Business-Modules
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.
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18:08, 2 марта 2026Бывший СССР
在这里建议玩 Windows Phone 的各位在完成解锁之后给机器创建一个完整的分区备份，即使因为修改了一些配置后机器无法正常启动后还能够通过分区文件来恢复。
All models exceeded 85% accuracy and 80% F1—pretty solid! I also noticed that LLM-generated sentences were often flagged by multiple models, so voting made perfect sense.