Ai

In Douglas Adams’ “The Hitchhiker’s Guide to the Galaxy,” the supercomputer Deep Thought spent 7.5 million years calculating the answer to the Ultimate Question of Life, the Universe, and Everything. The answer? 42. The problem? Nobody knew what the actual question was. This comedic masterpiece offers a profound lesson for our current AI revolution: answers without context are meaningless, and context without specialization is overwhelming. The Deep Thought Problem in Modern AI Today’s Large Language Models (LLMs) are remarkably similar to Deep Thought. They can provide answers to almost any question, but like “42,” these answers often lack the crucial context needed to be truly useful. Ask ChatGPT or Claude about quantum mechanics, cooking recipes, and tax law in the same conversation, and you’ll get responses—but are they the right responses for your specific situation? ...

Every major technological shift creates two types of people: those who cling to the old ways and get swept aside, and those who recognize the change early and position themselves to ride the wave. We’re at one of those inflection points now. We’ve built an entire economic system around the illusion of complexity. Universities churn out specialists, corporations create elaborate hierarchies of expertise, and we’ve convinced ourselves that professional work requires years of training and irreplaceable human insight. But what if most of what we call “skilled labor” is just systematized thinking that can be reduced to well-crafted prompts? ...