Breathe Easy—We Found the Best Air Purifiers
宏盟在2025年11月完成了对IPG的收购，明确表示双方将在AI研发上形成高度协同。就在本月，宏盟推出“下一代Omni数据与技术平台”，强化AI驱动的营销服务能力，同时将与IPG的协同成本节约目标翻倍至15亿美元，其中10亿美元将来自人力成本的削减；，详情可参考safew官方版本下载
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Compute grows much faster than data . Our current scaling laws require proportional increases in both to scale . But the asymmetry in their growth means intelligence will eventually be bottlenecked by data, not compute. This is easy to see if you look at almost anything other than language models. In robotics and biology, the massive data requirement leads to weak models, and both fields have enough economic incentives to leverage 1000x more compute if that led to significantly better results. But they can't, because nobody knows how to scale with compute alone without adding more data. The solution is to build new learning algorithms that work in limited data, practically infinite compute settings. This is what we are solving at Q Labs: our goal is to understand and solve generalization.，推荐阅读体育直播获取更多信息
Фото: Alexey Belkin / Business Online / Globallookpress.com