Hu says that by the mid-2010s, Lenovo was following an AI playbook that could be replicated during the current generative AI boom. The company committed to using AI across the entire enterprise, starting with smaller use cases, and then expanding across product development, manufacturing, and other functions.
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this is a very powerful technique, and it is the main reason why we are so fast on the benchmarks, because by the time we confirm a match, both the lookbehind and lookahead have already been matched - we report matches retroactively once all the context is known, instead of trying to look into the future or backtracking to the past or keeping track of NFA states. this is a very different way of thinking about regex matching, and it took me a while to wrap my head around it, but once you see it in action, i hope you appreciate how elegant and efficient it is.
这种情况下，大量采用AI生产的普通短剧，不依靠优质画面和精彩剧情，只凭规模化的产能就能及时满足市场要求。而另外一部分追求内容品质的用户，则会因为主动或被动地对AI短剧提出反馈，为AI模型提供训练数据，倒逼短剧产业向上游的AI剧本、AI分镜、视频生成等环节优化AI生成算法和执行流程。