Who Invented the Johnson Decade Counter (and Why)?
eejournal.com·9h·
Discuss: Hacker News
📱Bytecode Design
The Exhaustion of Permanent Disruption
joanwestenberg.com·3h
🎮Language Ergonomics
Demystifying Automatic Instrumentation: How the Magic Actually Works
opentelemetry.io·11h
🧪Testing Compilers
Optimizing queries by using observability
infoworld.com·2d
📈Query Optimization
An Interview with OpenAI CEO Sam Altman About DevDay and the AI Buildout
stratechery.com·18h
🎭Program Synthesis
SafeTraffic Copilot: adapting large language models for trustworthy traffic safety assessments and decision interventions
nature.com·1d
🪜Recursive Descent
(PR) Cisco Rolls Out 8223 Router with 51.2 Tbps, Powered by In-House Chip
techpowerup.com·15h
📡Protocol Stacks
4 Linux kernel tweaks I made that actually improved performance
xda-developers.com·4d
📊perf Tools
𝗕𝗼𝗼𝘀𝘁 .𝗡𝗘𝗧 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲 𝗖𝗮𝗰𝗵𝗶𝗻𝗴
dev.to·15h·
Discuss: DEV
🔗Weak References
[Tool] Ollama Bench - Parallel benchmark tool with real-time TUI, multi-model comparison, and comprehensive performance metrics
reddit.com·3d·
Discuss: r/LocalLLaMA
🏁Language Benchmarks
PEaRL: Pathway-Enhanced Representation Learning for Gene and Pathway Expression Prediction from Histology
arxiv.org·2d
✨Effect Inference
Crash Severity Prediction Using Deep Learning Approaches: A Hybrid CNN-RNN Framework
arxiv.org·2d
🪜Recursive Descent
Telling the Difference Between Memories & Logical Guesses
lesswrong.com·1d
🧠Memory Ordering
Adaptive AI: Neural Networks That Learn to Conserve
dev.to·4d·
Discuss: DEV
🗺️Region Inference
Multi‑AI Agents: The Good, the Bad, and the Ugly
dev.to·9h·
Discuss: DEV
🎭Program Synthesis
Structured Cognition for Behavioral Intelligence in Large Language Model Agents: Preliminary Study
arxiv.org·1d
🎯Finite Automata
How to run LLMs on a 1GB (e-waste) GPU without changing a single line of code
reddit.com·2d·
Discuss: r/LocalLLaMA
💾Cache Algorithms
Mechanisms for Quantum Advantage in Global Optimization of Nonconvex Functions
arxiv.org·2d
⚡Partial Evaluation
Revisiting Long-context Modeling from Context Denoising Perspective
arxiv.org·1d
📊LR Parsing
Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same Coin
arxiv.org·1d
🪜Recursive Descent