How Data Changed Artificial Intelligence
Machines could learn from data long before the recent AI boom. What changed was scale: more examples, better ways to use them, and enough compute to train larger systems.
Learning needs examples
A learning system improves by seeing many cases — text, images, labels, outcomes — and adjusting how it responds. Without enough useful data, learning stalls.
Why AI accelerated recently
Earlier learning methods existed, but large collections of data and the hardware to process them made modern breakthroughs possible. Data didn’t invent learning; it unlocked how far learning could go.