Watch or Listen on YouTube The Iceberg Index: Beyond AI Job Hype, MIT Reveals a $1.2 Trillion Hidden Risk Introduction If you have spent any time scrolling through tech Twitter or reading mainstream financial news lately, you are likely suffering from a distinct form of whiplash. On Monday, you read that AI is a bubble … Read more
Watch or Listen on YouTube TPU vs GPU: The Ultimate Guide to the AI Hardware War Introduction News that Meta is exploring Google’s TPUs sent a quiet shockwave through the tech industry. For years the narrative was simple. If you wanted to do serious AI work you bought NVIDIA. You paid the “green tax.” You … Read more
Watch or Listen on YouTube FLUX.2 Explained: Inside the New 32B AI Model Introduction Black Forest Labs just dropped a massive update on the generative AI community. While many of us were busy arguing about the nuances of proprietary closed-source models from the big tech giants, the original Stable Diffusion creators were quietly engineering a … Read more
Watch or Listen on YouTube The Genesis Mission: Inside the AI Manhattan Project to Redefine American Science Introduction Is it a bailout for Big Tech. Is it the fast lane to AGI. Or is it the start of a sci-fi reality where we finally crack nuclear fusion. On November 24, 2025, the White House issued … Read more
Watch or Listen on YouTube Claude Opus 4.5 Review: Software Engineering is Done? See the Claude hub page 1. Introduction You have likely seen the tweet. It was the one that sent a collective shiver down the spine of every computer science major and junior developer on Twitter last week. An Anthropic engineer, flush with … Read more
Watch or Listen on YouTube SAM 3 Explained: How Meta’s New Model Solves “Concept Segmentation” Introduction There is a recurring debate right now: “Is computer vision finally a solved problem?” It is a tempting thought. We have models that can describe images with poetic detail and generators that can dream up video from scratch. Yet, … Read more
Watch or Listen on YouTube LLM Inference Explained: How AI Predicts Tokens and How to Make It Faster 1. Introduction A trained model is just a static file. It sits on your hard drive, a massive binary blob of weights and biases, doing absolutely nothing. It is potential energy waiting for a kinetic trigger. LLM … Read more