LLMs' surprise teaches us about ourselves
ericnormand.substack.com·16h·
Discuss: Substack
🏆LLM Benchmarking
Why RAII Matters in Modern C++
en.cppreference.com·12h·
Discuss: r/programming
🧠Memory Allocation Strategies
📦 Bear Blog Entry - THUNK.exe Explained
theglitch.bearblog.dev·9h
💾Persistence Strategies
Memory-level parallelism :: Apple M2 vs Apple M4
lemire.me·1h·
Discuss: Hacker News
⚙️Mechanical Sympathy
Types are Transforming Python
spin.atomicobject.com·10h·
Discuss: Hacker News
🧩Types
Advancing Claude for Education
anthropic.com·22h·
Discuss: Hacker News
🎭Claude
A Directed Lazy Random Walk Model to Three-Way Dynamic Matching Problem
arxiv.org·18h
🤝Distributed Consensus
Bitchat for Android – peer-to-peer messaging over Bluetooth mesh networks
github.com·1h·
Discuss: Hacker News
🌐Network Protocols
Multi-view mid fusion: a universal approach for learning in an HDLSS setting
arxiv.org·18h
🔗Hybrid Search
Differential Mamba
arxiv.org·18h
🧠LLM Inference
Axiomatic characterizations of dissimilarity orderings and distances between sets
arxiv.org·18h
🧩Types
Disappearing Ink: Obfuscation Breaks N-gram Code Watermarks in Theory and Practice
arxiv.org·18h
📝Text Compression
ECom-Bench: Can LLM Agent Resolve Real-World E-commerce Customer Support Issues?
arxiv.org·18h
🏆LLM Benchmarking
A Physics-Based Continuum Model for Versatile, Scalable, and Fast Terramechanics Simulation
arxiv.org·18h
⚛️Physics
Document Reformatting Using Multimodal AI Models for Printer / Scanner Edge Devices
pub.towardsai.net·11h
🔤Font Rendering
DRO-EDL-MPC: Evidential Deep Learning-Based Distributionally Robust Model Predictive Control for Safe Autonomous Driving
arxiv.org·18h
🛡️AI Safety
Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching
arxiv.org·18h
🧠LLM Inference
ECORE: Energy-Conscious Optimized Routing for Deep Learning Models at the Edge
arxiv.org·18h
📱Edge AI Optimization
FineGrasp: Towards Robust Grasping for Delicate Objects
arxiv.org·18h
🛡️AI Safety
Archetype-Aware Predictive Autoscaling with Uncertainty Quantification for Serverless Workloads on Kubernetes
arxiv.org·18h
⚡Systems Performance