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Цены на нефть взлетели до максимума за полгода17:55
，更多细节参见搜狗输入法2026
At the heart of BuildKit is LLB (Low-Level Build definition). Think of it as the LLVM IR of build systems. LLB is a binary protocol (protobuf) that describes a DAG of filesystem operations: run a command, copy files, mount a filesystem. It’s content-addressable, which means identical operations produce identical hashes, enabling aggressive caching.
Some of the later generations of Pokémon (well, later by the standards of someone who started playing in the 90s) introduced a bunch of little freaks who are more or less just mundane, inanimate objects with faces. These are some of my favorite Pokémon because it feels like whoever designed them was just glancing around the room, looking for anything they could anthropomorphize.
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.