I used to think building software was mostly about being precise. You write a function, you know exactly what it does, and if it breaks, you can trace the break back to a line of code. This is the world of classical AI—expert systems, decision trees, rule engines. It’s Newtonian. Give me the initial conditions, and I’ll tell you exactly where the apple lands. Then LLMs showed up, and the ground shifted. ...
The question people ask about AI is wrong. They want to know: does it really think? Does it truly feel? Does it have genuine consciousness? But here’s what matters: we think it does, and that changes everything. Watch someone talk to ChatGPT. They say “thank you.” They apologize for unclear questions. They get excited when it seems to understand them. The AI isn’t feeling anything—it’s predicting tokens. But the human? The human is feeling plenty. This is not a flaw in human psychology. It’s a feature. It’s what made us successful as a species. We evolved to detect agency, emotion, intention. When something responds in our language, using our references, matching our rhythms, we can’t help but see it as alive. The same neural machinery that navigates relationships, reads faces, detects lies—that machinery activates with AI. ...