🐿️ ScourBrowse
LoginSign Up
You are offline. Trying to reconnect...
Copied to clipboard
Unable to share or copy to clipboard
📊 Compression Proofs

Information Bounds, Optimal Codes, Mathematical Limits, Entropy Theory

With the Epstein files, Trump finally hits a line MAGA are unwilling to follow him over
abc.net.au·12h
🦠Parasitic Archives
Brute-forcing Langley’s geometry problem with field extensions
chiark.greenend.org.uk·12h
📊Computational Geometry
Longer scans boost prediction and cut costs in brain-wide association studies
nature.com·1d
🧠Intelligence Compression
Open Sesame: Poems with Entropy
benwr.net·1d·
Discuss: Lobsters, Hacker News
🔓Password Cracking
My Experience With Claude Code After 2 Weeks of Adventures
sankalp.bearblog.dev·1d·
Discuss: Hacker News
🌳Incremental Parsing
You can learn anything in 2 weeks
letters.thedankoe.com·1h·
Discuss: Hacker News
⬜Minimalism
Approximate First Principal Component
30fps.net·23h·
Discuss: Hacker News
📐Vector Dimensionality
Show HN: 1.5B LLM routing model that aligns to preferences, not leaderboards
huggingface.co·16h·
Discuss: Hacker News, Hacker News
📝ABNF Parsing
Crawling a billion web pages in just over 24 hours, in 2025
andrewkchan.dev·1d·
Discuss: Hacker News, r/programming
⚡Redis Internals
‘Controlled chaos’: how to create an environment that fosters genius
nature.com·1d
📐Mathematical Art
What people said about an OpenZFS bug
despairlabs.com·1d·
Discuss: Lobsters, Hacker News
🔒Type Safety
Evaluating generative AI models with Amazon Nova LLM-as-a-Judge on Amazon SageMaker AI
aws.amazon.com·14h
🧠Intelligence Compression
A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning
arxiv.org·1d
🤐Secure Multiparty
Mastering Dimensionality Reduction: A Comprehensive Guide to PCA, t-SNE, UMAP, and Autoencoders
dev.to·1d·
Discuss: DEV
📐Vector Dimensionality
The Great Sludge: Why the Internet Will Die Before You Do
dev.to·1d·
Discuss: DEV
📰RSS Archaeology
QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation
arxiv.org·8h
✓Automated Theorem Proving
Identifying Task Groupings for Multi-Task Learning Using Pointwise V-Usable Information
arxiv.org·8h
🧠Intelligence Compression
Discrete Differential Principle for Continuous Smooth Function Representation
arxiv.org·3d
🌀Differential Geometry
Class-Proportional Coreset Selection for Difficulty-Separable Data
arxiv.org·2d
🧠Machine Learning
Quantitative central limit theorems for exponential random graphs
arxiv.org·3d
🧮Kolmogorov Bounds
Loading...Loading more...
AboutBlogChangelogRoadmap