Tinkering with Dongles | Why Framework Needs the DongleHider+ Expansion Card
cubiclenate.com·1d
🖥️Modern Terminals
A Kevin week
blog.mitrichev.ch·2d·
Discuss: blog.mitrichev.ch
📐Linear Algebra
Alarm and Overload
novum.substack.com·1d·
Discuss: Substack
📡Feed Security
Revealing Errors: Errors that reveal the technology around us
revealingerrors.com·2d·
Discuss: Hacker News
🧲Magnetic Philosophy
Apertus: An open, transparent, multilingual language model
robohub.org·1d·
Discuss: Hacker News
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
How I became a machine learning practitioner (2019)
blog.gregbrockman.com·2d·
Discuss: Hacker News
🔩Systems Programming
Last Quarter on My Mac: Which apps for macOS Tahoe?
eclecticlight.co·3d
🔌Operating system internals
Show HN: Let the internet control your framed e-ink display
github.com·5d·
Discuss: Hacker News
🔌Single Board PC
Gemini tops App Store; Grok 4 Fast ships; ChatGPT gets harder to trick
lightcapai.medium.com·3d·
Discuss: Hacker News
🌀Brotli Internals
Early bears were omnivores: Three-dimensional jaw analyses reveal diet
phys.org·2h
🦴Binary Paleontology
Ultimate Outdoors discount codes for September 2025
the-independent.com·2h
⏳Time Capsule Networks
Watch out, Sony and Canon – Nikon says it’s making cinema lenses for its ZR camera and filmmakers should be excited
techradar.com·2d
📦Digital Cinema Package
Hyper-Spectral Anomaly Detection via Iterative Markov-Chain Refinement
dev.to·2h·
Discuss: DEV
🌸Bloom Variants
Survival at Any Cost? LLMs and the Choice Between Self-Preservation and Human Harm
arxiv.org·1d
🔲Cellular Automata
Science communication is a conversation, not a script
phys.org·2h
📡RSS
Kindred and Co-located Events: PARBICA 21 Demystifying Digital
ipres2025.nz·2d
🏛️Nordic Archives
LangChain, LangGraph, and LangSmith: Untangling the Confusion
dev.to·2d·
Discuss: DEV
✨Effect Handlers
Liquid Glass Could Be One of Apple's Most Divisive System Designs Yet
wired.com·2d·
Discuss: r/technews
🖥️Vintage Macintosh
Efficient Cold-Start Recommendation via BPE Token-Level Embedding Initialization with LLM
arxiv.org·12h
🎯Content Recommendation
FACTORS: Factorial Approximation for Complementary Two-factor Optimization with Risk-aware Scoring
arxiv.org·1d
🧠Machine Learning