Quick question for you: Do you hallucinate? (Hallucinate - to see or hear something that's not really there)

If you said “no,” then you need to take some time to consider the questions below and rethink your answer. You can also still do it even if your answer was “yes.”

Have you ever relied on information that did sound reasonable and later turned out to be fictional? Do you sometimes create facts the way people create imaginary arguments in the shower? Have you ever answered like someone in love, like the way they are confident even when they are imagining things? Do you remember how you accept the “I read the terms and conditions” section?
How many times have you trusted and forwarded that WhatsApp forward?

Vast amounts of data: collected, structured, measured, evaluated and optimized. That is how AI and machine learning are traditionally introduced to us. When we approach it from a technical standpoint, this perspective is, of course, valid. But, I know there is always a ‘but’. This perspective shifts our attention away from a more fundamental truth that “we humans have always made decisions without waiting for perfect data”. Long before spreadsheets, dashboards, or machine learning models entered our lives, decisions were made by memory, experience, and intuition. This leads to a simple but important thought that if we want to use AI wisely, we must first acknowledge that intelligence did not begin with numbers.