Feb 5 · 4 min read · The Real Constraint: Labels, Not Models Lecture 2 reveals a pattern that separates academic exercises from production systems: architecture is rarely the bottleneck—labels are. Supervised learning works flawlessly in theory. In practice, it hits a wa...
Join discussion
Feb 2 · 4 min read · I hit pause five minutes into Lecture 2 of CS230. Kian was already deep into a case study on day/night classification, but my notes were filling up with question marks. Not about the code—about the premise. The lecture assumed I already understood wh...
Join discussion
Jan 25 · 4 min read · January 2026. I pressed play on Stanford’s famous CS230 course with one goal: to finally understand the engine of modern AI, not just use its products. The first lecture didn’t give me code. Instead, Professor Andrew Ng gave me the "why"—the story an...
Join discussion