五年时间，入库企业研发投入总和增长了七成多（72.01%），增速是披露研发企业数量增幅（34.07%）的两倍以上，表明研发投入增长不只来自参与者增加，还包括企业个体研发力度大幅提升，以及资源向头部集中；企业研发投入平均值增幅达到28.21%，进一步印证了研发从“广度扩张”到“深度强化”的态势。
Even though my dataset is very small, I think it's sufficient to conclude that LLMs can't consistently reason. Also their reasoning performance gets worse as the SAT instance grows, which may be due to the context window becoming too large as the model reasoning progresses, and it gets harder to remember original clauses at the top of the context. A friend of mine made an observation that how complex SAT instances are similar to working with many rules in large codebases. As we add more rules, it gets more and more likely for LLMs to forget some of them, which can be insidious. Of course that doesn't mean LLMs are useless. They can be definitely useful without being able to reason, but due to lack of reasoning, we can't just write down the rules and expect that LLMs will always follow them. For critical requirements there needs to be some other process in place to ensure that these are met.，推荐阅读Safew下载获取更多信息
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