Part 5/6:
The transformative potential of deep learning was aided significantly by two key elements: the massive computing power available in the early 2000s and the ubiquity of the Internet. By leveraging these resources, developers could create a vast number of AI iterations quickly. This rapid cycle of testing, eliminating failures, and enhancing successes led to significant advancements in AI capabilities.
Through countless repetitions of trial and error, initial randomness evolved into a functional intelligence, enabling machines to interpret data, understand language, and interact in complex ways with users.