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🤖 Lisp Machines

Symbolics, MIT AI Lab, Historical Computing, Interactive Programming

AI for Linux Troubleshooting: Your New Command Line Ally
infosecwriteups.com·1d
🐚Bash Monads
Intelligent Document Creation: Generate PDFs with AI in pdfAssistant.ai
pdfa.org·2d
📄Document Digitization
AI Security Risks: When Models Lie, Blackmail, and Refuse to Shut Down
lmgsecurity.com·2d
🎯Threat Hunting
Robotic Arm “Feels” Using Sound
spectrum.ieee.org·9h·
Discuss: r/technews
✋Tactile Computing
Backpropagation's Biological Incarnation Is Consciousness Itself
dmf-archive.github.io·1d·
Discuss: Hacker News
🔲Cellular Automata
Slightly better named character reference tokenization than Chrome, Safari, and Firefox
ryanliptak.com·2d·
Discuss: Lobsters, Hacker News
🌳Trie Structures
Building static websites for dummies (2024)
kirancodes.me·5h·
Discuss: Hacker News
🌀Brotli Internals
Generative AI Model Data Pre-Training on Kubernetes: A Use Case Study - DevConf.CZ 2025
youtube.com·2d
🌊Streaming Systems
SwiftNet – C networking library (macOS-only for now, needs Linux testers)
github.com·1d·
Discuss: Hacker News, r/opensource
🌐NetworkProtocols
Learning Lineage Constraints for Data Science Operations
arxiv.org·4d
🏺Database Archaeology
Edge Clique Partition and Cover Beyond Independence
arxiv.org·1d
🕸️Graph Algorithms
Introducing Zenoscript
dev.to·1d·
Discuss: DEV
🎯Gradual Typing
7 Python Caching Strategies That Boost Application Performance by 70%
dev.to·1d·
Discuss: DEV
⚡Redis Internals
Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher
arxiv.org·1d
🧠Neural Codecs
Frontend Development Trends in 2025: What Every Developer Should Know
dev.to·1d·
Discuss: DEV
🔌Interface Evolution
Tech Layoffs Continue Amid AI Shift: A Deep Dive into the Changing Landscape of Employment
dev.to·4h·
Discuss: DEV
🌊Stream Processing
Python course: Functions
dev.to·2d·
Discuss: DEV
🔗Lisp
Making Ansible Snappy, Quiet, and Friendly: A Dev’s Guide to `ansible.cfg`
dev.to·5h·
Discuss: DEV
🤖Network Automation
Flame Graph Performance Truth Analysis(1750918443851900)
dev.to·2d·
Discuss: DEV
⚡Performance Tools
Machine Learning Fundamentals: adam optimizer example
dev.to·2d·
Discuss: DEV
📊Quantization
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