The industry hasn't quite embraced modular smartphones just yet, even though there have been some nifty concept designs. Google's Project Ara prototype goes back more than a decade, and the same can be said of other concept designs that never saw the light of day.
小米高管称手机成本已成“鬼故事”，存储涨价触发行业正反馈循环
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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.
班德請她協助安排會面，其中包括摩洛哥活動大亨理查・阿蒂亞斯（Richard Attias）。他在達沃斯扮演連結全球精英的重要角色——後來也對「克林頓全球倡議」起了同樣作用。