There's no drastic divide between this trio. Like the "Father" family, they've drifted apart, seemingly content to have lives of their own. But in this household, their proximity practically itches. Lilith looks for ways to razz her sister, sparking a juvenile sibling rivalry that forces Tim into flushed retreat. But these intrusions and escapes are all in the gentle way of making nice. The tragedy of these moments is in how we can see their urge to connect and their fear to, all in a furtive glance, a choked laugh, or a licked bit of pastry.
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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.