Rafomac News, Tech & Trends That Matter
An 80-minute film, fully generated by artificial intelligence, is set to premiere at Cannes in under a month. The catch? The crew has just 14 days to finish the entire movie, with no guarantee it will work. This ambitious experiment could redefine cinema—or flop spectacularly.
The High-Stakes Race To Create AI Cinema
Imagine producing a full-length feature film without shooting a single frame on a camera, using no physical sets or actors—except one. This is exactly what the team behind HellGrind, the first AI-generated film on record, is attempting as they rush to complete 80 minutes of cinematic storytelling for Cannes. They’re armed with 10 million AI credits, a crew of 15 filmmakers experienced in niche digital series, and only 14 days. The clock is ticking.
From Experimental Short to Feature Hurdle
Already, episode 1 of HellGrind runs 22 minutes and cost about $69,000—far less than the multi-million dollar budgets typical for short live-action pieces in Hollywood. To get there, the creators sifted through over 26,000 AI-generated images and videos to craft a version that felt emotional, coherent, and alive. That painstaking curation process became their craft, proof that artificial intelligence can produce storytelling that resonates beyond digital novelty.
Hollywood Perspective: AI as a New Filmmaking Tool
Chuck Russell, director of classics like The Mask, weighed in after watching HellGrind’s first episode. Despite his skepticism, he found himself drawn to the characters and plot—elements rarely achieved in AI projects so far. Chuck sees AI not as a replacement but as a new visual effects tool evolving rapidly alongside traditional filmmaking. His verdict: “Congratulations to the filmmakers. You made me care about your characters.”
How Do You Script a Film Built by AI?
Surprisingly, the entire script came together in just three days, thanks to a custom AI tool trained specifically for screenwriting. Instead of generic AI dialogue, this model understands the film’s characters, tone, and pacing, producing scenes tailored to the story’s needs. This method aims to avoid the mechanical feel that often plagues AI-generated text, delivering moments so human they prompted tears on set.
The Digital Canvas Holding It All Together
Behind the scenes, the team uses an evolving shared digital canvas where every asset—characters, locations, props—resides with detailed descriptions. Every character has multiple iterations to reflect changes like injuries or costume updates across scenes. This precision keeps consistency as the film is divided into different chunks, each handled by dedicated teams racing the clock daily to generate usable footage.
Crafting Characters and Scenes Through AI Iterations
Character creation involves hundreds of generations and refinements. For instance, to create the Tibetan monk character, the filmmakers generated images using multiple AI tools, picking the best one and editing details like baldness to perfection. This iterative process is key to building credibility and emotional depth, ensuring that characters aren’t just random digital figures but felt personalities across the story.
What’s Next as the Deadline Looms?
With script and assets in hand, day one of the 14-day sprint is underway. Each day’s footage will be carefully edited and reviewed, with strict pacing to avoid delays. The question hanging in the air is whether they can make the deadline while maintaining quality—or if this gamble will reveal the limits of AI filmmaking.
If the experiment succeeds, it could revolutionise independent filmmaking by drastically cutting costs and timeframes while opening new creative doors. If not, it will show what still needs to be bridged between AI’s potential and cinematic magic.
There’s no room for certainty—just the drive to see if AI can truly craft a feature film that moves us, all while the countdown to Cannes continues.
