Sundar Pichai, CEO of Google, recently admitted something striking (Save this). Google doesn't fully understand how its own AI systems work anymore. This is a fundamental shift in how AI development is happening right now. When Google's engineers train these massive AI models, they're not hand coding every behavior like older software. Instead, they feed the AI billions of pieces of data and let it figure out patterns on its own. Once these models get incredibly large and complex, they start doing things nobody explicitly programmed them to do. Google's AI learned to understand and translate Bengali, a language it was never specifically trained on. That's the weird part, the system figured it out by itself. This phenomenon is called emergent behavior. It happens because when you scale up a model to billions of parameters, something shifts. At a certain threshold, these models suddenly develop capabilities that feel almost intuitive. They start reasoning through complex problems, working in languages they shouldn't know, solving tasks they were never trained on. It's like the AI is teaching itself. The core issue is the disconnect between capability and understanding. Google deployed AI systems to millions of people knowing they don't have a complete map of how these systems reach their conclusions. ...