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⚡ Circuit Archaeology

Hardware Recovery, Component Analysis, Board Reverse Engineering, Vintage Electronics

The Tim Cook era: 14 years of products, profits, and politics (Macworld/Jason Snell)
macworld.com·1d
🍎Apple Computing
How much power does gzip save on IoT web access?
bitbanksoftware.blogspot.com·3d·
Discuss: Lobsters, Hacker News
📦Deflate
Psychological Flaws That Keep the Gifted from Living Up to Their Gift
themarginalian.org·6h·
Discuss: Hacker News
⚖️Emulation Ethics
Get Ahead of the HIPAA Security Rule Update With Secure Workload
blogs.cisco.com·1d
🎯Threat Hunting
The Power Is in the Network
morrisbrodersen.de·4h·
Discuss: Hacker News
🏰Medieval Networks
'Martin's mess exposed - but when will it end?'
bbc.com·10h
🗃archives
Forgotten WW2 bombs exploding amid moorland blaze
bbc.com·1d
🔍Tape Forensics
Tesla teases major launch for tomorrow – and it looks like it could be the new Model Y Performance
techradar.com·2h
🖥️Modern Terminals
Fear not, even AI engineers will be replaced by AI
doch88.github.io·4d·
Discuss: Hacker News
🔍Vector Forensics
Google’s Gemini app is getting better at editing photos – here’s what I liked, and what I didn’t
techradar.com·8h
🗜️LZW Variants
Why America Isn’t Rome (And Why That Matters)
theatlantic.com·1d
🧲Magnetic Philosophy
Launching DataLoom – A RevOps layer for early stage startups
news.ycombinator.com·1d·
Discuss: Hacker News
🌊Apache Kafka
very worrying: Possibly fake Micron 9550 Pro 30.2Tb drive.
reddit.com·6d·
Discuss: r/homelab
🔒Secure Boot
GhostBSD 25.02-R14.3p2 Released with Gershwin Desktop Preview
discoverbsd.com·2d
🔌Operating system internals
VMware Cloud Foundation Is Now an AI-Native Platform
thenewstack.io·2d
🏠Homelab Orchestration
The new Framework Laptop 16 with Nvidia
frame.work·2d·
Discuss: Hacker News
🖥️Modern Terminals
Systematic LLM Prompt Engineering Using DSPy Optimization
towardsdatascience.com·3d
⚡Proof Automation
[Build] 3× Mac minis + 10G NAS k8s cluster. Feedback wanted
i.redd.it·4d·
Discuss: r/homelab
🏠HomeLab
Applying SOLID Principles in Go
dev.to·1d·
Discuss: DEV
💧Liquid Types
LLM-Driven Intrinsic Motivation for Sparse Reward Reinforcement Learning
arxiv.org·1d
💻Local LLMs
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