OpenStick - wvthoog.nl
wvthoog.nl·22h
🔌Operating system internals
Internet Phone Book
naiveweekly.com·3d
📰RSS Reading Practices
Building my own ArdSCSIno
leadedsolder.com·1d
🎮Switch Archaeology
A Pitfall of "Expertise"
justismills.substack.com·1d·
Discuss: Substack
🔬Lean
(Sponsor) Transform Articles Into Podcasts with ListenLater.net
sixcolors.com·1d
📡RSS Readers
IETF Draft: Authenticated Transfer Repo and Sync Specification
ietf.org·1d·
Discuss: Hacker News
🌳Archive Merkle Trees
When Technical Products Outgrow Non-Technical Leadership
guptadeepak.com·2d·
Discuss: Hacker News
🖥️Modern Terminals
#RecessionIndicators: Is there truth behind the TikToks?
euronews.com·1d
🎯Recommendation Metrics
Christopher Spence: A Journey of Innovation and Leadership in Education
dev.to·1d·
Discuss: DEV
🔗Data Provenance
Meta leaked its own announcement about its new smart glasses display
businessinsider.com·1d
⏱️SMPTE Timecode
I want to do experiments but it's not cheap
chillphysicsenjoyer.substack.com·1d·
Discuss: Substack
⚙️DIY Electronics
ChatGPT: Why do most of your users ask for help writing - prose, not code?
theregister.com·22h·
Discuss: Hacker News
🎙️Whisper
"If you change the format, you change a huge amount": Dyson engineer on why the revamped V8 vacuum has an old-school design
techradar.com·1d
🎵8-track Revival
This Top-Rated 2K Wireless Video Doorbell Is Over 50% Off Right Now
lifehacker.com·15h
🏠Home Automation
Incongruent Positivity: When Miscalibrated Positivity Undermines Online Supportive Conversations
arxiv.org·2d
🎛️Feed Filtering
Human-AI Collaboration Increases Efficiency in Regulatory Writing
arxiv.org·2d
🧠Intelligence Compression
Hollow Knight: Silksong is a masterful, daring follow-up that’s destined to be misunderstood for years to come
techradar.com·1d
🕹️Retro Gaming
Building Production-Ready AI Agents with CrewAI and Amazon Bedrock AgentCore
dev.to·1d·
Discuss: DEV
🌊Streaming Systems
Shielded Minds: Unleashing Private LLM Inference by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
💻Local LLMs
Clarifying Model Transparency: Interpretability versus Explainability in Deep Learning with MNIST and IMDB Examples
arxiv.org·1d
💻Local LLMs