Discord for Manifold
discord.gg·2d·
Discuss: Substack
🕸️Knowledge Graphs
Researchers identify critical vulnerabilities in automotive Bluetooth systems
cyberscoop.com·11h
💣ZIP Vulnerabilities
AI Will Never Be Your Kid’s ‘Friend’
theatlantic.com·15h
🔲Cellular Automata
Dystopian Otto
jacmullen.substack.com·3d·
Discuss: Substack
🧲Magnetic Philosophy
Being nostalgic for the past isn't the answer
tadaima.bearblog.dev·1d·
Discuss: Hacker News
💾vintage computing
Business Wire: "JEDEC Releases New LPDDR6 Standard to Enhance Mobile and AI Memory Performance"
businesswire.com·2d·
Discuss: Hacker News, r/hardware
🔧Hardware Verification
Iceberg, the Right Idea – The Wrong Spec – Part 2 of 2: The Spec
database-doctor.com·2d·
Discuss: Hacker News
🔧KAITAI
APIs and Agents: What Developers Need to Know
oreilly.com·11h
🔌Interface Evolution
The Next Wave
dumindu.github.io·1d·
Discuss: Hacker News, r/programming
🔩Systems Programming
Bujo.nvim – bullet journal accessible from anywhere
github.com·7h·
Discuss: Hacker News
⟷Bidirectional Programming
Thermodynamic Prediction Enabled by Automatic Dataset Building and Machine Learning
arxiv.org·23h
🧠Machine Learning
Time Series Foundation Models for Multivariate Financial Time Series Forecasting
arxiv.org·23h
📈Time Series
MongoDB Change Streams and Go
dev.to·2d·
Discuss: DEV
🌊Streaming Systems
The MacRumors Show: Apple's Big Plan for 5 New Vision Products
macrumors.com·10h
🍎Apple Archive
I created a programming language in Go with built-in BDD testing. Looking for feedback and contributors!
reddit.com·1d·
Discuss: r/golang
🔗Concatenative Programming
The cloud is not a chemical plant
berthub.eu·16h·
Discuss: Hacker News
🖥️Self-hosted Infrastructure
Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series
arxiv.org·23h
📈Time Series
Conversational AI Is Rewriting Education and Work
dev.to·2d·
Discuss: DEV
🎙️Whisper
MCP Deep Dive: the Great, the Broken, and the Downright Dangerous
dev.to·2d·
Discuss: DEV
⚡gRPC
KPFlow: An Operator Perspective on Dynamic Collapse Under Gradient Descent Training of Recurrent Networks
arxiv.org·1d
🧠Machine Learning