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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.
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Good Inside digital memberships cost between $23.25 and $28 a month and the platform passed 100,000 subscribers in the third quarter of last year. The company has raised one round of funding, $10.5 million from VC firms including Alexa von Tobel’s Inspired Capital, in 2023. It’s otherwise bootstrapped by Kennedy and her co-founder Erica Belsky, another psychologist Kennedy met while studying at Columbia who is married to Scott Belsky, an early investor in Uber and Pinterest and an unofficial advisor to the company. Kennedy says she has no immediate plans to raise more money, but is open to the possibility.
这篇文章分享了我对 AI 时代下，软件行业发展以及程序员命运走向的 5 点思考，供大家参考。
7月底，龙妈妈接到西安当地一个陌生电话，对方自称是西安市通讯管理局，说她身份证被人冒用，涉及一宗300万元的诈骗案件，需要尽快联系广州市某区公安局的民警。