APPSO 也实测了一波智能体专家和 MaxClaw 这两项新功能，它确实和一般的智能体 Agent 不同，结合了 Skills 的能力和 OpenClaw 的兼容能力，我们直接就能操作飞书、钉钉等即时通讯软件。
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.。夫子对此有专业解读
We wanted a scenario where, say, 5 well-placed border points could efficiently represent an area with 5,000 internal points and 10,000 road edges. This would reduce those 10,000 edges to just 5*4/2 = 10 shortcuts for routing through that cluster at a high level – an incredible 1:1000 point ratio and a 30x reduction in edges to consider for the high-level path!，更多细节参见Line官方版本下载
語言學習對長遠的大腦健康與幸福感有明顯益處，這點早已廣為人知，因此我對此從無遺憾。但我念了四年語言學位、花了無數時間在動詞變化、死背單字——這樣的學習方式是否已經過時了？
The dock now has more informative tooltips, including showing Super + 1–9 shortcuts for the first 9 apps, and a tooltip on the background apps item.