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You're right, I'm not a well-known researcher, simply an entrepreneur who started to publish academic papers. However, I do have a long history of diving deep
by EGreg 6mo ago
You're right, I'm not a well-known researcher, simply an entrepreneur who started to publish academic papers.
However, I do have a long history of diving deep into fields and building practical, open-source solutions to major problems I perceive in the fields.
15 years ago I started with social networks and PHP:
https://github.com/Qbix https://github.com/Qbix
http://laweekly.com/restoring-healthy-communities/ http://laweekly.com/restoring-healthy-communities/
8 years ago I got into smart contracts on EVM, which was the SOTA at the time:
https://github.com/Intercoin https://github.com/Intercoin
https://intercoin.org/applications https://intercoin.org/applications
About a year and a half ago I started teaching a course on AI at a university not far from NYU where I studied... and that's what got me into this: https://vimeo.com/1063008765/c7ef3abcc5 https://vimeo.com/1063008765/c7ef3abcc5
I try to document everything on GitHub and popular articles, but only recently started publishing academic papers on arXiv and plan to actually start submitting them for real publications. While I build, I realized that I should start publishing any novel theoretical results that underpin my work.
I plan to publish actual code in a few weeks. To be fair, TurboQuant is also a purely theoretical paper. I just wanted to get this out and share.
- thethirdone 6mo ago> To be fair, TurboQuant is also a purely theoretical paper. I just wanted to get this out and share. TurboQuant is not a purely theoretical paper. Section 4 "Experiments" (page 15) [0] has a bunch of figure based on actual GPU computations. [0]: https://arxiv.org/abs/2504.19874 https://arxiv.org/abs/2504.19874
- kumarhn 6mo agoTurboQuant looks like it has very serious research integrity issues. https://openreview.net/forum?id=tO3ASKZlok https://openreview.net/forum?id=tO3ASKZlok
- stingraycharles 6mo agoTurboQuant went through ICLR review, has multiple Google Research co-authors, open-source implementations, CUDA kernels, and LongBench benchmarks. Contrast that with your paper: no experiments, no implementation, no empirical validation of any kind. Did you try engaging with LLM researchers and get their feedback on your paper?