近期关于不会迅速回到目标的讨论持续升温。我们从海量信息中筛选出最具价值的几个要点,供您参考。
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此外,Nobody knows the right answer yet for what the future of engineering looks like and that’s incredibly uncomfortable. Maybe everything I’ve been learning about how to work with AI is going to be completely pointless in six months when a new model comes out that can do all of the things I can do. But learning how to work well with these tools is something to hold onto right now. And I don’t think I’m going to regret having learned it.
最后,I also tried some generative AI apps, even though that’s not really something I’m interested in. For apps like Apple’s own Image Playground, the M4 is extremely speedy. It ripped through my goofy queries (an orange kitten dressed up like an astronaut) in a matter of seconds. When I compared it to the iPad Pro M5, the Air barely lagged behind it. However, the M4 couldn’t quite keep up with more advanced image generation tools. The Draw Things iPad app lets you download and run a host of local models to create images, and the M4 definitely couldn’t keep up with the M5. The iPad Pro M5 was typically more than twice as fast as the Air. We already knew the M5 was an AI beast, so I’m not knocking the Air for its performance at all — it’s just worth knowing that if you really want to push the envelope, you’ll probably be better off with an iPad Pro.
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面对不会迅速回到目标带来的机遇与挑战,业内专家普遍建议采取审慎而积极的应对策略。本文的分析仅供参考,具体决策请结合实际情况进行综合判断。