Ever logged in successfully only to find your app still thinks you're a stranger? Here's how I hunted down a sneaky race condition that was making authenticated users disappear into thin air.
A GenAI engineer's take on the MIT study claiming heavy LLM users show reduced brain connectivity, and my personal take on the issue.
What if AI companies could legally train on copyrighted data while creators still got paid? Here's a framework that might actually work for both sides.
Understanding Python generics and variance through a relatable soda can analogy, and how the type checker protects your code.
How I spent hours debugging a seemingly simple Python error, only to discover it all came down to the order I defined my classes. A tale of forward references, runtime type inspection, and why sometimes the simplest fixes are the hardest to find.
As knowledge becomes free and infinite, we'll hunger even more for stories only humans can tell—stories written in suffering, joy, and the messy truth of being alive.
A deep dive into recent research on teaching large language models to identify hidden assumptions, ask clarifying questions, and improve critical thinking.
Exploring how NVIDIA's DGX Spark highlights the crucial shift toward unified RAM systems, and why large AI models depend heavily on memory.
An in-depth exploration inspired by Yann LeCun and Bill Dally's GTC 2025 discussion, detailing my thinking process on integrating JEPA with transformer models and developing dynamic learning and memory management in AGI.
Exploring why the least qualified often rise to power and how to navigate this paradox in your personal and professional life using insights from both Machiavellian philosophy and modern psychology
