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🧠 Learned Compression

Neural Codecs, Deep Learning, Entropy Models, Rate-Distortion

Best Back To School Tech Deals 2025: Best essential tech bargains for the new school year
tomshardware.comΒ·1d
πŸ”ŒOperating system internals
English Writes Numbers Backwards
turntrout.comΒ·1dΒ·
Discuss: Hacker News
🎯Arithmetic Coding Theory
Open-Source RISC-V Peripheral Challenge
tinytapeout.comΒ·1dΒ·
Discuss: Hacker News
πŸ”ŒSingle Board PC
Understanding Muon: A Revolutionary Neural Network Optimizer
glorious-potato-19.notion.siteΒ·3dΒ·
Discuss: Hacker News
πŸ“ŠQuantization
I like the Nothing Phone 3, but I love the company's Headphones 1 – they're my top tech of 2025 (so far)
techradar.comΒ·1h
πŸ‘‚Psychoacoustics
Trump's AI plan says a lot about open source – but here's what it leaves out
zdnet.comΒ·1dΒ·
Discuss: Hacker News
πŸ”“Open Source Software
Dynamic disks, switch them too
reddit.comΒ·1dΒ·
Discuss: r/linux
πŸ’½Floppy disks
Signal vs. Noise: How AI Slop Kills Conversation
eric.mann.blogΒ·2dΒ·
Discuss: Hacker News
πŸ“°Content Curation
The unsolved tension at the heart of AI
tushardadlani.comΒ·3dΒ·
Discuss: Hacker News
πŸ”²Cellular Automata
Show HN: WTMF Beta – Your AI bestie that understand
news.ycombinator.comΒ·11hΒ·
Discuss: Hacker News
πŸŽ™οΈWhisper
Principles of Using AI Professionally
dominiek.substack.comΒ·3dΒ·
Discuss: Substack
πŸ’»Local LLMs
Your Money, Their Syntax: How LLMs Write Trust into Empty Crypto Promises
dev.toΒ·1dΒ·
Discuss: DEV
πŸ“‹Document Grammar
IConMark: Robust Interpretable Concept-Based Watermark For AI Images
arxiv.orgΒ·5d
πŸ’§Digital Watermarking
True Multimodal In-Context Learning Needs Attention to the Visual Context
arxiv.orgΒ·4d
πŸ“ŠLearned Metrics
Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training
arxiv.orgΒ·4d
πŸ€–Grammar Induction
Advanced PDF Optimization Techniques - 1753001
dev.toΒ·6dΒ·
Discuss: DEV
πŸ“¦Deflate
Benefits and pitfalls of Vibe coding: navigating the AI-assisted era
dev.toΒ·2dΒ·
Discuss: DEV
✨Effect Handlers
Mixture of Autoencoder Experts Guidance using Unlabeled and Incomplete Data for Exploration in Reinforcement Learning
arxiv.orgΒ·4d
🧠Machine Learning
πŸš€ Smart Dev Productivity Hub: AI-Powered Insights & Automation for Developers
dev.toΒ·1dΒ·
Discuss: DEV
πŸ¦€Rust Macros
πŸš€ Tube Magic Alternatives That Don’t Suck (I Tried Them So You Don’t Have To)
dev.toΒ·4hΒ·
Discuss: DEV
πŸ—œοΈLZW Variants
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