Josh Sargent’s messy transfer saga ends with $22m move from Norwich to Toronto

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Китайские компании перестали покупать нефть у России. К чему это приведет?23 октября 2025

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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.

Daniel Larlham Jr.

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第五十六条 核进口单位未按照有关规定履行核进口承诺义务的,由国务院核工业主管部门责令改正,处二百万元以上一千万元以下的罚款;对负有责任的领导人员和直接责任人员处十万元以上五十万元以下的罚款,并依法给予处分。

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