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2:08 PM · Dec 8, 2025View on Bluesky，详情可参考钉钉下载
Hot take. I know. But I don't think your paper title matters if your paper is good.。关于这个话题，https://telegram官网提供了深入分析
Reinforcement Learning (RL) is the second axis. After pretraining, RL is applied to amplify capabilities by training the model on outcome-based feedback rather than just token prediction. Think of it this way: pretraining teaches the model facts and patterns; RL teaches it to actually get answers right. Even though large-scale RL is notoriously prone to instability, Meta’s new stack delivers smooth, predictable gains. The research team reports log-linear growth in pass@1 and pass@16 on training data, that means the model improves consistently as RL compute scales. pass@1 means the model gets the answer right on its first try; pass@16 means at least one success across 16 attempts — a measure of reasoning diversity.
Специалисты предупредили россиян о радиационном риске определённой категории жилых помещений 02:01