AI's Impressive Progress Still Bound by Limits of Narrow Task Focus
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Artificial intelligence (AI) refers to technology that exhibits human-like intelligence, with machine learning being the most widely used approach today. Neural networks are a popular architecture.
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Generative AI systems like ChatGPT can generate original outputs like text, images, and audio using deep learning and massive datasets. Transformers have been a breakthrough in powering systems like chatbots.
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Narrow AI refers to systems trained for one specific task, while artificial general intelligence (AGI) refers to hypothetical future AI with more generalized human-like cognitive abilities.
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LLMs like ChatGPT have impressed with their ability to tackle diverse tasks, leading some to view them as a step toward AGI, though their reasoning abilities are still limited.
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Real-world AI is used in recommendation systems, translations, fraud detection, computer vision, chatbots, and more. But generative AI is still new, with open questions around its limitations and ideal applications.