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Self-Supervised Learning

AI currently lacks common sense and reasoning, operating primarily on narrow tasks. The emergence of self-supervised learning allows systems to understand images, audio, and text without the need for extensive labeling, paving the way for more versatile AI applications. Additionally, advancements in multitask learning and zero-shot learning are set to revolutionize how AI adapts and functions across various domains.