INSEAD Develops Poetic Generative AI Applications Rivalling ChatGPT – More to Come

Despite its popularity, ChatGPT has been criticised for generating unreliable and biased search results. A recent media report, for example, concluded that “ChatGPT Is Pretty Bad At Poetry, According To Poets”. Yet that doesn’t mean that the literary ability of all AI should be discounted, applications created by INSEAD’s AI lab using exacting rules can potentially be more useful and reliable than ChatGPT.

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One of those applications is TotoPoetry, a poetry generator trained on a rule-oriented approach to AI.  Philip M. Parker, INSEAD Chaired Professor of Management Science and founder of the INSEAD AI lab called TotoGEO, claims that the lab’s algorithms are the first to achieve three milestones  the world’s longest poem,  the first unabridged dictionary consisting of definitions written in verse across some 20 genres of poetry, and  the largest collection of poetry written by the same source.

This INSEAD Knowledge article by Parker gives a more in-depth analysis of the various AI methodologies underpinning ChatGPT and other applications. Following TotoPoetry, the INSEAD TotoGEO AI lab will launch even more groundbreaking AI applications in the coming months, including a powerful search engine, a newspaper generator, and a Wikipedia-like website.

The INSEAD AI Lab was founded on the Fontainebleau campus in 2000. The lab’s overarching project is called TotoGEO toto meaning everything in Latin and GEO, an acronym for global education and outreach.

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TotoGEO was originally started to create personalised materials for use in executive education, but its projects now span virtually all subject domains, including education, science, agriculture, finance and marketing. It has since created research studies, poetry, crossword books, 3D games, short videos and mobile applications. More recently the lab is generating local newspapers (across “news deserts”), developing first drafts of encyclopedic articles, and fully operational search engines for underserved industries, languages or geographies.

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