Hollywood
‘The Imitation Game’ wins People’s Choice Award at TIFF
MUMBAI: Benedict Cumberbatch starrer The Imitation Game won the People’s Choice Award at the Toronto International Film Festival (TIFF), marking the end of the 11-day movie marathon.
Set for a 21 November release in US, the biopic portrays Cumberbatch as mathematician Alan Turing, who led the effort to break the Enigma code during World War II and was later persecuted by the government for his homosexuality. Directed by Morten Tyldum, the movie also stars Keira Knightley, Matthew Goode, Mark Strong, Rory Kinnear, Charles Dance, Allen Leech and Matthew Beard.
The film beat the first runner-up Learning to Drive — a dramedy about the unlikely friendship between Patricia Clarkson’s newly separated book editor and her driving instructor.
Sponsored by Grolsch and decided by TIFF audiences, The People’s Choice Award for a feature film, is the most prestigious prize of the festival. Previous winners include 12 Years a Slave, Silver Linings Playbook, The King’s Speech and Slumdog Millionaire.
Meanwhile, the people’s choice award in the genre-driven Midnight Madness section went to New Zealand comedy maestros Taika Waititi and Jemaine Clement for their vampire mockumentary What We Do in the Shadows. Maxime Giroux’s Felix and Meira took the Canada Goose Award for Best Canadian Feature Film and Jeffrey St. Jules won the prize for best first Canadian feature film for Bang Bang Baby.
The People’s Choice Award for documentaries went to Hajooj Kuka’s Beats of the Antonov, a film that promotes peace, love and cultural expression amid the tribal wars that have afflicted Sudan for decades.
Hollywood
Utopai Studios partners Huace to deploy PAI for long form content
Deal includes revenue sharing as Huace adopts AI engine across global ops
MUMBAI: Lights, camera… algorithm, the script just got a silicon co-writer. In a move that signals how storytelling itself is being re-engineered, U.S.-based Utopai Studios has partnered China’s Huace Film & TV Co. Ltd. to bring artificial general intelligence into the heart of long-form content creation.
At the centre of the deal is PAI, Utopai’s cinematic storytelling system, which Huace will deploy as a core engine across its production pipeline from development and creative iteration to global localisation. The partnership includes a large-scale annual usage commitment from Huace, alongside a usage-based revenue-sharing model, underscoring both ambition and commercial confidence on both sides.
For Huace, one of China’s largest film and television companies, the bet is not on automation alone but on scale with control. With distribution spanning over 200 countries and a presence across more than 20 international platforms, including Netflix and YouTube, the company brings a vast content ecosystem where even marginal efficiency gains can translate into significant output shifts. Its extensive TV IP library further positions it as fertile ground for AI-assisted storytelling workflows.
The choice of PAI follows what Huace described as a rigorous evaluation of existing AI tools, many of which remain limited to fragmented use cases such as video generation or editing. What tipped the scales, according to the company, was PAI’s ability to handle long-form narrative complexity maintaining continuity, structure, and creative coherence across entire story arcs rather than isolated clips.
Utopai, for its part, is using the partnership to anchor its international expansion strategy, pitching PAI as an enterprise-ready system built for customisation, privacy, and regulatory adaptability across markets. That positioning becomes particularly relevant as global media companies increasingly scrutinise how AI integrates into proprietary workflows.
The timing is notable. Earlier this month, Utopai upgraded PAI to support three-minute 4K video generation and advanced multi-shot sequencing features designed to tackle one of AI storytelling’s biggest hurdles: consistency across scenes.
What emerges is not just another tech collaboration, but a glimpse into how the grammar of filmmaking could evolve. Because if stories were once crafted frame by frame, the next chapter might just be coded scene by scene.
