If you're an early adopter looking to try out AR glasses, it's hard to argue with the $299 price tag. For reference, Xreal recently launched a more affordable version of its glasses called the Xreal 1S, priced at $449.
"It's a huge surprise because I've always been able to get a job very easily," said Trigg, who lives in Texas. "It wasn't even on my radar to be prepared for more than six months of unemployment. It wasn't in my universe."
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这种压力也延续到了第四季度。财报显示，在第四季度，瑞幸总净收入同比增长32.9%至127.77亿元，但净利润同比下滑39%至5.18亿元，GAAP营业利润率较2024年同期下滑4.1个百分点。净利润率从8.8%降至4.1%；非GAAP净利润6.99亿元，同比下滑25.5%。即便全年营业利润率维持在10.3%，但自营门店利润率从2024年的19.0%微降至17.8%，第四季度自营门店店级运营利润率更是从19.8%下滑至15.0%。
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.