How AI works in Super Simple Terms!!!

Josh Starmer elucidates how AI functions, beginning with a simple linear regression model predicting revenue based on store count. He equates this to a basic AI, then expands to complex AI models like those used for poetry generation. These advanced AIs convert prompts into numerical coordinates to generate outputs. The explanation details the shift from using two data points to trillions, enabling the fitting of complex shapes via equations with numerous parameters. Starmer describes AI construction, emphasizing the use of vast text datasets for training, and refines the concept of "alignment," where the AI is tuned to provide relevant responses to prompts. The discussion concludes by noting AI's adaptability to specialized tasks through alignment.