Anthropic says the change was motivated by a "collective action problem" stemming from the competitive AI landscape and the US's anti-regulatory approach. "If one AI developer paused development to implement safety measures while others moved forward training and deploying AI systems without strong mitigations, that could result in a world that is less safe," the new RSP reads. "The developers with the weakest protections would set the pace, and responsible developers would lose their ability to do safety research and advance the public benefit."
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简单来说，通过 1:7 的 MLA + Lightning Linear 结构，Ring-2.5-1T 在保证万亿参数（激活参数 63B）强大表达能力的同时，将访存规模降低了 10 倍以上，生成吞吐提升了 3 倍。这意味着什么？意味着在处理**超长上下文（Long Context）和深度思考（Reasoning）**任务时，它能像“闪电”一样快，同时保持极高的逻辑严谨性。
* @param n 数组长度