Some of the biggest names in music are performing at the Brit Awards this weekend. Sure, there are a lot of awards to be presented, but that's not really what the Brits is about. It's about incredible performances, risqué jokes from the host, and celebrities behaving very badly. It's always a messy night (in the best kind of way).
尤为关键的是，AI 已经成为生产力工具和创新引擎，企业拥抱AI技术已经成为必选项。一方面用于内部提效，通过 AI 辅助开发（如代码生成、任务编排），将传统开发周期从一天缩短至半天，提升研发效率；另一方面驱动企业创新 AI 应用、大模型服务及行业场景解决方案以赋能客户。DataWorks 正在集成 AI 能力，构建智能化数据平台。
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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.，详情可参考一键获取谷歌浏览器下载
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X 上，@BrianRoemmele 直呼震惊，觉得这是给 AI 行业招黑，「片面思考，反人类。重视人类胜过 AI——永远。」