Give me AI slop over human sludge any day
world.hey.com·1d
📰RSS Archaeology
Exchange Online Gets Tenant-Wide External Recipient Rate Limit
practical365.com·1d·
Discuss: Hacker News
🔍BitFunnel
Notes on running postmarketOS on a OnePlus 6
neilzone.co.uk·4h·
Discuss: Hacker News
🛡️ARM TrustZone
Paying AIs to Read My Books
kevinkelly.substack.com·20h·
Discuss: Substack
📚MARC Evolution
Oakland issued checks to police officers, city workers who had personal info exposed in ransomware attack
mercurynews.com·20h
🚨Incident Response
TITLE: The Ultimate Guide to Bluetooth Trackers in 2025: Find Your Perfect Match
dev.to·1d·
Discuss: DEV
📡Bluetooth Archaeology
TechWorld with Nana: Kafka Crash Course - Hands-On Project
dev.to·1d·
Discuss: DEV
🌊Apache Kafka
Getting ready for Sega 8
dev.to·1d·
Discuss: DEV
🕹️Retro Gaming
The Illnesses of Basic Biomedical Science, Continued: Scientific Publishing
nakedcapitalism.com·2h
🎓Academic Torrents
We built an open source SLURM replacement for ML training workloads built on SkyPilot, Ray and K8s.
reddit.com·1d·
Discuss: r/kubernetes
🌊Streaming Systems
Precision Inertial Navigation via Multi-Modal Sensor Fusion and Adaptive Kalman Filtering
dev.to·1d·
Discuss: DEV
🌊Stream Processing
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG
Seagate Soars On HAMR Hopes, But Risk-Reward Has Flipped (Rating Downgrade)
seekingalpha.com·8h
💿Disk Geometry
YouTube Smart AI Uploader: Automating Content Publishing with AI
dev.to·3d·
Discuss: DEV
🌀Brotli Internals
A simple CLI tool to run network tests from locations
github.com·3d·
Discuss: Hacker News
🏠Homelab Pentesting
Python 3.14 Released with Template String Literals, Deferred Annotations, and
socket.dev·15h·
Discuss: Hacker News
💧Liquid Types
Building Smart Workflows with the Microsoft Agent Framework-Part -I
dev.to·9h·
Discuss: DEV
🌊Stream Processing
Wavelet Predictive Representations for Non-Stationary Reinforcement Learning
arxiv.org·1d
🧠Machine Learning
Will Websites Soon Have Their Own Personalities?
dev.to·1d·
Discuss: DEV
🎯Content Recommendation
Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection
arxiv.org·9h
🧠Machine Learning