New Proof Dramatically Compresses Space Needed for Computation
scientificamerican.com·1h
🎯Performance Proofs
The network is indeed trying to become the computer
theregister.com·1h
🖥️Modern Terminals
The Nature of Lisp, Code Generation and Wieldable Programming Power
pankajpipada.com·2d·
Discuss: Hacker News, r/programming
🔗Lisp
Simplicity, Agility, and Agency
articles.pragdave.me·1d·
Discuss: Hacker News
⬜Minimalism
Predicting Faulty Validations in Cluster Issue Detection: A ML Approach - DevConf.CZ 2025
youtube.com·1d
📏Code Metrics
Trends in Machine Learning: 2025 Industry Outlook and Technical Shifts
dev.to·1d·
Discuss: DEV
🎵Audio ML
Our Coding Adventure: Using LLMs to Personalise the Narrative of a Tangible Programming Robot for Preschoolers
arxiv.org·8h
🎙️Whisper
Lessons from LangChain and Slack and MCP Integration
medium.com·2d·
Discuss: Hacker News
🔗Topological Sorting
How to Make Large-Scale Experiments Smarter and Cheaper with AI-Driven Proofs
dev.to·1d·
Discuss: DEV
✓Automated Theorem Proving
How AI Helped Me Build a CRM Integration 60% Faster: A Real Vue.js + CouchDB Case Study
dev.to·16h·
Discuss: DEV
🌀Brotli Internals
TITAN: Query-Token based Domain Adaptive Adversarial Learning
arxiv.org·8h
📊Learned Metrics
Treasure Case Sharing of HarmonyOS 5 Development — Practical Tips for Application Architecture
dev.to·1d·
Discuss: DEV
🔌Interface Evolution
Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework
arxiv.org·8h
💻Local LLMs
Building Scalable Web Applications with Advanced JavaScript Patterns
dev.to·1d·
Discuss: DEV
🛠Language Design
SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning
arxiv.org·2d
💻Local LLMs
SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization
arxiv.org·1d
🔍BitFunnel
Solve a real-world problem with AI
dev.to·5h·
Discuss: DEV
🧮Z3 Applications
ColumnTransformer and Pipelines in Scikit-Learn: Clean, Scalable, and Powerful Preprocessing
dev.to·17h·
Discuss: DEV
🌊Streaming Compression
Why MindsDB is the Fastest Way to Build AI Agents Today
dev.to·2h·
Discuss: DEV
🌀Brotli Internals
Estimating Technical Loss without Power Flows: A Practical, Data-Driven Approach for Loss Estimation in Distribution Grids
arxiv.org·8h
👁️System Observability