They used AI to create actors who don't exist based on a screenplay from a writer. They asked it to generate an image of the "actors" - recording their voice and then feeding the image back to the AI tool, asking it to create a fitting voice.
音頻加註文字,陸劇《甄嬛傳》「馬拉松」如何成為台灣年輕人過年的「文化習俗」?Skip content and continue reading中共黨報批歷史劇《甄嬛傳》宣揚犬儒主義2013年9月19日,详情可参考91视频
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Under load, this creates GC pressure that can devastate throughput. The JavaScript engine spends significant time collecting short-lived objects instead of doing useful work. Latency becomes unpredictable as GC pauses interrupt request handling. I've seen SSR workloads where garbage collection accounts for a substantial portion (up to and beyond 50%) of total CPU time per request — time that could be spent actually rendering content.