Google launches Gemma 3n, a multimodal AI model built for real-time use on mobile devices
the-decoder.com·20h
🌀Brotli Internals
Has AI made “learn to code” obsolete?
freethink.com·26m
🔄Language Evolution
Show HN: A game from LinkedIn zip game
zipgame.net·20h·
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🏺ZIP Archaeology
Homelab noob - need help
reddit.com·14h·
Discuss: r/homelab
🏠HomeLab
A Practical Mid-Side Decoder Circuit
paia.com·10h·
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🎛️Cassette DSP
Claude Code Commands Directory
claudecodecommands.directory·14h·
Discuss: Hacker News
🪟Awesome windows command-line
Speeding up sideeffects with JIT in mountaineer
pierce.dev·1d·
Discuss: Hacker News
🦀Rust Macros
Announcing crabstep: A pure Rust, cross-platform, zero-dependency Apple/NeXTSTEP typedstream deserializer
github.com·2d
🔒Linear Types
From Detection to Response: The Power of SOC Solutions
infosecwriteups.com·42m
🚨Incident Response
I Built a Fun Airport Code Quiz Using AI Tools — No Code Background, Just Curiosity ✈️
dev.to·16h·
Discuss: DEV
🔗Concatenative Languages
Evolution and determinants of firm-level systemic risk in local production networks
arxiv.org·1d
🧠Machine Learning
Flame Graph Performance Truth Analysis（1750991459477100）
dev.to·1d·
Discuss: DEV
⚡Performance Tools
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management
arxiv.org·2d
🤖Advanced OCR
Quantum-Classical Hybrid Quantized Neural Network
arxiv.org·4d
📊Quantization
Accurate and Energy Efficient: Local Retrieval-Augmented Generation Models Outperform Commercial Large Language Models in Medical Tasks
arxiv.org·2d
🌀Brotli Internals
HMSViT: A Hierarchical Masked Self-Supervised Vision Transformer for Corneal Nerve Segmentation and Diabetic Neuropathy Diagnosis
arxiv.org·3d
🧠Machine Learning
Python Fundamentals: asyncpg
dev.to·21h·
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🌊Stream Processing
Day 6/100: Numbers, Arithmetic, and Type Conversion
dev.to·19h·
Discuss: DEV
🧮Algebraic Datatypes
Persona-Assigned Large Language Models Exhibit Human-Like Motivated Reasoning
arxiv.org·2d
🎯Dependent Parsing
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
arxiv.org·2d
🧠Intelligence Compression