Chao.G

The TurboQuant paper (ICLR 2026) contains serious issues in how it describes RaBitQ, including incorrect technical claims and misleading theory/experiment comparisons. We flagged these issues to the authors before submission. They acknowledged them, but chose not to fix them. The paper was later accepted and widely promoted by Google, reaching tens of millions of views. We’re speaking up now because once a misleading narrative spreads, it becomes much harder to correct. We’ve written a public comment on openreview (openreview.net/forum?id=tO3AS…). We would greatly appreciate your attention and help in sharing it.

@pythonhunter__ @Hawstein 听完了！有意思的是还聊了很多死亡思考，确实会很影响做决定

本期节目，我们请到了《一个独立创造者的五年》的作者 @Hawstein。从独立开发切入，我们聊了很多关于自身和时代的思考。希望大家喜欢😀 本期关键词： 独立开发 / 人生规划 / 现代性与分工 / 副业模式 / 开源 / 自由的代价 / 存在主义危机 / 技术乐观 / 死亡思考 pythonhunter.org/episodes/ep56

@frankzliu @VoyageAI Congrats!

I joined @VoyageAI last week to work on applied ML. The team is cracked — excited to be a part of this journey! Oh, and feel free to reach out if you're interested in embeddings and retrieval. Would love to chat.

愈发感觉到生存的艰难，在看待丛林法则的时候，也许很多人会认为自己是优势者，只有那些“弱”的人才会被淘汰。不谈一个人的优势劣势是变化的多元的，在说一个人弱的时候的标准是否我看也是一个大大的问号，只能是一声叹息

@OnlyXuanwo @andy_pavlo @DatabendLabs @CMUDB wow!

Thrilled to be invited by @andy_pavlo, I'll be speaking about #OpenDAL and @DatabendLabs at this year's @CMUDB Seminar on Dec 2. Stay tuned! I'll be happy to meet you there. db.cs.cmu.edu/seminar2024/

Okay, gloves off. What @qdrant_engine did with the BM42 post is unacceptable. They are misguiding the RAG community in a big way. 1) Presenting Quora as a relevant RAG question-answering dataset. It's not. 2) Presenting a fake result. Yes. Fake. - Quora might sound like a relevant RAG question-answering dataset. In reality, it is a question-to-question dataset with the task of finding duplicate questions. But Quora sounds appropriate for a RAG benchmark if you don't know the dataset. They report Precision@10 for BM42 is better than BM25 on Quora with 0.49. But how can Precision@10 be that for a dataset when the upper bound for Precision@10 is 0.2? It's fake. A baseline BM25 implementation on the dataset will have a recall@10 of 0.88, precision@10 0.12, and nDCG@10 0.78. Plus, you don't need to run embedding inference.

@jakevin7 恭喜！

生活进入到又一个新阶段了，不再做数据库了。未来要做啥还没想清楚，可能是出去读书吧。 “当然了，这做数据库也没什么不好，但换个世界对我来说可以更加的海阔天空嘛”

Binary retrieval zhuanlan.zhihu.com/p/690044575

@SuJinYan123 最后已经准备试试了，但是快入职的时候好像流程还不是很正规，就没去

@gaoc96 对的，有评价吗？我只是前期给我打了个电话沟通了一下基本情况。

@gaocegege @TensorChord @canva Could you explain the meaning of these compared cases?

Conducted benchmarks on the @TensorChord pgvecto.rs new binary vector recently and found that @canva is an excellent platform for creating charts. The data and style components are separate, allowing for easy editing and customization in the UI

@Ehco1996 太强了！

xiaoyuzhoufm.com/episode/658fee… 2023年终播客

前段时间一篇新的 zhuanlan.zhihu.com/p/667662224

厌烦哪种没有真话的交流，还有根本不知道多少水分的二次加工消息，明明很简单的交谈要搞成这样。果然对你重要的事情别人根本不care

中国男篮，救不了了。。小时候看姚明，王治郅，易建联，长大了以后就只剩阿联了，然后现在一泻千里

一篇发在OSDI上的ann系统paper分享，微软亚研出品 zhuanlan.zhihu.com/p/643907896