Burger King cooks up AI chatbot to spot if employees say ‘please’ and ‘thank you’

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I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.

Last year Adam Borucki discovered a piece of debris originating from a Space X rocket

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得知小姨与三舅逃亡的历史后,杜耀豪的内心涌现一个苦涩的疑问:“为什么不把这些钱拿去给劳改营的小舅,换他自由?难道一定要牺牲一个,换另外两个?”

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