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AI ‘Actor’ Tilly Norwood Abruptly Switches Languages Mid-Interview
The virtual performer’s live response briefly broke down, prompting confusion and a viral clip as Particle6 promoted its AI talent in multiple interviews.
- During an appearance on 'Piers Morgan Uncensored,' Tilly Norwood, an AI actress created by Particle6, unexpectedly switched from English to Cantonese while discussing her upcoming film 'Misaligned' with host Piers Morgan and actor Tom Conti.
- The language shift occurred as Conti asked Norwood if her co-stars in 'Misaligned' were real actors or digital twins. Norwood initially responded, 'They're all digital twins, just like me,' before abruptly switching languages mid-sentence.
- Particle6 CEO Eline van der Velden later defended the virtual performer, telling Deadline that 'Tilly can be a bit of a show-off' and noting the AI can communicate in more than 30 languages.
- Norwood later described the incident as a technical 'hiccup' and an uncommon error, highlighting the challenges of maintaining consistency for AI-generated personalities in unscripted, real-time interview environments.
- Reciting Shakespeare, the actress argued that digital and real actors should never compete in the same Oscar categories, deepening Hollywood's ongoing debate regarding artificial intelligence in entertainment.
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84 Articles
The interview with the first AI-generated actress, Tilly Norwood, felt like it was a scene from a sci-fi-to-comedy movie.
·Budapest, Hungary
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Film stars sometimes talk pretty stupid stuff in interviews. Tilly Norwood, a passionately hated actor in Hollywood, makes particularly remarkable mistakes.
·Munich, Germany
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AI ACTRESS Tilly Norwood confused the hosts.
·Zagreb, Croatia
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Her creators praise the character Tilly Norwood, generated by an AI, as an actress of the future. In an interview, Norwood now reacted little humanly when she wanted to answer a simple question.
·Hamburg, Germany
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Coverage Details
Total News Sources84
Leaning Left21Leaning Right15Center15Last UpdatedBias Distribution41% Left
Bias Distribution
- 41% of the sources lean Left
41% Left
L 41%
C 30%
R 29%
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