Gabriele Bartolini: CNPG Recipe 22 - Leveraging the New Supply Chain and Image Catalogs
gabrielebartolini.it·2d
🗑️Stack Scanning GC
Hosting a static site on an original Raspberry Pi [Alpine Linux "diskless" mode]
cablespaghetti.dev·14h·
Discuss: Hacker News
📊perf Tools
Medium Android App — Migrating from Apollo Kotlin 3 to 4: Lessons Learned
medium.engineering·3d
🔗Weak References
Ask HN: Systems Development Path
news.ycombinator.com·4d·
Discuss: Hacker News
🦀MIR Optimization
Googles CodeMender is designed to automatically find and fix security flaws in software
the-decoder.com·1d
🎭Program Synthesis
Tracing large job failures to serial console bottlenecks from OOM events
cep.dev·1d
🔧Error Recovery
RAII Explained: Why C++ Doesn't Need a Garbage Collector
dev.to·1d·
Discuss: DEV
🔗Weak References
Long-term drift behavior in metal oxide gas sensor arrays: a one-year dataset from an electronic nose
nature.com·18h
Effect Inference
Location Verification Becomes Much Bigger Concern For Chips
semiengineering.com·2h
🔗Hash Functions
SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization
github.com·1d·
Discuss: Hacker News
Tokenizer Optimization
Show HN: AI code reviewer that analyzes cross-module impacts
news.ycombinator.com·20h·
Discuss: Hacker News
🔪Program Slicing
Fine-tuning SmolAgents using Tools with Reinforcement Learning
github.com·1d·
Discuss: DEV
Gleam
Bird of Prey: Practical Signature Combiners Preserving Strong Unforgeability
eprint.iacr.org·2d
Fusion Laws
Building a CUDA-Accelerated Neural Network Library in Rust
dev.to·4d·
Discuss: DEV
🦀MIR Optimization
Kubernetes v1.34 Introduces Benefits but Also New Blind Spots
thenewstack.io·1d
🛡️Capability VMs
RAG Chunking Strategies That Actually Work (and Why Most Don’t)
dev.to·2d·
Discuss: DEV
🚀Tokenizer Performance
Enhanced Stochastic Pathway Mapping for Cellular Heterogeneity Modeling via Adaptive MCMC
dev.to·20h·
Discuss: DEV
Effect Inference
Accelerated Corrosion Prediction via Dynamic Feature Fusion and Bayesian Uncertainty Quantification
dev.to·1d·
Discuss: DEV
Effect Inference
Valid Stopping for LLM Generation via Empirical Dynamic Formal Lift
arxiv.org·5h
🧪Parser Testing