𝚅𝚒𝚝𝚊𝚕𝚢𝚁 @der_emacs

Learning mathematics https://t.co/vFU49GDT1k vitalyr.com Joined September 2016

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Dan Hollick @DanHollick

5 days ago

Last week, I published a chapter about color. It's fairly comprehensive: makingsoftware.com/chapters/color…

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Simone Scardapane @s_scardapane

4 days ago

*Harnessing the Universal Geometry of Embeddings* by @rishi_d_jha @jxmnop @shmatikov With the proper set of losses, text embeddings from different models can be aligned with no paired data (what they call the "strong" Platonic hypothesis). arxiv.org/abs/2505.12540

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𝚅𝚒𝚝𝚊𝚕𝚢𝚁 @der_emacs

2 weeks ago

我等了五年

Team Cherry @TeamCherryGames

2 weeks ago

我等了五年

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Vivek Galatage @vivekgalatage

2 weeks ago

This paper shows how rearchitecting B+trees for SIMD brings multi-fold improvements in query throughput. If you are keen to deep dive into SIMD, this is a highly recommended read - "A High Throughput B+tree for SIMD Architectures". ece.lsu.edu/lpeng/papers/t…

Vivek Galatage @vivekgalatage

3 weeks ago

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𝚅𝚒𝚝𝚊𝚕𝚢𝚁 @der_emacs

3 weeks ago

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Haeun Yu @hayu204

3 weeks ago

🙋 How do Large Language Models internally process cultural knowledge? 🌐 Happy to share our new preprint "Entangled in Representations: Mechanistic Investigation of Cultural Biases in Large Language Models" 📃 Paper: arxiv.org/abs/2508.08879

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𝚅𝚒𝚝𝚊𝚕𝚢𝚁 @der_emacs

3 weeks ago

可爱小狗

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𝚅𝚒𝚝𝚊𝚕𝚢𝚁 @der_emacs

3 weeks ago

买了claude max

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Guangxuan Xiao @Guangxuan_Xiao

4 weeks ago

I've written the full story of Attention Sinks — a technical deep-dive into how the mechanism was developed and how our research ended up being used in OpenAI's new OSS models. For those interested in the details: hanlab.mit.edu/blog/streaming…

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𝚅𝚒𝚝𝚊𝚕𝚢𝚁 @der_emacs

a month ago

我现在AI文字PTSD了

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𝚅𝚒𝚝𝚊𝚕𝚢𝚁 @der_emacs

a month ago

老马拉大车

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roife @roifex

a month ago

帮导师转发：「这篇文章记录了太阿研发的心路历程，以及我和谭老师来南大后的成长轨迹。」 zhuanlan.zhihu.com/p/192784636047…

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Zichen Liu @zzlccc

a month ago

In the era of experience, we're training LLM agents with RL — but something's missing... We miss the good old Gym! So we built 💎GEM: a suite of environments for training LLM 𝚐𝚎𝚗𝚎𝚛𝚊𝚕𝚒𝚜𝚝𝚜. Let’s build the Gym for LLMs, together: axon-rl.notion.site/gem

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Quanta Magazine @QuantaMagazine

a month ago

As a grad student, Fan Chung figured out a way to prove an important estimate in Ramsey theory. 50 years later, no one has improved it. But as she likes to tell her students: “Do not give up. A problem proves its worth by fighting back." quantamagazine.org/why-the-key-to…

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Frank Nielsen @FrnkNlsn

a month ago

A note on the Artstein-Avidan-Milman's generalized Legendre transforms arxiv.org/abs/2507.20577

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Kirito (e/acc) 🏴‍☠️ @bronzeagepapi

a month ago

An Elementary Introduction to the Hopf Fibration arxiv.org/abs/2212.01642

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Simone Scardapane @s_scardapane

a month ago

*The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs* by @p_nawrot @PontiEdoardo @cheeesio @seb_ruder They study sparse attention techniques at scale, comparing to small dense models at the same compute budget. arxiv.org/abs/2504.17768