Comparing ChatGPT and Hybrids: Which Way Will the Future Go?

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Recently, a thousand AI funders, engineers, and academics have brought light to the need for a pause in the development of generative AI applications such as ChatGPT. Signatories to this open letter include some of the biggest names in the AI industry, such as Amazon, DeepMind, Google, Meta and Microsoft. This comes off the back of the massive oversaturation of ChatGPT media coverage since its launch in November last year.

The letter brings attention to the need to differentiate generative methodologies from Artificial Intelligence (AI) in general. AI as a technology can be traced back to the pre-Industrial Revolution era, but now that computing costs have decreased, there have been increasingly advanced neural network approaches to AI development. There are numerous challenges to using these generative AI approaches, and many benefits such as improved ways of working, learning, and information access.

The INSEAD TotoGEO AI lab has been experimenting with generative methodologies in various business and scientific research, as well as educational materials and online searches. These range from books, reports, poetry, videos, images, 3D games, and full-scale websites.

As with all breakthroughs and advancements in technology, it is necessary to consider both the risks and the benefits of using generative AI methods. The 1,000 signatories of the open letter hope to encourage developers to evaluate the role of AI before releasing it to the public. It is important to understand the implications and potential use of applications like ChatGPT before we make any major decisions on the future of AI.

INSEAD is an international higher education and research institution and the “business school of the world.” It offers various business-related programmes such as MBA, Executive MBA and Doctorate across a range of disciplines. The INSEAD TotoGEO AI lab is dedicated to using AI to revolutionise access to knowledge, and their useful findings give us the necessary information to make informed, ethical decisions regarding the future of AI.

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