AI 'Ring' Production at Bayreuth Festival Under Continuous Development

The controversial AI-driven production of Richard Wagner's "Ring of the Nibelung" at the Bayreuth Festival is being continuously refined, stated Marcus Lobbes, the curator responsible for the artistic and technical concept. Lobbes, director of the Academy for Theater and Digitality in Dortmund, confirmed that work on the system has been ongoing since the premiere week, with the second performance cycle currently underway.

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Therefore, throughout the Ring cycle, we have adjusted various parameters of the reactive processes, often overnight, but also during the one-hour breaks between performances.

During the premiere week, the production faced significant criticism. Audiences described the AI's image selections as "image salad," finding them hard to comprehend. In some scenes, the projected visuals even obstructed the singers and orchestra, detracting from the performance.

Lobbes explained that the AI system reacted more sensitively than anticipated under live performance conditions, particularly due to the dynamic nature of the singing and the orchestra. "Therefore, throughout the Ring cycle, we have adjusted various parameters of the reactive processes, often overnight, but also during the one-hour breaks between performances," he said. These adjustments were immediately evaluated for their dramatic and artistic impact.

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We also worked on the permeability of the front projection.

Specifically, the AI's reactions to acoustic inputs like singing and orchestral music have been tempered to create a calmer visual experience. The team also worked on the "permeability of the front projection," Lobbes noted. While the AI generally identifies singers correctly, the degree to which they are visually emphasized can be modified. New images were not fed to the AI, but its access to existing ones has become more variable. Efforts were also made to prevent the generation of certain images, such as hands or fingers, which the AI tended to produce when themes of oaths or contracts arose, and which Lobbes deemed "not very effective."

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The machine generates hands or fingers for themes like oath or contract; we found that not very effective.

Lobbes emphasized that the system remains a closed, self-learning AI that continues to make autonomous decisions within its set parameters, ensuring its ongoing development. The festival is celebrating its 150th anniversary.

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The machine makes autonomous decisions within the set framework and thus continuously develops itself.