金暻铉从二战后的国际关系，特别是美韩关系出发，看到了历史洪流中的一个小小侧面，而正是这个小小侧面日后对韩国娱乐业影响深远：朝鲜战争后，美军基地遍布韩国，为了给人数众多的美国大兵提供娱乐，美军第八娱乐团被组建起来，招募了大量的当地韩国人，继而用美式的歌唱、舞蹈来培训他们，同时也有大量的美军俱乐部需要擅长美国歌曲的艺人。当时的韩国极度贫穷，韩国艺人为了生存，必须拼命模仿美国当时最流行的曲风（摇滚、爵士、乡村），以讨好美国大兵。金暻铉认为，这种“为了赚钱而精准模仿美国口味”的肌肉记忆，从1950年代一直流传到了今天的K-pop工业体系中。“战后的前30年，大多数韩国知名音乐人，如韩国第一个歌星金惠子、韩国摇滚教父申重铉，都以这种歌舞表演开启职业生涯。”金暻铉说。
16:09, 3 марта 2026Интернет и СМИ
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除了东北身份，在其早期的视频，无论是评论区还是视频中的路人，大家最关注的还是“暴暴熊到底是男是女？”
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Abstract:Humans shift between different personas depending on social context. Large Language Models (LLMs) demonstrate a similar flexibility in adopting different personas and behaviors. Existing approaches, however, typically adapt such behavior through external knowledge such as prompting, retrieval-augmented generation (RAG), or fine-tuning. We ask: do LLMs really need external context or parameters to adapt to different behaviors, or do they already have such knowledge embedded in their parameters? In this work, we show that LLMs already contain persona-specialized subnetworks in their parameter space. Using small calibration datasets, we identify distinct activation signatures associated with different personas. Guided by these statistics, we develop a masking strategy that isolates lightweight persona subnetworks. Building on the findings, we further discuss: how can we discover opposing subnetwork from the model that lead to binary-opposing personas, such as introvert-extrovert? To further enhance separation in binary opposition scenarios, we introduce a contrastive pruning strategy that identifies parameters responsible for the statistical divergence between opposing personas. Our method is entirely training-free and relies solely on the language model's existing parameter space. Across diverse evaluation settings, the resulting subnetworks exhibit significantly stronger persona alignment than baselines that require external knowledge while being more efficient. Our findings suggest that diverse human-like behaviors are not merely induced in LLMs, but are already embedded in their parameter space, pointing toward a new perspective on controllable and interpretable personalization in large language models.，详情可参考体育直播
广东省中医院药学部副主任楼步青介绍，一旦电子处方开出，就会生成唯一识别码，在传输、审核、配药、复核、浸泡、煎煮、打包、配送、签收等环节均可一码溯源。现代科技赋能古法工艺，药房各项操作更规范，人为差错风险大大降低。