You can set multiple alarms with different bedtimes and wakeup times, which is really handy if your schedule is all over the place or you want to allow yourself to sleep in more on certain days. My only real complaint so far is that the sunrise feature isn't quite as strong as I want it to be. The Dreamie's sunrise goes from a warm glow to a bright blue-white, but it never gets big enough to wash over me in the way I expect a sunrise alarm to. Having the light on is helpful for orienting yourself when you're groggy and half-asleep, but it doesn't feel like it's having much effect on my actual wakeup process.
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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