Locality, and Temporal-Spatial Hypothesis
brooker.co.za·2d·
Discuss: Hacker News
💾Persistent Heaps
Why Over-Caching Can Be Just as Bad as No Caching
hackernoon.com·4d
🔗Weak References
Self-Hosted HDD Health Alerts using n8n and ntfy
noted.lol·15h
⚡Live Programming
Hypernetworks: Neural Networks for Hierarchical Data
sturdystatistics.com·3h
🪜Recursive Descent
MaxSun unveils single-slot, liquid-cooled Intel Arc B60 48GB, allows for 7 x GPU configurations
tweaktown.com·6h
💪ARM64 Backend
What can go wrong when using database transactions?
mariadbfordevelopers.com·13h·
Discuss: DEV
🧠Memory Models
Building a Modern Minimalist LMS App with Flutter: A Complete Guide
buymeacoffee.com·1h·
Discuss: DEV
🎮Language Ergonomics
Towards a Typology of LLM Chains-of-Thought
1a3orn.com·15h·
Discuss: Hacker News
🔍ML Language
Design Principle: Composable Services
sleepingpotato.com·21h·
Discuss: Hacker News
🔀Control Structures
Efficient Test-Time Scaling for Small Vision-Language Models
arxiv.org·6h
🪜Recursive Descent
Characteristic Learning for Provable One Step Generation
arxiv.org·6h
🪜Recursive Descent
OOMKilled Pods: A guide to troubleshooting.
dev.to·17h·
Discuss: DEV
💾IoT Allocators
Distilling Reasoning into Student LLMs: Local Naturalness for Selecting Teacher Data
arxiv.org·6h
🌱Minimal ML
Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends
arxiv.org·6h
🌪️V8 TurboFan
Understanding Linux Namespaces: A Guide to Process Isolation
dev.to·17h·
Discuss: DEV
🛡️Capability VMs
🚀 I Replaced Go’s Scheduler — And You Should Too (Here’s How)
dev.to·1d·
Discuss: DEV
🔄Go Scheduler
The Role of AI in Next-Gen Chip Design
dev.to·1d·
Discuss: DEV
🔌Microcontrollers
Can LLMs Detect Ambiguous Plural Reference? An Analysis of Split-Antecedent and Mereological Reference
arxiv.org·6h
🔤Language Tokenizers
Automated Predictive Maintenance Optimization via Hybrid Bayesian-Markovian Modeling for Tunnel Boring Machines (TBMs)
dev.to·1d·
Discuss: DEV
📡Erlang BEAM
Why Interdependent Generations Are the Secret to AI Scaling Breakthroughs
pub.towardsai.net·1d
🔄Subinterpreters