The 16 Billion Passwords Panic: What Really Happened and Why It Matters (Or Doesn’t)
blog.elcomsoft.com·2d
🔓Password Cracking
Scaling Pinterest ML Infrastructure with Ray: From Training to End-to-End ML Pipelines
medium.com·1d·
Discuss: Hacker News
🧮Z3 Applications
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
arxiv.org·15h
🎛️Feed Filtering
No pre-filtering in pgvector means reduced ANN recall
dev.to·1d·
Discuss: DEV
🗂️Vector Databases
Join me if you can: ClickHouse vs. Databricks & Snowflake - Part 2
clickhouse.com·19h·
Discuss: Hacker News
🧠Query Planners
The collective waste caused by poor documentation
shanrauf.com·18h·
Discuss: Hacker News
📦Deflate
Slashing CI Costs at Uber
uber.com·9h·
Discuss: Hacker News
🔄Reproducible Builds
Driving cost-efficiency and speed in claims data processing with Amazon Nova Micro and Amazon Nova Lite
aws.amazon.com·2h
🌊Stream Processing
Solving the Problem of Poor Internet Connectivity in Dhaka: Innovative Solutions Using Advanced WebRTC and Adaptive Streaming Technologies
arxiv.org·1d
📞WebRTC
Fully lifted \emph{blirp} interpolation -- a large deviation view
arxiv.org·15h
🌀Fractal Compression
Could Open Table Formats End the Reign of Snowflake and Databricks?
prequel.co·1h·
Discuss: Hacker News
📚MARC Evolution
From Zero to One: A Complete Guide to Implementing WeChat Sharing in HarmonyOS
dev.to·11h·
Discuss: DEV
⚡Modern Compression
Solving LinkedIn Queens Using Haskell
imiron.io·1d·
Discuss: Lobsters, Hacker News, r/programming
λLambda Formalization
The Interactive Handbook on Data Structures and Algorithms
cartesian.app·1d·
Discuss: Lobsters, Hacker News, Hacker News
🌳Trie Structures
What LLMs Know About Their Users
schneier.com·8h·
Discuss: Hacker News
💻Local LLMs
Machine Learning Fundamentals: accuracy with python
dev.to·1d·
Discuss: DEV
👁️Observatory Systems
Data Compression with Relative Entropy Coding
arxiv.org·2d
📐Compression Mathematics
From 500+ Lines to 150: How I Refactored My Amazon Scraper Into a Clean Scrapy Project
dev.to·4h·
Discuss: DEV
📡Feed Archaeology
LLMs for Customized Marketing Content Generation and Evaluation at Scale
arxiv.org·1d
📊Feed Optimization
The Probability of a Hash Collision
kevingal.com·3d·
Discuss: Hacker News, r/programming
🔐Hash Functions