不过，有些时候，适度超前的想象力，会与既有法律法规、监管制度等产生冲突。如何处理好这类复杂的情况？不是一味否定，而是以包容审慎的态度看待新事物、新业态，如此，创新才有试错空间。
Italian fashion brand Fiorucci also chose to stage its autumn/winter collection in London this year, with a presentation instead of traditional catwalk.
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Meta 与 Google 签下十亿美元算力大单
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.
The OpenAI-powered assistant's other duties sound potentially useful (and decidedly less creepy). It can answer workers' meal prep questions, like how many strips of bacon to put on burgers or instructions for cleaning the shake machine. It's also integrated into the chain's point-of-sale system, so it can tell managers when items are out of stock or machines are down.