🚀 Dive headfirst into
#CRDTs with Jake's blog, where academic complexity is magically transformed into... more complexity 🤯. After a month at the Recurse Center, Jake heroically sorts through the chaos of math jargon to offer you the 'Last Write Wins' of tutorials—but don't worry, your sanity might win too 😂.
https://jakelazaroff.com/words/an-interactive-intro-to-crdts/ #JakeBlog #RecurseCenter #MathJargon #LastWriteWins #HackerNews #ngated
An Interactive Intro to CRDTs | jakelazaroff.com
CRDTs don't have to be all academic papers and math jargon. Learn what CRDTs are and how they work through interactive visualizations and code samples.
🤡 Oh joy, another riveting deep-dive into how prime numbers can solve world hunger while simultaneously making you a crypto millionaire. 📈🔗 Spoiler alert: Cunningham prime chains are about as exciting as watching paint dry, but with more math jargon to make your eyes glaze over. 💤
https://www.johndcook.com/blog/2026/01/10/prime-chains/ #primeNumbers #cryptoMillionaire #mathJargon #worldHunger #CunninghamPrimeChains #HackerNews #ngatedPrimecoin and Cunningham prime chains
Primecoin is a cryptocurrency whose mining task requires finding chains of prime numbers. It's a blockchain built on prime chains.
John D. Cook | Applied Mathematics ConsultingAnother day, another jargon-filled dissertation about Gaussian splatting that no one asked for. 🥱💤 A riveting read for those who find joy in decoding cryptic mathematical hieroglyphs—truly the comedy central of academic papers. 📜🤣
https://arxiv.org/abs/2502.14938 #GaussianSplatting #AcademicHumor #MathJargon #ResearchComedy #CrypticPapers #HackerNews #ngated
GS-Cache: A GS-Cache Inference Framework for Large-scale Gaussian Splatting Models
Rendering large-scale 3D Gaussian Splatting (3DGS) model faces significant challenges in achieving real-time, high-fidelity performance on consumer-grade devices. Fully realizing the potential of 3DGS in applications such as virtual reality (VR) requires addressing critical system-level challenges to support real-time, immersive experiences. We propose GS-Cache, an end-to-end framework that seamlessly integrates 3DGS's advanced representation with a highly optimized rendering system. GS-Cache introduces a cache-centric pipeline to eliminate redundant computations, an efficiency-aware scheduler for elastic multi-GPU rendering, and optimized CUDA kernels to overcome computational bottlenecks. This synergy between 3DGS and system design enables GS-Cache to achieve up to 5.35x performance improvement, 35% latency reduction, and 42% lower GPU memory usage, supporting 2K binocular rendering at over 120 FPS with high visual quality. By bridging the gap between 3DGS's representation power and the demands of VR systems, GS-Cache establishes a scalable and efficient framework for real-time neural rendering in immersive environments.
arXiv.org