太空探索值得投入巨额资金与人力吗? | 读者来信

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Growth in China's tea drink market has slowed after years of rapid expansion. iiMedia Research estimates the sector reached 354.7 billion yuan in 2024 and may rise to about 374.9 billion yuan in 2025.

频道切换与删除指南:网页端点击右上角头像选择"切换账号"。移动端进入"您"标签页,点击右上角齿轮图标选择"切换或管理账号"。删除闲置频道(及所有相关数据)需点击头像,依次进入"查看频道""自定义频道""设置""频道""高级设置""删除YouTube内容"。

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Machine-learning systems learn by finding patterns in enormous quantities of data, but first that data has to be sorted, labeled, and produced by people. ChatGPT got its startling fluency from thousands of humans hired by companies such as Scale AI and Surge AI to write examples of things a helpful chatbot assistant would say and to grade its best responses. A little over a year ago, concerns began to mount in the industry about a plateau in the technology’s progress. Training models based on this type of grading yielded chatbots that were very good at sounding smart but still too unreliable to be useful. The exception was software engineering, where the ability of models to automatically check whether bits of code worked — did the code compile, did it print HELLO WORLD — allowed them to trial-and-error their way to genuine competence.

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