Pradipta Mitra

51 posts

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Pradipta Mitra

Pradipta Mitra

@pp_mitra

Google Software Engineer. Distributed systems, Knowledge Graphs, Gen AI. https://t.co/2jIprTAHd4

NYC Katılım Ekim 2025
57 Takip Edilen1 Takipçiler
sóma
sóma@actualsnek_·
acc to śaiva siddhāntins, tamil & sanskrit emerged from each side of śiva’s ḍamaru. acc to śrīvaiṣṇavas, both are eternal & deva-bhāṣās.
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Selerax
Selerax@Selerax·
@razibkhan Look at that beautiful lingam in the back!
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Pradipta Mitra
Pradipta Mitra@pp_mitra·
@Saatvata Any tradition that doesn't have a Abrahamic style "prior restraint" on the immanence of divinity is incipiently Hindu, but perhaps a certain level of connective tissue is needed to claim something as Hindu as such.
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चेदिराड्रिपुपार्षदः 🟩⬜️⬛️
It's one thing to say that Hindu is an umbrella term for a wide variety of interconnected religions. I can understand including Buddhism, Jainism, and arguably even Sarna, Sanamahism, etc. under the umbrella. Yet if you include Naga animism under this umbrella, it just highlights why people say Hinduism is a meaningless term and Hindus have no commonalities at all aside from "non-Abrahamic from Indian subcontinent." Not even caste.
चेदिराड्रिपुपार्षदः 🟩⬜️⬛️ tweet mediaचेदिराड्रिपुपार्षदः 🟩⬜️⬛️ tweet mediaचेदिराड्रिपुपार्षदः 🟩⬜️⬛️ tweet mediaचेदिराड्रिपुपार्षदः 🟩⬜️⬛️ tweet media
Squint Neon@SquintNeon

Nagaland used to be an Hindu Majority State. Just saying.

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Jack Zhang
Jack Zhang@jcz42·
We made Muon run up to 2x faster for free! Introducing Gram Newton-Schulz: a mathematically equivalent but computationally faster Newton-Schulz algorithm for polar decomposition. Gram Newton-Schulz rewrites Newton-Schulz such that instead of iterating on the expensive rectangular X matrix, we iterate on the small, square, symmetric XX^T Gram matrix to reduce FLOPs. This allows us to make more use of fast symmetric GEMM kernels on Hopper and Blackwell, halving the FLOPs of each of those GEMMs. Gram Newton-Schulz is a drop-in replacement of Newton-Schulz for your Muon use case: we see validation perplexity preserved within 0.01, and share our (long!) journey stabilizing this algorithm and ensuring that training quality is preserved above all else. This was a super fun project with @noahamsel, @berlinchen, and @tri_dao that spanned theory, numerical analysis, and ML systems! Blog and codebase linked below 🧵
Jack Zhang tweet media
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Yuchen Jin
Yuchen Jin@Yuchenj_UW·
If you had two software engineering offers: > One pays you $500k/year salary, but covers zero LLM tokens. > One pays you $400k/year salary, but gives you $500/day free LLM tokens. Which one are you taking?
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Pradipta Mitra
Pradipta Mitra@pp_mitra·
@sabizak ok that's odd. But if you look at those on Wikipedia muladhara appears to have a different letter in the middle "la" as opposed to "ha".
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Sabahat Zakariya
Sabahat Zakariya@sabizak·
Saw this at my salon in Lahore. What does it mean/symbolize?
Sabahat Zakariya tweet media
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Dmitrii Kovanikov
Dmitrii Kovanikov@ChShersh·
Same C++ function. One is generated with AI. The other one is written manually. Guess which one is which.
Dmitrii Kovanikov tweet mediaDmitrii Kovanikov tweet media
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Aakash Gupta
Aakash Gupta@aakashgupta·
The guy who helped build React, the most popular workaround for the browser's layout engine, just said the workaround isn't sufficient and built the replacement himself. Cheng Lou's resume is the context that makes this announcement hit different. He worked on React at Facebook. Created ReasonML and ReScript. Built Messenger's frontend. Now runs Midjourney's entire UI stack on Bun. Every single role was a fight against the same enemy: the browser's rendering pipeline. Here's why this matters beyond the engineering flex. The web was built to render documents. Static HTML, flowing text, pages you scroll through. CSS layout was designed for that world. Then we started building applications inside the document renderer: spreadsheets, design tools, messaging apps, AI chat interfaces. Every one of those applications has to ask the browser permission to know how big text is. That question triggers reflow. Reflow locks the main thread. At 60fps you get 16 milliseconds per frame. Spend those milliseconds on layout recalculation and the user sees jank. The industry's answer for the last decade has been to work around the problem. Virtual DOM (React) batches the writes. CSS containment limits the blast radius. content-visibility skips offscreen layout. FastDOM separates reads from writes. Every solution accepts that the browser owns text measurement and tries to call it less often. Cheng Lou's answer: stop calling it at all. Measure text in pure TypeScript. Skip the DOM. Skip CSS. Skip reflow entirely. Zero layout passes. The performance improvement, per his demo, is categorical. 0.05ms versus 30ms. Zero reflows versus five hundred. The person who understands the browser rendering pipeline better than almost anyone alive just built the tool that makes part of it unnecessary. That tells you where application-grade UI is heading.
Cheng Lou@_chenglou

My dear front-end developers (and anyone who’s interested in the future of interfaces): I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept): Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow

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Syed
Syed@Gypsy_heart8·
Arabic صَلَاة (ṣalāh) for prayer is cognate with Syriac (Aramaic) word for prayer ܨܠܘܬܐ (ṣlūṯā). Persian word for prayer namaz is cognate with Hindi word namaste, derived from Sanskrit namaha (bowing down). Languages connect us all.
Michael Wingert 𒀯 🏴‍☠️@MikeWingert

The #Syriac (#Aramaic) word of the day is ܨܠܘܬܐ (ṣlūṯā), "prayer." Pronounced "ṣlutho." Cognate with Arabic صَلَاة (ṣalāh) and Ge'ez ጸሎት (ṣälot); Jesus teaches us to pray in secret. #Assyrian #Aramaic #Languages #WOTD

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Raffi Hotter
Raffi Hotter@raffi_hotter·
This algorithm uses one of my favourite theorems in math, the Johnson-Lindentrauss Lemma, which says you can drastically reduce the dimensionality of n points to just log(n) dimensions and still preserve pairwise distances
Google Research@GoogleResearch

Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI

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Pradipta Mitra
Pradipta Mitra@pp_mitra·
@Saatvata This is astounding! Was khowab (as one says in Bengali) introduced from Persian or both forms were retained in Indo Aryan languages?
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Pradipta Mitra
Pradipta Mitra@pp_mitra·
Flash attention in a jiffy!
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