young stars in SDSS-V
hoggresearch.blogspot.com·17h·
Discuss: hoggresearch.blogspot.com
🗂️Vector Databases
Cauchy coup
leancrew.com·11h
📐Linear Algebra
The mathematics of the perfect penalty shootout
bbc.com·16h·
Discuss: Hacker News
🔲Cellular Automata
Create a Local IMDB MCP Server in Python
mkaz.blog·22h·
Discuss: Hacker News
🎞️MKV Internals
Show HN: Agency Protocol – Domain-Specific Trust Through Verifiable Promises
promise-keeping.com·2h·
Discuss: Hacker News
🏛️Byzantine Archives
How to run an LLM on your laptop
technologyreview.com·2d·
Discuss: Hacker News, Hacker News
💻Local LLMs
[R] A Minimum Description Length Approach to Regularization in Neural Networks
reddit.com·1d·
Discuss: r/MachineLearning
🧮Kolmogorov Complexity
Partial decidability protocol for the Wang tiling problem from statistical mechanics and chaotic mapping
arxiv.org·2d
🎯Performance Proofs
What can we expect of LLMs as Software Engineers?
chelseatroy.com·5d·
Discuss: Hacker News
📝Text Parsing
5 Collaboration Strategies Every Workplace Needs
hackernoon.com·19h
🔀CRDT
ShopSmart AI - Revolutionary E-commerce Search with Algolia MCP Server
dev.to·3d·
Discuss: DEV
👤Search Personalization
Using AI in the development of stdlib
dev.to·2d·
Discuss: DEV
📏Code Metrics
Identifying Task Groupings for Multi-Task Learning Using Pointwise V-Usable Information
arxiv.org·2d
🧠Intelligence Compression
Context is the New Frontier: Why Smarter Systems Are Built on Understanding
dev.to·1d·
Discuss: DEV
📐Format Grammars
The Power of HTML - Part 22: The Future of HTML: WebAssembly, AI Integration, and Predictions
dev.to·3h·
Discuss: DEV
🌐Web Standards
Advancing Retrieval-Augmented Generation for Structured Enterprise and Internal Data
arxiv.org·3d
🔍Information Retrieval
The Explosive Rise of Agentic AI in 2025: Trends That Will Redefine Your World
dev.to·1d·
Discuss: DEV
🎧Learned Audio
MUPAX: Multidimensional Problem Agnostic eXplainable AI
arxiv.org·2d
🧠Machine Learning
[R] NeuralOS: a generative OS entirely powered by neural networks
reddit.com·1d·
Discuss: r/MachineLearning
🔌Operating system internals
From Equal Weights to Smart Weights: OTPO’s Approach to Better LLM Alignment
towardsdatascience.com·4d
🧮Kolmogorov Bounds