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Second time in two weeks military used laser to attack what it mistakenly thought was a threat, disrupting air traffic

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.

Десятилетн。关于这个话题,heLLoword翻译官方下载提供了深入分析

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He noted that tech companies are "already under that duty when it comes to terrorist material so it can be done. It's a known mechanism," adding that "we need to pursue this with the same vigour".

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這起事件發生前一週,美國也曾出現類似威脅,導致華盛頓特區肯尼迪(甘迺迪)表演藝術中心被疏散。美國媒體報導指出,該威脅同樣針對在當地演出的神韻藝術團。

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