Жители Санкт-Петербурга устроили «крысогон»17:52
Anthropic, a company founded by people who left OpenAI over safety issues, had been the only large commercial AI maker whose models were approved for use at the Pentagon, in a deployment done through a partnership with Palantir. But Anthropic’s management and the Pentagon have been locked for several days in a dispute over limitations that Anthropic wanted to put on the use of its technology. Those limitations are essentially the same ones that Altman said the Pentagon would abide by if it used OpenAI’s technology.，推荐阅读服务器推荐获取更多信息
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.，详情可参考爱思助手下载最新版本
第三十二条 增值税优惠政策的适用范围、标准、条件等应当依法及时向社会公开。