Chopping Language, Weaving Meaning
Language models don’t read like we do. They slice text into tokens and map them to vectors. Meaning becomes pattern, not understanding. Learn the quirks of tokenization and embeddings to write tighter prompts, spot bias, and know what gets lost.
False Gods of Certainty
People have driven into lakes because a map app said “turn right.” New age, same craving for certainty. Tools help, but they are not holy. Keep humans in the loop. Doubt is a duty. Use the model, question the verdict, keep your hands on the wheel.
We Got the Speed We Begged For. Now We Hate the Results
AI isn’t soulless. It mirrors us. We asked for speed and got it, then blamed the tool when craft felt thin. The tool is not the skill. The driver is. Bring taste, patience, and judgment, and the work lives. Want meaning? Pay the price in effort. The rest is on us.
Vibe Coding Is the New Spaghetti Code
Vibe coding feels like magic: talk and code appears. But the first draft often hides spaghetti. Use it for prototypes, not production. Treat AI like a junior dev. Review, refactor, test, and own the architecture. Speed wins nothing if maintenance loses.
Why Fundamentals Matter More Than Ever in the AI Era
AI can write features fast, but speed without understanding is a trap. Never merge code you cannot explain. Treat AI like a junior: good for drafts, not decisions. Review, test, and refactor. Fundamentals turn quick wins into systems that stand up under load.
An Era of Thinking to Unthink
I thought I had my world figured out, my go-to playbook and shelf of experience. But in this era, we get humbled. Progress sometimes depends not on learning more, but on unlearning what we already know, as the rules get rewritten overnight.
