN, not a transformer.
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* 核心逻辑：能看到的人数 = 弹出的矮个子数量（count） + （栈顶有更高的人则+1，否则+0）
摘要：在通用智能体时代，深度思考（Deep Thinking）与长程执行（Long-Horizon Agent）正成为基座模型的新范式。本文深度评测蚂蚁百灵最新开源的 Ring-2.5-1T 思考模型，通过 Ling Studio 实战演示其在复杂代码重构与逻辑推理上的惊人表现，并挖掘 Ling + Tbox 的“隐藏玩法”，打造一套极客专属的 Agentic Workflow。