Sorting Prompts - LLMs are not wrong you just caught them mid thought
kau.sh·1d
⚡Proof Automation
Pokémon Color Palette Swapping
fanyangxyz.github.io·2h·
Discuss: Hacker News
🌈Color Science
Dev Services for Spring Boot Using Arconia
thomasvitale.com·9h·
Discuss: Hacker News
🔌Archive APIs
We found a bug in Go's ARM64 compiler
blog.cloudflare.com·3d·
Discuss: Lobsters, Hacker News, r/golang, r/programming
📜Proof Carrying Code
Why do CPUs have multiple cache levels?
fgiesen.wordpress.com·8h·
Discuss: Hacker News
⚡Cache Theory
QUIC! Jump to User Space!
hackaday.com·1d
🌐Network Protocols
Software Architecture Horror Story
blog.mihaisafta.com·18h·
Discuss: Hacker News
🔌Interface Evolution
The Pain Driven Workflow
magistr.me·2d·
Discuss: Hacker News
⚡Incremental Computation
Scalable Semantic Map Generation via Hierarchical Graph Optimization
dev.to·1d·
Discuss: DEV
⚡Incremental Computation
h1: Bootstrapping LLMs to Reason over Longer Horizons via Reinforcement Learning
arxiv.org·2d·
Discuss: Hacker News
✓Automated Theorem Proving
Counterfactual Identifiability via Dynamic Optimal Transport
arxiv.org·1d
🔍Vector Forensics
AsyncSpade: Efficient Test-Time Scaling with Asynchronous Sparse Decoding
arxiv.org·1d
⚙️Compression Benchmarking
Can Risk-taking AI-Assistants suitably represent entities
arxiv.org·1d
🔗Constraint Handling
Enhanced Arc-Fault Current Detection via Dynamic Bayesian Network Inference
dev.to·17h·
Discuss: DEV
🌊Stream Processing
AI can help your DevSecOps pipeline
spiceworks.com·1d·
Discuss: Hacker News
🏠Homelab Pentesting
Unveiling the Power of Queues: A Journey into Data Structures and Algorithms
dev.to·2d·
Discuss: DEV
⚡Cache Theory
The Hidden Power of ChatGPT Prompts Nobody Talks About
dev.to·1h·
Discuss: DEV
⚡Proof Automation
A Detailed Workflow for Creating an MCP Server that Returns MySQL Schema Information Using Vibe Coding
dev.to·3d·
Discuss: DEV
🗄️Database Internals
Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling
arxiv.org·1d
💻Local LLMs
OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference
arxiv.org·1d
💻Local LLMs