Part 2/9:
The speaker begins by framing the rise of AI as a historical phenomenon — a modern-day evolution akin to the widespread literacy movement of centuries past. Initially, literacy was confined to priests and scholars who read sacred texts, but now, reading and writing, especially of code, are vital skills for the high-skilled architects of modern AI systems. Interestingly, they highlight that many of the current AI projects fail not because of the lack of sophisticated algorithms but due to foundational issues like data quality and understanding the problem space.