How to Prevent NPM Supply Chain Attacks in CI/CD Pipelines with Container Security
blog.qualys.com·21h
📦Dependency Analysis
Cuckoo hashing improves SIMD hash tables
reiner.org·2d·
🏗️Hash Tables
Autoreview: The Dragon Hatchling – The Missing Link Between the Transformer and
arxiviq.substack.com·2d·
Discuss: Substack
🪜Recursive Descent
Opti's Claude 4.5 Sonnet "vibe coding" report
stacker.news·1d
🔬Nanopasses
Why Microservices Are a Symptom, Not a Cure – and What the Future Looks Like
axx83.substack.com·2d·
Discuss: Substack
🌱Forth Kernels
MobileNetV2 Paper Walkthrough: The Smarter Tiny Giant
towardsdatascience.com·3d
🖥️Minimal VMs
Learning to Predict Chaos: Curriculum-Driven Training for Robust Forecasting of Chaotic Dynamics
arxiv.org·6h
🌱Minimal ML
Adaptive AI: Neural Networks That Learn to Conserve
dev.to·2d·
Discuss: DEV
🗺️Region Inference
Intel reportedly planning 12 Panther Lake SKUs, featuring 6-12 CPU cores and 4-12 Xe3 GPU Cores
videocardz.com·1d
🔮Speculative Execution
Taming Imperfect Process Verifiers: A Sampling Perspective on Backtracking
arxiv.org·1d
🎲Parser Fuzzing
Expand Neurons, Not Parameters
arxiv.org·6h
🗺️Region Polymorphism
What can go wrong when using database transactions?
mariadbfordevelopers.com·13h·
Discuss: DEV
🧠Memory Models
# Building Production-Ready LLM Applications: Introducing llama-app-generator
dev.to·16h·
Discuss: DEV
📋Tablegen
A Noise Resilient Approach for Robust Hurst Exponent Estimation
arxiv.org·6h
📐Succinct Data Structures
Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
arxiv.org·6h
🪜Recursive Descent
Generalization of LiNGAM that allows confounding
arxiv.org·6h
🌳Tree Diffing
Adaptive Bit-Error Rate Mitigation in QSFP28 Transceivers via Dynamic Digital Equalization
dev.to·14h·
Discuss: DEV
Control Synthesis
Web Performance Best Practices in 2025: A Developer’s Guide ⚡
dev.to·2d·
Discuss: DEV
🎮Language Ergonomics
Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
arxiv.org·6h
🌱Minimal ML
Turbocharge Your Diffusion LLMs: Adaptive Block Decoding for Peak Performance by Arvind Sundararajan
dev.to·5d·
Discuss: DEV
🪜Recursive Descent