Why IT teams under pressure are looking to access logs for answers
cybersecuritydive.comΒ·44m
🎯Threat Hunting
I reviewed the Beelink ME mini - and while it won’t serve as the dual-purpose mini PC it wants to be, it's a great alternative solid-state server
techradar.comΒ·1d
πŸ”ŒOperating system internals
Why I'm excited about effect systems
osa1.netΒ·2d
✨Algebraic Effects
Mental Models and Potemkin Understanding in LLMs
alangrow.comΒ·1d
πŸ”²Cellular Automata
Inside the vLLM Inference Server: From Prompt to Response
thenewstack.ioΒ·2d
πŸ’»Local LLMs
AI videos have never been better: can you tell what's real?
nytimes.comΒ·13hΒ·
Discuss: Hacker News
🏺Media Archaeology
Best Open-Source Embedding Models Benchmarked and Ranked
supermemory.aiΒ·2dΒ·
Discuss: Hacker News
βš™οΈCompression Benchmarking
From 0β†’βˆž: My PhD Lessons on Innovating User-Centric ML Systems
amberljc.github.ioΒ·3dΒ·
Discuss: Hacker News
🧭Content Discovery
Working with an AI Pair Programmer: Top Tips for Solo Developers and Teams
dev.toΒ·2dΒ·
Discuss: DEV
πŸ”„Language Evolution
On Union-Closedness of Language Generation
arxiv.orgΒ·6d
πŸ”—Monadic Parsing
Advanced Path of Network Programming Deep Exploration from TCP to Application Layer Protocols（1751175401040400οΌ‰
dev.toΒ·1dΒ·
Discuss: DEV
🌐Network Protocols
Efficient Reporting: Query Caching and Big Data Report Generation with Queues
dev.toΒ·1dΒ·
Discuss: DEV
🌊Streaming Systems
a loop is all you need: building conversation ai agents
dev.toΒ·16hΒ·
Discuss: DEV
πŸ”²Cellular Automata
Meet Potion: Your Smart Note-Taking Companion
dev.toΒ·6hΒ·
Discuss: DEV
πŸŒ€Brotli Internals
Can Peter Pan Survive MT? A Stylometric Study of LLMs, NMTs, and HTs in Children's Literature Translation
arxiv.orgΒ·5h
πŸ”€Character Classification
Machine Learning Fundamentals: adam optimizer example
dev.toΒ·3dΒ·
Discuss: DEV
πŸ“ŠQuantization
Programming Entry Level: guide entry level job
dev.toΒ·12hΒ·
Discuss: DEV
πŸ”©Systems Programming
Building A Wallet System - Part 1: Authentication with Apollo Server
dev.toΒ·2dΒ·
Discuss: DEV
πŸ”ŒInterface Evolution
Structuralist Approach to AI Literary Criticism: Leveraging Greimas Semiotic Square for Large Language Models
arxiv.orgΒ·3d
πŸ“œDigital Philology
The Building Blocks - Understanding MCP, Agents, and LLMs (Part 2/5)
dev.toΒ·2dΒ·
Discuss: DEV
πŸ”—Constraint Handling