Networking for Systems Administrators
mwl.io·1d·
Discuss: Hacker News
🌐DNS over QUIC
Show HN: Requests-Based Google Maps Scraper
apify.com·19h·
Discuss: Hacker News
🔍BitFunnel
The Nature of Lisp, Code Generation and Wieldable Programming Power
pankajpipada.com·1d·
Discuss: Hacker News, r/programming
🔗Lisp
The collective waste caused by poor documentation
shanrauf.com·1d·
Discuss: Hacker News
📦Deflate
Small language model for secrets detection
wiz.io·3d·
Discuss: Hacker News
💻Local LLMs
Passwordless Auth: a JSON-Based Approach for modern authentication w/ SSSD & GNOME - DevConf.CZ 2025
youtube.com·7h
🔓Password Cracking
Explicit Constructions of Sum-Rank Metric Codes from Quadratic Kummer Extensions
arxiv.org·2d
🔢Reed-Solomon Math
Building a Real-World Context-Aware Movie Chatbot Using Amazon Bedrock - Nova Pro
dev.to·19h·
Discuss: DEV
🎙️Whisper
Amal’s First Switch Equation: Clean FizzBuzz with Bitmask Logic
dev.to·1h·
Discuss: DEV
🌊Stream Ciphers
Which AI is the strongest at writing code?
dev.to·1d·
Discuss: DEV
⚡Proof Automation
Hypercubical manifolds in homotopy type theory
arxiv.org·1d
🔶Cubical Type Theory
Scalable Machine Learning Algorithms using Path Signatures
arxiv.org·2d
🧠Machine Learning
Analysis of Scheduling schemes based on Carrier Aggregation in LTE-Advanced and their improvement
arxiv.org·1d
📡Network Calculus
Floating-Point Data Transformation for Lossless Compression
arxiv.org·2d
🌊Streaming Compression
LARP: Learner-Agnostic Robust Data Prefiltering
arxiv.org·11h
💻Local LLMs
8 Essential Python Patterns for Building Bulletproof APIs That Scale
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
C++ Seeding Surprises (2015)
pcg-random.org·23h·
Discuss: Hacker News
🔢Bitwise Algorithms
RL-Driven Semantic Compression Model Selection and Resource Allocation in Semantic Communication Systems
arxiv.org·2d
⧗Information Bottleneck
Distribution of codewords on the faces of a hypercube and new combinatorial identities
arxiv.org·2d
⚽Sphere Packing
Using Wavelets and Clustering to Predict Odd or Even Numbers: An Overengineered Approach with Pretty (But Confusing) Plots
dev.to·1d·
Discuss: DEV
🧠Machine Learning