How to actually use Model Context Protocol
seangoedecke.com·19h
⚡Proof Automation
Issue 481
haskellweekly.news·7h
🔗Functional Compilers
Why We Develop EloqDB Mainly in C++
eloqdata.com·5h·
Discuss: Hacker News
🦀Rust Borrowing
What people said about an OpenZFS bug
despairlabs.com·1d·
Discuss: Lobsters, Hacker News
🔒Type Safety
Why pull-based pipelines are faster
blog.sequinstream.com·4h·
Discuss: Lobsters, Hacker News
🌊Stream Processing
Inheritance over composition, sometimes
death.andgravity.com·2d
🦀Rust Macros
Benchmarking AWS Nova on Log Data: How It Compares to ChatGPT-3.5
bronto.io·2d·
Discuss: Hacker News
📝Log Parsing
Using AMD MI300X for High-Throughput, Low-Cost LLM Inference
herdora.com·4d·
Discuss: Hacker News
⚡Performance Mythology
Show HN: Context Rot Technical Report – How Input Length Impacts LLM Performance
research.trychroma.com·3d·
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
The Future of IoT AI in 2025 and Beyond
dev.to·16h·
Discuss: DEV
🌊Stream Processing
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·15h
🏺Computational Archaeology
RegCL: Continual Adaptation of Segment Anything Model via Model Merging
arxiv.org·15h
✨Effect Handlers
CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks
arxiv.org·2d
📏Code Metrics
Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
arxiv.org·2d
🧠Machine Learning
Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification
arxiv.org·15h
📏Linear Logic
Know Your Playground: The Essential Guide to Algorand for MEV Enthusiasts
hackernoon.com·2d
🔗Hash Chains
Automating Deep Learning: A Gentle Introduction to AutoKeras and Keras Tuner
towardsdatascience.com·2d
📊Quantization
Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery
arxiv.org·15h
📊Learned Metrics