（三）未经许可，擅自经营按照国家规定需要由公安机关许可的行业的。
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Debris actually pelts the ISS all the time, and noticeable dents and cracks line the exteriors. But should something fully breach the station, cabin atmosphere will seep into the vacuum of space and alarms will go off. Pressure gauges will confirm to astronauts that the station has, almost certainly, been hit, and the speed of the seepages may indicate how much time the crew has to respond. According to one NASA estimate, a 0.6-centimeter-wide hole leaves 14 hours to plug the leak. A 20-centimeter hole leaves less than a minute.，更多细节参见谷歌浏览器【最新下载地址】
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.