Trace AI's journey from chess-playing machines to today's sophisticated systems capable of understanding language and generating creative content, exploring the key breakthroughs that transformed simple algorithms into powerful tools.

The real game-changer was when researchers figured out how to make computers learn like brains do—through neural networks. Instead of programming every possible rule, we started creating networks of artificial neurons that could recognize patterns and make connections on their own.
Creado por exalumnos de la Universidad de Columbia en San Francisco
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Creado por exalumnos de la Universidad de Columbia en San Francisco

Miles: Hey Blythe! I've been seeing AI everywhere lately—from chatbots answering customer service questions to apps generating artwork. It feels like we went from basic algorithms to these incredibly sophisticated systems almost overnight. How did we get here?
Blythe: It does seem sudden, doesn't it? But AI has actually been evolving for decades. What we're experiencing now is the result of several breakthrough moments building on each other. Remember when IBM's Deep Blue beat chess champion Garry Kasparov back in 1997? That was narrow AI focused on one specific task.
Miles: Right, and now we have systems like ChatGPT that can write essays, explain quantum physics, and even create poetry. That's a massive leap!
Blythe: Exactly! And what's fascinating is that modern AI systems aren't just following rigid rules anymore. They're using techniques like machine learning to adapt and improve based on the data they process. Did you know that over 1.8 million students have taken courses just to understand AI basics? That's according to the Elements of AI program.
Miles: Wow, that many? I guess everyone wants to understand what's happening. So where do we even start if we want to grasp how AI works?
Blythe: I think the best approach is to start with the fundamentals and build up. Let's explore how AI evolved from simple rule-based systems to today's state-of-the-art models that can understand language, generate images, and even reason through complex problems.