I Used Every Major LLM For a Week — Here's What I Learned About Smart Thinking
Last week, I decided to put the biggest names in AI through their paces. Not with benchmark tests or technical evaluations, but with real work. The kind of messy, complex tasks that make up my actual day. I gave each AI the same challenges: writing code, analyzing data, creative brainstorming, research, and problem-solving. What I discovered wasn't just about which AI performed better—it was about fundamentally different approaches to thinking itself. GPT-4: The Confident Generalist OpenAI's flagship felt like talking to that friend who always sounds sure of themselves. GPT-4 tackled every task with unwavering confidence, producing polished responses that looked impressive at first glance. The Good: Incredibly versatile. Whether I needed Python code, marketing copy, or philosophical insights, GPT-4 delivered something coherent every time. It's particularly strong at creative tasks—the ideas flowed naturally, and the writing had genuine flair. The Reality Check: That co...