How to actually use Model Context Protocol
seangoedecke.com·16h
⚡Proof Automation
Issue 481
haskellweekly.news·4h
🔗Functional Compilers
ChatGPT is not AI
newsletter.techworld-with-milan.com·1h
🎙️Whisper
Why pull-based pipelines are faster
blog.sequinstream.com·49m·
Discuss: Lobsters, Hacker News
🌊Stream Processing
What people said about an OpenZFS bug
despairlabs.com·1d·
Discuss: Lobsters, Hacker News
🔒Type Safety
Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming
arxiv.org·12h
🌀Riemannian Computing
Finding Order-Preserving Subgraphs
arxiv.org·1d
🕸️Graph Algorithms
Machine Learning Fundamentals: data preprocessing with python
dev.to·3d·
Discuss: DEV
⚙️Batch Processing
Trying to Run AI on Low-End Devices? Here’s What We Learned
dev.to·6h·
Discuss: DEV
🌀Brotli Internals
Using AMD MI300X for High-Throughput, Low-Cost LLM Inference
herdora.com·4d·
Discuss: Hacker News
⚡Performance Mythology
Understanding the Basics: Linear Equations and Matrices
dev.to·14h·
Discuss: DEV
📐Linear Algebra
Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone
arxiv.org·1d
🌀Differential Geometry
AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air
arxiv.org·1d
💻Local LLMs
Show HN: Context Rot Technical Report – How Input Length Impacts LLM Performance
research.trychroma.com·2d·
Discuss: Lobsters, Hacker News
🔍Information Retrieval
Google I/O Connect 2025 Recap: Gemini, Open Models, and AI in Action
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
Sparse Identification of Nonlinear Dynamics with Conformal Prediction
arxiv.org·12h
🧮Kolmogorov Bounds
Class-Proportional Coreset Selection for Difficulty-Separable Data
arxiv.org·1d
🧠Machine Learning
Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models
arxiv.org·12h
🏺Computational Archaeology
RegCL: Continual Adaptation of Segment Anything Model via Model Merging
arxiv.org·12h
✨Effect Handlers
Know Your Playground: The Essential Guide to Algorand for MEV Enthusiasts
hackernoon.com·2d
🔗Hash Chains