Year in Review (10)
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.
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数据来源：沪深交易所等。中证港股通互联网指数近5个完整年度的涨跌幅分别为： 2021年，-36.61%；2022年，-23.01%；2023年，-24.74%；2024年，23.04%；2025年，27.02%。指数成份股构成根据该指数编制规则适时调整，其回测历史业绩不预示指数未来表现。，更多细节参见雷速体育