Ранее в этот же день стало известно, что одну из улиц в Хабаровске третьи сутки затапливает кипятком. В результате коммунальной аварии дорога стала больше похожа на реку, а из-за холода потоки воды стали застывать, образуя наледь, которая мешает автомобилям проехать по улице.
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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В ходе расследования дела, по которому проходят руководители футбольного клуба (ФК) «Торпедо Москва» и спортивные судьи, выяснилось, что на результаты 22 матчей, проведенных на территории Московского региона, было оказано противоправное влияние.
2023年12月18日，临夏州积石山县发生6.2级地震，造成重大人员伤亡和财产损失。全国人民为之揪心，更心系当地能否守住防止规模性返贫致贫的底线。
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"When you regain these core competencies and you start exercising your muscles, your skills do not atrophy," he said. "It's safer. And yes, you are buying down risk, because you're able to test things in low Earth orbit before you need to get to the moon, which is exactly what we did during the Apollo era."，更多细节参见搜狗输入法下载
В России ответили на имитирующие высадку на Украине учения НАТО18:04