International
Turbo to set screens ablaze beginning 19 July
NEW DELHI: Turbo, a high-velocity 3D animation comedy about an underdog snail from the makers of Madagascar, Kung Fu Panda and The Croods, is being released on 19 July.
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It is about an underdog snail whose dreams kick into overdrive when he miraculously attains the power of super-speed. Turbo‘s single-minded goal is to compete in the greatest race in the world: the Indy 500. He even manages to get power to move at super-speed. But he soon learns that no one succeeds on his own. So he puts his heart and shell on the line to help his pals achieve their dreams, before Turbo-charging his own impossible dream: winning the Indy 500.
The film is helmed by Paul Soren and stars a strong ensemble cast of Ryan Reynolds, Samuel Jackson, Snoop Dogg, Paul Giamatti and others.
The requisite comedic and dramatic acting chops, and bigger-than-life persona, are embodied by Hollywood Hottie Ryan Reynolds, whom Director Paul Soren describes as “the perfect match” for Turbo.
“I was pitched the idea about this character who has an impossible dream of winning the Indy 500,” Ryan Reynolds remembers. “I asked, ‘What‘s impossible about that?‘ And he said, ‘Turbo‘s a snail.‘ And I said, ‘That‘s impossible!‘”
“But it all really sounded amazing, and I fell in love with its classic underdog story, which Turbo takes to a new level,” Reynolds continues. “It takes a unique if not insane perspective to bring a snail to life in this way. What I love most about Turbo is his tenacity and refusal to give up on his dream. In fact, it doesn‘t even occur to him to give up. Talent is a collision between hard work and luck, and that‘s what Turbo is.”
Turbo‘s other key relationship is with the collective known as the Racing Snails, who ultimately serve as his pit crew at the Indy 500.
Before Turbo arrived on the scene, the leader and reigning champ of the Racing Snails was Whiplash (Samuel L. Jackson). To be a member of Whiplash‘s crew, you must earn his respect, and until you do, you‘ll never experience the real Whiplash – a warm, jovial guy who treats his crew like family.
One of the final stages of the race to finish Turbo was the intricate sound design created by three-time Academy Award-winner Richard King (The Dark Knight, Inception, Master and Commander: The Far Side of the World). King worked closely with Soren to further define the film‘s vibrant characters and environments through their sounds. Among their principal challenges was creating Turbo‘s signature powering-up racing sounds, and differentiating them from the terrifying and deafening engines of the thirty-two Indy 500 cars pitted against him.
Soren also employed cutting-edge techniques to create the Indy 500 crowd scenes – 300,000 people strong. (It‘s the biggest sporting event in the world.) “There are more crowds in Turbo than any in animated film history,” says the director. To accomplish that, “we devised a system that allowed us to cover huge crowds with relatively low amounts of rendering time, in a way never before possible.”
This kind of technical wizardry was always in service of Turbo‘s colourful characters and classic-with-a-twist underdog tale. “I think audiences will really get behind Turbo‘s determination and dreams,” says Soren. “There‘s a quality about underdog stories where you just can‘t help but start rooting for the character, get swept up by them, and start rooting for them”.
International
Why knowing more languages protects actors from the threat of AI
LOS ANGELES: Acting has never been an easy profession, but in recent years, it has acquired a new existential anxiety. Artificial intelligence can now mimic faces, clone voices and, in theory at least, speak any language it is fed. The fear that actors may soon be replaced by algorithms no longer belongs exclusively to science fiction. And yet, despite the rise of digital inauthenticity, some performers remain stubbornly resistant to replacement. The reason is not celebrity, nor even talent. It is language.
On paper, this should not be a problem. AI can translate. It can imitate accents. It can string together grammatically correct sentences in dozens of languages. But acting, inconveniently, is not about grammatical correctness. It is about meaning, and meaning is where AI still falters.
Machine translation offers a cautionary tale. Google Translate, now powered by neural AI, has improved markedly since its debut in 2006. It can manage menus, emails and airport signage with impressive efficiency. What it struggles with, however, are the moments that matter most: idioms, metaphors, irony, and cultural shorthand. Ask it to translate a joke, a threat disguised as politeness, or a line heavy with emotional subtext, and it begins to unravel. Acting lives precisely in those gaps.
This matters because film language is rarely literal. Scripts, particularly in independent cinema, rely on figurative speech and symbolism to convey what characters cannot say outright. Pedro Almodóvar’s Volver is a useful example. The film’s recurring use of red operates on multiple levels: grief, desire, repression, liberation, and memory. These meanings are inseparable from the Spanish cultural context and emotional cadence. A translation may convey the words, but not the weight they carry. An AI-generated performance might replicate the sound, but not the sense.
This is where multilingual actors gain their edge. Performers such as Penélope Cruz and Sofía Vergara do not simply switch between languages; they move between cultural logics. Their fluency allows them to inhabit characters without flattening them for international consumption. Language, for them, is not an accessory but a structuring force.
Beyond European cinema, this becomes even more pronounced. Languages such as Hindi, Arabic and Mandarin are spoken by hundreds of millions of people and underpin vast cinematic traditions. As global audiences grow more interconnected, the demand for authenticity increases rather than diminishes. Viewers can tell when a performance has been filtered through approximation. Subtle errors, misplaced emphasis, and an unnatural rhythm break the illusion.
There is also a practical dimension. Multilingualism expands opportunity. Sofía Vergara has spoken openly about how learning English enabled her to work beyond Colombia and access Hollywood roles. But this movement is not a one-way export of talent into English-speaking cinema. Multilingual actors carry stories, styles and sensibilities back with them, enriching multiple industries at once.
Cinema has always thrived on such hybridity. Denzel Washington’s performances, for instance, draw on the cultural realities of growing up African American in the United States, while also reflecting stylistic influences from classic Hollywood and Westerns. His work demonstrates how identity and influence intersect on screen. Multilingual actors extend this intersection further, embodying multiple cultural frameworks simultaneously.
At times, linguistic authenticity is not merely artistic but ethical. Films that confront historical trauma, such as Schindler’s List, rely on language to anchor their moral seriousness. When Jewish actors perform in German, the choice is not incidental. Language becomes a site of memory and confrontation. It is difficult to imagine an automated voice carrying that responsibility without hollowing it out.
This is why claims that AI heralds the death of language miss the point. Language is not just a delivery system for information. It is a repository of history, humour, power and pain. Fluency is not only about knowing what to say, but when to hesitate, when to understate, and when to let silence do the work. These are not technical problems waiting to be solved; they are human instincts shaped by lived experience.
AI may one day improve its grasp of metaphor and nuance. It may even learn to sound convincing. But acting is not about sounding convincing; it is about being convincing. Until algorithms can acquire memory, cultural inheritance and emotional intuition, multilingual actors will remain irreplaceable. AI may learn to speak. But it cannot yet learn to mean.
In an industry increasingly tempted by shortcuts, language remains stubbornly resistant to automation. And for actors who can move between worlds, linguistic, cultural, and emotional, that resistance is not a weakness, but a quiet, enduring advantage.








