Forever 21的路径则更激进。其在破产后被Authentic与SPARC收购，随后在中国通过本土合作方重启。Forever 21强化电商曝光、音乐节快闪与IP联名等动作，试图借助内容营销与下沉市场重新聚焦年轻客群。但与此同时，线上渠道同类价位带的白牌混杂、价格竞争激烈，也让品牌资产面临被稀释的风险。它证明了授权与电商可以快速“回归”，却也暴露品牌管理若失去清晰定位，很容易沦为效率型商品的风险。
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2024年12月25日 星期三 新京报
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Many people reading this will call bullshit on the performance improvement metrics, and honestly, fair. I too thought the agents would stumble in hilarious ways trying, but they did not. To demonstrate that I am not bullshitting, I also decided to release a more simple Rust-with-Python-bindings project today: nndex, an in-memory vector “store” that is designed to retrieve the exact nearest neighbors as fast as possible (and has fast approximate NN too), and is now available open-sourced on GitHub. This leverages the dot product which is one of the simplest matrix ops and is therefore heavily optimized by existing libraries such as Python’s numpy…and yet after a few optimization passes, it tied numpy even though numpy leverages BLAS libraries for maximum mathematical performance. Naturally, I instructed Opus to also add support for BLAS with more optimization passes and it now is 1-5x numpy’s speed in the single-query case and much faster with batch prediction. 3 It’s so fast that even though I also added GPU support for testing, it’s mostly ineffective below 100k rows due to the GPU dispatch overhead being greater than the actual retrieval speed.