The pinnacle of enshittification, or Large Language Models

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为在每个令牌上实现最高智能水平,强化学习训练在增加思考时间的前提下最大化正确率。在部分评估任务中,这会导致阶段性转变。初始阶段模型通过延长思考时间提升性能;随后思考时间惩罚促使模型进行思维压缩——Muse Spark会压缩其推理过程,从而使用更少令牌解决问题。压缩之后,模型会再次扩展解决方案以获得更强性能。

Wait, that's CCRandomCopyBytes, not CCRandomGenerateBytes...

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typedef uint64_t u64;

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