LA’s Museum of Jurassic Technology damaged by fire
arstechnica.com·16h
🕯️Wax Cylinders
A practical debugging guide for media driver developers
collabora.com·16h·
Discuss: Hacker News
🔍eBPF
We shouldn’t know the intimate details of the Coldplay CEO scanal – and it’s terrifying that we do
the-independent.com·1d
🚀Indie Hacking
How to Learn the Swift Source Code
blog.jacobstechtavern.com·16h·
Discuss: Hacker News
📜Proof Carrying Code
Dark Source, Dark Forest: Rethinking Open Source and Blockchain in the Age of AI
darksource.ai·1d·
Discuss: Hacker News, r/opensource
🔓Open Source Software
Making Sense of Hanlon's Razor
domofutu.substack.com·1h·
Discuss: Substack
🔲Cellular Automata
Rust Clippy performance status update
blog.goose.love·2d·
Discuss: Hacker News
🦀Rust Macros
Install Linters, Get Malware
c-b.io·1d·
Discuss: Hacker News
🛡️eBPF Security
The Sleazy, Unsettling Sounds of Mk.gee
newyorker.com·1d
🕯️Wax Cylinders
Cyber security of Mega Events: A Case Study of Securing the Digital Infrastructure for MahaKumbh 2025 -- A 45 days Mega Event of 600 Million Footfalls
arxiv.org·1d
🛡Cybersecurity
looking for a specific type of application
reddit.com·1d·
Discuss: r/homelab
🕸️WASM Archives
A Well-Designed Experiment Can Teach You More Than a Time Machine!
towardsdatascience.com·4h
🌡️Preservation Physics
Charlie’s Place Episode 1: Whispering Pines
atlasobscura.com·1d
🕯️Wax Cylinders
How the Right QMS Can Improve Agent Performance and Customer Experience
dev.to·22h·
Discuss: DEV
🌊Stream Processing
Python Fundamentals: class variables
dev.to·1d·
Discuss: DEV
🐛Fuzzing
Project-connex Decompositions and Tractability of Aggregate Group-by Conjunctive Queries
arxiv.org·2d
🎯Performance Proofs
Karlovy Vary 2025: Nothing Feels Normal
filmcomment.com·15h
📦MKV Containers
CROSS-GAiT: Cross-Attention-Based Multimodal Representation Fusion for Parametric Gait Adaptation in Complex Terrains
arxiv.org·1d
📊Learned Metrics
Mixture of Autoencoder Experts Guidance using Unlabeled and Incomplete Data for Exploration in Reinforcement Learning
arxiv.org·1d
🧠Machine Learning
Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need
arxiv.org·2d
🗺️Competency Maps