Blender Foundation Annual Report 2024
blender.org·22h
📲Digitization
What’s new?
rhollick.wordpress.com·22h
📚MARC Archaeology
The Leviathan, the Hand, and the Maelstrom
arachnemag.substack.com·1d·
Discuss: Substack
🧲Magnetic Philosophy
Teen safety, freedom, and privacy
openai.com·7h·
Discuss: Hacker News
🔒Privacy Archives
Linux phones are more important now than ever
feddit.org·13h·
Discuss: Hacker News
🔌Operating system internals
A months of ad-free OSNews: we’re closing in on the fundraising goal, and need your help to get there
osnews.com·15h·
Discuss: Hacker News
🔓Free and open source
P2 Is the New Papercraft
noteflakes.com·3d·
Discuss: Hacker News
📄PostScript
AI Powered Memory Training Games – BrainFit
apps.apple.com·2d·
Discuss: Hacker News
🧠Intelligence Compression
Hackaday Links: September 14, 2025
hackaday.com·1d
🏠Homelab Archaeology
Linux Patches Posted For Enabling The Tenstorrent Blackhole SoC
phoronix.com·9h
🔌Operating system internals
The Nine Rules of AI PoC Success: How to Build Demos That Actually Ship
docker.com·1d
🌍Cultural Algorithms
Why Your A/B Test Winner Might Just Be Random Noise
towardsdatascience.com·1h
🧪Property-Based Testing
Fundamental limits on taming infectious disease epidemics
arxiv.org·9h
⧗Information Bottleneck
“A dare, a challenge, a bit of fun:” Children are hacking their own schools’ systems, says study
malwarebytes.com·3h
🔓Hacking
Five smart ways to share Tailscale with friends and family
tailscale.com·1d
🔗Tailscale
Physics-informed sensor coverage through structure preserving machine learning
arxiv.org·1d
🧠Machine Learning
Inclusive by design: Developing Barrier-Free Authentication for Blind and Low Vision Users through the ALIAS Project
arxiv.org·1d
✋Tactile Computing
Building an AI-Powered Chrome Extension with Kiro: From Tab Chaos to Organized Productivity
dev.to·19h·
Discuss: DEV
🌀Brotli Internals
3D Models That Explain Themselves
dev.to·13h·
Discuss: DEV
🌀Brotli Internals
Adapting Medical Vision Foundation Models for Volumetric Medical Image Segmentation via Active Learning and Selective Semi-supervised Fine-tuning
arxiv.org·9h
📊Learned Metrics