-
Topics Everyone Is Talking About No329
Go ahead, self-host Postgres • Show HN: Jmail Google Suite for Epstein files • Over 40 of fatally injured drivers tested positive for THC, study finds • How cybercrime takedowns were used to silence critics of Flock • OpenSCAD is kinda neat…
-
Topics Everyone Is Talking About No328
Graphite Joins Forces with Cursor • Why Developers Cant Get Enough of Rust • A Love Letter to Raycast
-
Topics Everyone Is Talking About No327
LLM Year in Review 2025: Shifts, Insights, and Emerging Paradigms • A Better Zip Bomb: Compression, Exploits, and Algorithmic Ingenuity • NOAA Launches AI-Powered Global Weather Models • Understanding Dart Class Modifiers Through Lattice Theory • A Decade on Datomic – Davis Shepherd Jonathan Indig Netflix
-
Best practices for evaluating clusters
Evaluating clustering models goes far beyond picking the highest silhouette score. This post explores modern best practices for evaluating clusters in unsupervised learning, combining internal and external validation metrics, visualization techniques, and domain-driven evaluation frameworks that leading data teams use in 2025 to ensure meaningful, actionable segmentation results.
-
Topics Everyone Is Talking About No326
Hacker News Front Page But With Honest Titles • Amazon to Support ePub and PDF Downloads for DRM-Free eBooks • Garage An S3-Compatible Object Store Built for the Edge • Mistral OCR 3 A Major Leap in Document Understanding • TikTok Deal Ends in the Worst Possible Way…
-
Topics Everyone Is Talking About No324
AI Speeds Up Developmentbut Causes 1.7 More Bugs • headson: headtail for Structured Data Summarize JSONYAML and Source Code • dogalog: A Prolog-Based Livecoding Music Environment • History LLMs: Models Trained on Pre-1913 Texts
-
Topics Everyone Is Talking About No323
Dear ACM: Youre Using AI Wrong But Theres Still Time to Fix It • Partial Inlining: Smarter Compiler Optimization Explained • Mastering Bit Arrays in Gleam • GPT-5.2-Codex • Inside Chinas Manhattan Project for AI Chips
-
Introduction to SOLID principles in Python
An introduction to SOLID principles for Python developers. Learn how to write cleaner, more modular, and maintainable code by applying the five foundational software design principles—SRP, OCP, LSP, ISP, and DIP—with practical Python examples and real-world best practices.
