Artificial general intelligence
Let’s break down what AGI means and why it matters to the future of intelligent systems.
What makes AGI different
Today’s AI is like a collection of very specialized tools – great at specific jobs but unable to adapt to new situations. AGI aims to create something different: machines that can think, learn, and solve problems the way humans do. Imagine an AI that could write a symphony one day and solve complex engineering problems the next, all while understanding the deeper meaning behind both tasks.
The big challenge
Building AGI is challenging because we still don’t fully understand how human intelligence works. Unlike AI models, humans don’t just process information – they reason, adapt, and transfer knowledge seamlessly across domains. Think about how a child learns: they can quickly pick up new skills, grasp cause and effect, and apply lessons from one situation to a completely different one...