PipeWire 1.4.6 Improves Latency Reporting
linuxiac.com·1d
🌊Streaming Systems
Spark AI (YC W24) is hiring a full-stack engineer in SF (founding team)
ycombinator.com·1d·
Discuss: Hacker News
🌀Brotli Internals
Cross-Compiling 10,000+ Rust CLI Crates Statically
blog.pkgforge.dev·2d·
Discuss: Lobsters, Hacker News
🦀Rust Macros
Slouching Towards Sensemaking
karanchawla.io·56m·
Discuss: Hacker News
🧲Magnetic Philosophy
Show HN: AppifyText – AI text-to-app tool that builds internal tools
appifytext.ai·1d·
Discuss: Hacker News
🎙️Whisper
What is LZW compression?
dev.to·1d·
Discuss: DEV
🗜️LZW Variants
Next Generation of Red Teaming for LLM Agents
promptfoo.dev·2d·
Discuss: Hacker News
⚡Proof Automation
Never Underestimate Memory Architecture - Bryan Boreham, Grafana Labs
youtube.com·2d
🌊Stream Processing
Mastering Dijkstra's Algorithm in C++ with CXXGraph
medium.com·2d·
Discuss: Hacker News
📐E-graphs
Intelligent Book Discovery with Book Aura & MindsDB
dev.to·23h·
Discuss: DEV
🕸️Knowledge Graphs
Progressive Size-Adaptive Federated Learning: A Comprehensive Framework for Heterogeneous Multi-Modal Data Systems
arxiv.org·2d
🧠Machine Learning
Agentic AI: Implementing Long-Term Memory
towardsdatascience.com·4d
💾Persistence Strategies
Scaling Pinterest ML Infrastructure with Ray: From Training to End-to-End ML Pipelines
medium.com·4d·
Discuss: Hacker News
🧮Z3 Applications
Understanding the System 3: Databases
dev.to·2d·
Discuss: DEV
🗄️Database Internals
🧠 Solving LeetCode Until I Become Top 1% — Day `31`
dev.to·2d·
Discuss: DEV
🔢Bitwise Algorithms
From Manual Testing Hell to Automated Paradise: How Keploy Revolutionized My Testing Workflow
dev.to·1d·
Discuss: DEV
🔍Concolic Testing
Devlog #1 ahhhhh it's a snake
dev.to·33m·
Discuss: DEV
🔩Systems Programming
Temporal-IRL: Modeling Port Congestion and Berth Scheduling with Inverse Reinforcement Learning
arxiv.org·4d
🔲Cellular Automata
AMD Keeps Building Momentum in AI, with Plenty of Work Still to Do
forbes.com·15h·
Discuss: Hacker News
🖥️Modern Terminals
U-R-VEDA: Integrating UNET, Residual Links, Edge and Dual Attention, and Vision Transformer for Accurate Semantic Segmentation of CMRs
arxiv.org·2d
🌀Riemannian Computing