Condition numbers for HMC and the funnel
statmodeling.stat.columbia.edu·10h
🧮Kolmogorov Bounds
From SQL to AI: A 5-Step Playbook for Replacing 'Trending' with a Smart Ranking API
shaped.ai·1d
📡RSS Automation
What can I do with 4 or 8 256gb Samsung Sata SSDs?
reddit.com·1h·
Discuss: r/homelab
🔌Operating system internals
Faster, more memory-efficient performance in Grafana Mimir
grafana.com·22h·
Discuss: Hacker News
🗄️Database Internals
Nanoscale Chromatin Dynamics Mapping via Adaptive Super-Resolution Microscopy and Deep Learning Reconstruction
future.forem.com·4h·
Discuss: DEV
💎Information Crystallography
Securing Node.js development environment with AppArmor
dmitrychekanov.com·1d·
Discuss: Hacker News
🛡️CLI Security
Buy Verified Coinbase Accounts for Global Crypto Investors
dev.to·9h·
Discuss: DEV
✅Checksum Validation
My Experience Publishing to the Official MCP Registry - Is It Worth It Right Now?
dev.to·1d·
Discuss: DEV
🏺ZIP Archaeology
Introducing RecoverCheck: A Golang Linter to catch goroutines that don't have recover attached to it.
reddit.com·14h·
Discuss: r/golang
⬆️Lambda Lifting
AI Coding - Best Practices in 2025
dev.to·3h·
Discuss: DEV
⚡Proof Automation
Emergent Alignment via Competition
arxiv.org·1h
🔲Cellular Automata
Clean Code: Repository per type or adapter per technology?
reddit.com·1d·
Discuss: r/golang
🏛️OAIS Implementation
Python Logging vs Print - Why Logging Is Better for Debugging
dev.to·22h·
Discuss: DEV
📝Log Parsing
Automated Stellar Population Synthesis & Dynamical Evolution Modeling for Galactic Archaeology
dev.to·12h·
Discuss: DEV
🏺Computational Archaeology
🗺️ Go Maps Deep Dive — Part 1: The Secrets Behind O(1) Performance, Overflows, and Growth
dev.to·1d·
Discuss: DEV
⚡Redis Internals
Reasoning Efficiently Through Adaptive Chain-of-Thought Compression: A Self-Optimizing Framework
arxiv.org·1d
🏗️Compiler Archaeology
libicns v0.8.1 Heap Buffer Overflow in libicns ICNS Parsing (icns2png)
seclists.org·3d
✅Format Verification
Data Governance In Advertising Technology: Enhancing Campaign Performance Through Better Data
hackernoon.com·1d
🔗Data Provenance
A Domain Knowledge Informed Approach for Anomaly Detection of Electric Vehicle Interior Sounds
arxiv.org·1d
🎵Audio ML
CECT-Mamba: a Hierarchical Contrast-enhanced-aware Model for Pancreatic Tumor Subtyping from Multi-phase CECT
arxiv.org·2d
🧠Machine Learning