Tag: Machine Learning
Getting the Name Right: What Is a World Model?
1. The Naming Mess In 2025 and 2026, “world model” became perhaps the hottest—and loosest—label in AI. The video camp says coherent video generation is a world model. The 3D camp says only spatial reconstruction qualifies. Roboticists say a model …
1. The Naming Mess In 2025 and 2026, “world model” became perhaps the hottest—and loosest—label in AI. The video camp says coherent video generation is a world model. The 3D camp says only spatial reconstruction qualifies. Roboticists say a model …
The Cerebellum: The Other Half of Intelligence—and the Strongest AI Hasn't Touched It
Let me start with an uncomfortable number. The cerebral cortex—the part we usually point to as evidence that “I am thinking”—contains roughly 15 billion neurons. The cerebellum, tucked beneath the back of the brain and rarely given much thought, …
Let me start with an uncomfortable number. The cerebral cortex—the part we usually point to as evidence that “I am thinking”—contains roughly 15 billion neurons. The cerebellum, tucked beneath the back of the brain and rarely given much thought, …
KNN Ultimate Optimization: From RDS to PostGIS
Flexibly applying database functionality can easily achieve a 30,000-fold performance improvement in GIS selection scenarios. Level Method Performance/Time(ms) Maintainability/Reliability Notes 1 Brute Force 30,000 - Simple form 2 Coordinate Index 35 …
Flexibly applying database functionality can easily achieve a 30,000-fold performance improvement in GIS selection scenarios. Level Method Performance/Time(ms) Maintainability/Reliability Notes 1 Brute Force 30,000 - Simple form 2 Coordinate Index 35 …
Building an ItemCF Recommender in Pure SQL
Everyone knows “item-based collaborative filtering” (ItemCF): Amazon recommendations, YouTube watch-next, etc. Here’s how to implement it in PostgreSQL using the MovieLens dataset. No Python, just SQL. Theory in one minute ItemCF recommends items …
Everyone knows “item-based collaborative filtering” (ItemCF): Amazon recommendations, YouTube watch-next, etc. Here’s how to implement it in PostgreSQL using the MovieLens dataset. No Python, just SQL. Theory in one minute ItemCF recommends items …