In recent years, LLMs have shown significant improvements in their overall performance. When they first became mainstream a couple of years before, they were already impressive with their seemingly human-like conversation abilities, but their reasoning always lacked. They were able to describe any sorting algorithm in the style of your favorite author; on the other hand, they weren't able to consistently perform addition. However, they improved significantly, and it's more and more difficult to find examples where they fail to reason. This created the belief that with enough scaling, LLMs will be able to learn general reasoning.
20:38, 27 февраля 2026Экономика
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以携程为代表的头部平台，其战略重心已清晰地从追求自身GMV（商品交易总额）的线性增长，转向驱动全产业链的价值重塑。
各级人民政府应当加强社会治安综合治理，采取有效措施，预防和化解社会矛盾纠纷，增进社会和谐，维护社会稳定。