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⚡ CPU Microarchitecture

Pipeline Design, Branch Prediction, Cache Hierarchy, Superscalar

Google’s Gemini 2.5 now supports "conversational image segmentation"
the-decoder.com·5h
🤖Advanced OCR
Cactus Language • Pragmatics 1
inquiryintoinquiry.com·5h
💻Programming languages
Speeding up zsh and Oh-My-Zsh (2018)
blog.jonlu.ca·1d·
Discuss: Hacker News
⌨️Terminal Customization
Canadian Cross
en.wikipedia.org·3d·
Discuss: Hacker News
🏗️Compiler Archaeology
You Might Not Need LangChain for Your Next AI App
shuvrojit.substack.com·2d·
Discuss: Substack
🌀Brotli Internals
[P] Echoes of GaIA: modeling evolution in biomes with AI for ecological studies.
reddit.com·1d·
Discuss: r/MachineLearning
🔲Cellular Automata
Arch Linux users told to purge Firefox forks after AUR malware scare
theregister.com·2h
🔌Operating system internals
2025 One Hertz Challenge: A 555, but not as we know it
hackaday.com·40m
⚙️Cassette Mechanics
Figgie Auto: An algorithmic sandbox for Jane Street's game, "Figgie"
github.com·6h·
Discuss: Hacker News
🔲Cellular Automata
Gold clusters mimic atomic spin properties for scalable quantum computing applications
phys.org·1h
⚛️Quantum Tape
Google Debuts OSS Rebuild Project
linuxiac.com·10h
🔓Open Source Software
Python Fundamentals: class variables
dev.to·1d·
Discuss: DEV
🐛Fuzzing
Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment
arxiv.org·16h
🎙️Whisper
One Step is Enough: Multi-Agent Reinforcement Learning based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms
arxiv.org·16h
🔲Cellular Automata
Off-Policy Corrected Reward Modeling for Reinforcement Learning from Human Feedback
arxiv.org·16h
🤖Grammar Induction
My first homelab: specs, project ideas and what I did so far
preview.redd.it·1d·
Discuss: r/homelab
🏠HomeLab
HOLa: Zero-Shot HOI Detection with Low-Rank Decomposed VLM Feature Adaptation
arxiv.org·16h
📊Learned Metrics
Machine Learning Fundamentals: dropout project
dev.to·4d·
Discuss: DEV
🌊Stream Processing
Building Bod.Coach: LLM Lessons Learned The Hard Way.
dev.to·1h·
Discuss: DEV
💻Local LLMs
Kolmogorov Arnold Networks (KANs) for Imbalanced Data -- An Empirical Perspective
arxiv.org·1d
🧠Machine Learning
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