What is AI, and how does it actually work?
Artificial Intelligence has exploded in popularity with tools like ChatGPT, but the technology behind it has been developing for decades. In this episode, Seth and Cesar break down Artificial Intelligence for beginners, explaining where AI came from, how it evolved, and why it suddenly became so powerful in recent years.
Starting with the early ideas of AI in the 1950s, they trace the key breakthroughs that led to today’s revolution in machine learning and large language models (LLMs). One turning point was the groundbreaking 2017 research paper “Attention Is All You Need,” developed by Google researchers, which introduced the transformer architecture that powers many modern AI systems.
In Part 1 of this two-episode series, they focus on the core building block of modern AI: neural networks.
- What is a neural network?
- How do artificial neural networks compare to the neurons in the human brain?
- How do machines actually learn from data?
- What’s the difference between supervised learning and unsupervised learning?
If you’ve ever wondered how ChatGPT works, how machines learn patterns, or why AI suddenly seems everywhere, this episode will give you a clear foundation without requiring advanced math.
For viewers who want to dive deeper into the mathematics behind neural networks, Seth and Cesar also reference the excellent visual explanations from the YouTube series by Grant Sanderson on the channel 3Blue1Brown.
If you’re curious about Artificial Intelligence, neural networks, machine learning, and how modern AI models are trained, this video is the perfect place to start.
