Hollywood
Jim Carrey and Jeff Daniels reprise their classic roles in ‘Dumb and Dumber To’ trailer
MUMBAI: On Tuesday 10 June, The Tonight Show Starring Jimmy Fallon premiered the exclusive trailer for Dumb and Dumber To starring Jim Carrey and Jeff Daniels.
Jim Carrey and Jeff Daniels reprise their signature roles as Lloyd and Harry in the sequel to the smash hit that took the physical comedy and rocked the box office: Dumb and Dumber To. The original film’s directors, Peter and Bobby Farrelly, take Lloyd and Harry on a road trip to find a child Harry never knew he had and the responsibility neither should ever, ever be given.
The Farrelly Brothers have been slowly building up steam for the film, and Jimmy Fallon’s show has been used as a great platform to make announcements about the project. After all, it was Jeff Daniels’ announcement on Late Night with Jimmy Fallon last July that started us all down this rabbit hole. It would only seem fitting that the next step in the journey would take place where it all began. As Peter Farrelly explained on his Twitter page, “Jimmy’s our buddy so we’re giving him first crack at it.”
Along with Carrey and Daniels, Dumb and Dumber To also stars Kathleen Turner (Romancing the Stone, Prizzi’s Honor) and Academy Award winner Jennifer Lawrence (Silver Lining’s Playbook, American Hustle). The Farrelly brothers produce Dumb and Dumber To alongside Riza Aziz and Joey McFarland of Red Granite Pictures. They are joined by fellow producers Charles Wessler and Bradley Thomas.
Click here to watch the trailer:
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.
