Shepherd × Goblins update
spritely.institute·2d
Effect Handlers
A Syzkaller Summer: Fixing False Positive Soft Lockups in net/sched Fuzzing
willsroot.io·1d·
🧪Binary Fuzzing
Go: Improving Example Visibility in pkgsite (pkg.go.dev)
matttproud.com·2d
🔄Reproducible Builds
Maintenance
nature.com·6h
🤖Tape Automation
Preventing the NPM Debug/Chalk Compromise in 200 lines of JavaScript
getvouchsafe.org·1d·
📦Package Managers
What Is a Modular Monolith And Why You Should Care? 🔥
thetshaped.dev·2d·
Discuss: r/programming
🧱Immutable Infrastructure
ACE and Diverse Generalization via Selective Disagreement
arxiv.org·2d
🧠Machine Learning
Automated Phage-Host Interaction Prediction via Multi-Modal Data Fusion and Graph Neural Networks
dev.to·12h·
Discuss: DEV
🕸️Graph Embeddings
APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction
arxiv.org·1d
🕳️Persistent Homology
GhostChat v2.0 – Local-first AI chat with IndexedDB persistence and offline
github.com·7h·
Discuss: Hacker News
🔄Sync Engine
Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities
arxiv.org·3d
🔍Vector Forensics
Research on Multi-hop Inference Optimization of LLM Based on MQUAKE Framework
arxiv.org·4d
💻Local LLMs
Building AI-Powered Revenue Management Systems with KaibanJS: A Developer's Guide
dev.to·18h·
Discuss: DEV
🎛️Feed Filtering
Designing user interfaces with bots not buttons
interconnected.org·1d·
Discuss: Hacker News
🖥️Terminal Renaissance
Unleashing AI Speed: Decoupling Perception for Blazing-Fast Robots by Arvind Sundararajan
dev.to·13h·
Discuss: DEV
🔲Cellular Automata
Predictive Patient Symptom Trajectory Modeling via Federated Reinforcement Learning
dev.to·20h·
Discuss: DEV
🤐Secure Multiparty
The Bug That Taught Me More Than Any Tutorial
dev.to·3d·
Discuss: DEV
👁️Observatory Systems
**Master Python Memory Management: 8 Essential Optimization Techniques for Performance**
dev.to·3d·
Discuss: DEV
🧠Memory Allocators
Live(r) Die: Predicting Survival in Colorectal Liver Metastasis
arxiv.org·13h
🧠Machine Learning
CLAPS: A CLIP-Unified Auto-Prompt Segmentation for Multi-Modal Retinal Imaging
arxiv.org·1d
🤖Advanced OCR