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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.

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A git repository is a content-addressable object store where objects go in indexed by the SHA1 of their content, plus a set of named references pointing at specific objects by hash. The on-disk format (loose objects as individual files, packfiles as delta-compressed archives with a separate index, a ref store split between a directory of files and a packed-refs flat file with a locking protocol that breaks on NFS) is an implementation detail. The protocol for synchronising objects and refs between repositories is what actually matters, and since git-the-program is just one implementation of it, you can swap the storage backend without clients noticing.,更多细节参见搜狗输入法2026

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While users can restrict Google API keys (by API service and application), the vulnerability lies in the Insecure Default posture (CWE-1188) and Incorrect Privilege Assignment (CWE-269):