Врачам не удалось спасти заболевшего раком 16-летнего блогераЗвезда TikTok из Новой Зеландии Те Феро попал в больницу из-за рака
A few months ago, for instance, I watched my mother-in-law (who was born and raised in a village in northern Iran) teach Nava how to knock on wood for good luck. I hadn’t realized this was so widespread a practice until I checked Wikipedia and found that variants exist in Bulgaria (chukam na dǎrvo), Georgia (kheze daḳaḳuneba), Indonesia (amit-amit jabang bayi), Norway (bank i bordet ) and some two dozen other countries.
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第二章 仲裁机构、仲裁员和仲裁协会
We're all familiar with the high-pitched squeak of basketball shoes on the court during games, or tires squealing on pavement. Scientists conducted several experiments and discovered that the geometry of the sneakers' tread patterns determines the squeak's frequency, enabling the team to make rubber blocks set to specific frequencies and slide them across glass surfaces to play Star Wars' "Imperial March."
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.