![[D] TurboQuant author replies on OpenReview](https://d2xsxph8kpxj0f.cloudfront.net/310419663032563854/konzwo8nGf8Z4uZsMefwMr/default-img-circuit-gold-PMJWD5qsqGfXwX8w9a97Cb.webp)
[D] TurboQuant author replies on OpenReview
Hi there, little explorer! Let's talk about a new toy!
Imagine a smart robot named TurboQuant. This robot helps make big computer brains work super fast!
Some grown-ups were talking about TurboQuant, and they had some questions, like "Did you make this part of TurboQuant all by yourself?"
So, the people who made TurboQuant wrote a letter. They said, "Yes, we made our robot special! We want to tell everyone clearly how we built it, so there are no mix-ups."
It's like when you build a cool LEGO castle, and someone asks, "Did you use my red brick?" And you say, "Nope! This red brick is mine, and here's why!" They just want to make sure everyone understands how TurboQuant works. Yay for clear answers!
<!-- SC_OFF --><div class="md"><p>I wanted to follow up to <a href="https://www.reddit.com/r/MachineLearning/comments/1s7m7rn/comment/odaect4/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button">yesterday's thread</a> and see if anyone wanted to weigh in on it. This work is far outside of my niche, but it strikes me as an attempt to reframe the issue instead of addressing concerns head on. </p> <p>OpenReview link for reference: <a href="https://openreview.net/forum?id=tO3ASKZlok">https://openreview.net/forum?id=tO3ASKZlok</a></p> <blockquote> <p>In response to recent commentary regarding our paper, "TurboQuant," we provide the following technical clarifications to correct the record.</p> <p>TurboQuant did not derive its core method from
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