The AI hype is ending - now it might actually become useful

AI Hype News

The AI hype is ending - now it might actually become useful
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Like many new technologies, generative AI has been following a path known as the Gartner hype cycle.

generative AI is not transforming businessLike many new technologies, generative AI has been following a path known as the Gartner hype cycle, first described by American tech research firm Gartner.

Many compelling prototypes of generative AI products have been developed but adopting them in practice has been less successful. AThe Rand report lists many difficulties with generative AI, ranging from high investment requirements in data and AI infrastructure to a lack of needed human talent. However, the unusual nature of gen AI’s limitations represents a critical challenge.

Experience from successful projects shows it is tough to make a generative model follow instructions. For example, Khan Academy’s Khanmigo tutoring system often revealed the correct answers to questions despite being instructed not to.First, generative AI technology, despite its challenges, is rapidly improving, with scale and size being the primary drivers of the improvement.

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