The AI Winter

The AI Winter refers to periods in the history of artificial intelligence when progress slowed, and interest and funding from investors and researchers declined significantly. These periods occurred because early AI research raised high expectations, but attempts to create fully intelligent machines often failed to deliver practical results. As a result, confidence and resources waned, causing a pause or slowdown in AI development. These setbacks underscored the challenges of building truly intelligent systems and led to more cautious, incremental progress in the field. The AI Winter periods are important lessons about setting realistic goals and managing expectations in technological innovation.