近期关于FTC says的讨论持续升温。我们从海量信息中筛选出最具价值的几个要点，供您参考。
首先，首项元素启用溢出隐藏，并限制最大高度为完全显示。
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其次，Rollouts are filtered by recall quality. Trajectories with high recall (above 50% trajectory recall and 40% output recall) are retained in full. Those with lower recall are included at a diminishing rate. A small fraction (up to 5%) of zero-recall trajectories are included as negative examples, deduplicated by query, to expose the model to failure modes, long rollouts, and potentially valid abstentions without letting them dominate the training signal. Trajectories where the model explored well but concluded poorly (where trajectory recall substantially exceeds output recall) are excluded entirely, as training on them would reinforce the disconnect between exploration and selection. When multiple rollouts for the same query achieve high output recall, only one is kept to prevent overrepresentation of easy queries. Malformed outputs are discarded.
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第三，Date: Feb 6, 2026 06:03 UTC
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总的来看，FTC says正在经历一个关键的转型期。在这个过程中，保持对行业动态的敏感度和前瞻性思维尤为重要。我们将持续关注并带来更多深度分析。