{"id":92980,"date":"2024-12-24T22:01:22","date_gmt":"2024-12-24T21:01:22","guid":{"rendered":"https:\/\/intercoaching.fr\/?p=92980"},"modified":"2024-12-24T22:01:23","modified_gmt":"2024-12-24T21:01:23","slug":"rugby-ai-reveals-its-unexpected-selection-for-the-2024-team-of-the-year","status":"publish","type":"post","link":"https:\/\/intercoaching.fr\/en\/rugby-ai-reveals-its-unexpected-selection-for-the-2024-team-of-the-year\/","title":{"rendered":"Rugby: AI reveals its unexpected selection for the 2024 team of the year!"},"content":{"rendered":"

With the rise of technologyArtificial intelligence<\/strong>, applications that are as surprising as they are innovative are emerging. Recently, the editorial staff ofRugby News<\/em> requested ChatGPT<\/strong>, an advanced conversational agent, to establish your typical rugby team of the year 2024. The results were both surprising and captivating, leaving room for discussion about the choices made by this AI, which is based on individual performances, collective impact and the role played during decisive moments of competitions. Rugby, a vibrant and complex sport, was thus analyzed from a unique technological angle, highlighting the potential but also the limits of current algorithms. Here is an overview of the selections that got people talking, some of which may even make you smile.<\/p>\n\n\n\n

ChatGPT, a Artificial intelligence<\/strong> renowned, was asked by Actu Rugby to create a global selection of the best players of the year 2024. The team, which provoked mixed reactions, was established based on individual performances, collective impact and moments decisive during the year\u2019s competitions. Let\u2019s discover this unexpected selection together.<\/p>\n\n\n

ChatGPT serving rugby: a unique global team<\/h2>\n\n\n

At the end of 2024, Actu Rugby has chosen to innovate by leveraging theArtificial intelligence<\/strong> to designate a global standard team. This innovative approach is in the vein of end-of-year retrospectives, often referred to as \u201cchestnut trees\u201d. For this task, ChatGPT<\/strong> was asked to select a XV taking into account not only individual performances, but also the collective impact of the players and their ability to shine during key moments.<\/p>\n\n\n

A team dominated by South African and New Zealand talents<\/h3>\n\n\n

It is interesting to note that the selection of ChatGPT highlights a very strong presence of players South Africans<\/strong>, particularly in key positions such as the left pillar, occupied by Ox Nch\u00e9, and the second line, with Eben Etzebeth. In addition, the powerful right pillar Frans Malherbe and the essential flanker Pieter-Steph du Toit feature in this XV. For the New Zealanders, Richie Mo\u2019unga replaces Johnny Sexton at fly-half, while Rieko Ioane is selected as an outside center and Will Jordan occupies the right wing. This clearly shows the recognition of the domination of these nations on the international scene during the year.<\/p>\n\n\n

Questionable and surprising choices<\/h3>\n\n\n

Certain choices in this selection, however, raised questions. Indeed, despite their excellent performances, several players were strangely excluded from the selection, such as Fran\u00e7ois Cros and Damian Penaud, who could also have had their place in the team. It seems that the AI \u200b\u200bstill has progress to make in terms of honed rugby knowledge to refine its complex choices. The case of French hooker Peato Mauvaka constitutes a positive note, marked by his consistency within the national team and Stade Toulousain.<\/p>\n\n\n

A guided approach for the Top 14<\/h3>\n\n\n

Actu Rugby did not stop there and asked ChatGPT to repeat the exercise for the championship of Top 14<\/strong>. Although this new team was deemed more coherent, it still contained some surprising choices, such as the selection of Sofiane Guitoune on the wing, despite his retirement from the top level. After some adjustments, new names, such as Damian Penaud and Thomas Ramos, entered this selection. This approach reflects the space for improvement that persists in the contextual interpretation of AI.<\/p>\n\n\n\n

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