Upgrading the CircuitHub codebase to GHC-9.10
informal.codes·1d
🔗Functional Compilers
MoonBit Language Tour
tour.moonbitlang.com·1d·
Discuss: Lobsters
λLambda Formalization
Introducing Pivotal Token Search (PTS): Targeting Critical Decision Points in LLM Training
huggingface.co·2d·
Discuss: Hacker News, r/LLM, r/programming
🎯Interactive Provers
Why Lean 4 replaced OCaml as my Primary Language
kirancodes.me·5d·
Discuss: Lobsters, Hacker News
🔗Functional Compilers
The AI Agents of Tomorrow Need Data Integrity
spectrum.ieee.org·1d·
Discuss: Hacker News, r/technews
✅Archive Fixity
How I Made Ruby Faster Than Ruby
noteflakes.com·1d·
Discuss: Hacker News, Hacker News
🔧KAITAI
Mastering MCP Servers with LangChain and LangGraph: A Beginner's Guide
dev.to·15h·
Discuss: DEV
⚙️WASM Runtime
The Code Review Approach That Catches More Than Bugs
dev.to·19h·
Discuss: DEV
📏Code Metrics
Public vs. Private LLMs: Another One Rides the Bus
dev.to·3d·
Discuss: DEV
💻Local LLMs
Experimenting with NotebookLLM: From Cryptic Puzzles to Emergent AI
dev.to·1d·
Discuss: DEV
🔲Cellular Automata
Machine Learning-Based AES Key Recovery via Side-Channel Analysis on the ASCAD Dataset
arxiv.org·22h
🔍Vector Forensics
Rationalizing Transformer Predictions via End-To-End Differentiable Self-Training
arxiv.org·1d
🌳Context free grammars
Sophisticated Learning: A novel algorithm for active learning during model-based planning
arxiv.org·1d
🔲Cellular Automata
Omni Survey for Multimodality Analysis in Visual Object Tracking
arxiv.org·22h
📐Projective Geometry
CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures
arxiv.org·22h
🧮Kolmogorov Complexity
Human Resources Meets Artificial Intelligence: A Roadmap to Integration
dev.to·13h·
Discuss: DEV
🗺️Competency Maps
Scene Graph-Guided Proactive Replanning for Failure-Resilient Embodied Agent
arxiv.org·1d
🔲Cellular Automata
Learning with Confidence
arxiv.org·1d
🧠Machine Learning
Real-Time Anomaly Detection in Time-Series Model Metrics via Federated Gaussian Process Regression
dev.to·23h·
Discuss: DEV
👁️Observatory Systems
Inspire or Predict? Exploring New Paradigms in Assisting Classical Planners with Large Language Models
arxiv.org·1d
💻Local LLMs