Anthropic weakens its safety pledge in the wake of the Pentagon's pressure campaign

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中国人民解放军和中国人民武装警察部队按照中央军事委员会的规定,做好核事故应急相关工作。

Act Two: Traps and Dicks. Synonyms and Subs-titutes.

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В сентябре 2022 года произошли подрывы газопроводов «Северный поток — 1» и «Северный поток — 2» в Балтийском море. Позже Der Spiegel со ссылкой на источники писал, что бывший главнокомандующий Вооруженными силами Украины (ВСУ), посол Киева в Великобритании Валерий Залужный одобрил это действие.

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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.