Hello World is a 9 minute short film that tells a story where the future isn't as dark as it often is portrayed. With principal photography completed and only post-production left, Hello World needs your help to finish strong.
An Android in the broken home of a father and son observes their relationship after the passing of their wife and mother.
The Visual Effects
Hello World is an ambitious project that involves an entirely post production visual effects character. Our Android will be computer generated and its movements and actions based off our on set actor (Robert).
Behind the Scenes
Some behind the scenes shots of the long 2 day shoot. Everyone was on top of their game.
These short films & videos inspired the idea for Hello World's visual approach and the confidence we could achieve the level of VFX needed. Take a look, they're incredible:
Construct by Kevin Margo.
The Gift by Big Lazy Robot VFX.
Keloid (also) by Big Lazy Robot.
Blinky™ by Ruairi Robinson.
Telus introduced STORYHIVE last year as a way to inspire and give back to the creative community. Piloted in Vancouver with 3 prizes of $5K. Now in its 2nd season (its 1st in Calgary & Edmonton) there were 10 prizes of $10K in each province. Winners were announced on May 26th and Hello World was one of them.
Check out the original pitch video to see where Hello World started:
SOME OF THE THEORY
MACHINE LEARNING vs. DEEP LEARNING
To understand what deep learning is, it's first important to distinguish it from other disciplines within the field of AI.
One outgrowth of AI was machine learning, in which the computer extracts knowledge through supervised experience. This typically involved a human operator helping the machine learn by giving it hundreds or thousands of training examples, and manually correcting its mistakes.
While machine learning has become dominant within the field of AI, it does have its problems. For one thing, it's massively time consuming. For another, it's still not a true measure of machine intelligence since it relies on human ingenuity to come up with the abstractions that allow a computer to learn.
Unlike machine learning, deep learning is mostly unsupervised. It involves, for example, creating large-scale neural nets that allow the computer to learn and "think" by itself — without the need for direct human intervention.
Deep learning "really doesn't look like a computer program," said Gary Marcus a psychologist and AI expert at New York University in a recent interview on NPR. Ordinary computer code is written in very strict logical steps, he said, "But what you'll see in deep learning is something different; you don't have a lot of instructions that say: 'If one thing is true do this other thing.'" [Humanity Must 'Jail' Dangerous AI to Avoid Doom, Expert Says]
Instead of linear logic, deep learning is based on theories of how the human brain works. The program is made of tangled layers of interconnected nodes. It learns by rearranging connections between nodes after each new experience.
Deep learning has shown potential as the basis for software that could work out the emotions or events described in text (even if they aren't explicitly referenced), recognize objects in photos, and make sophisticated predictions about people's likely future behavior.
Principal photography is already complete and the majority of the crew paid. However, we need additional resources so that we can accomplish the following:
- Sound Design, Foley & Mix
- Voice Over & ADR Sessions
- Buy Cloud Rendering Time
- Hire Additional Compositors, Animators & Motion Graphics Artists
This is the crew that's made everything so far possible. Couldn't have done it with out them all working countless hours.
- Olaf Blomerus (Writer/Director/Producer)
- Thi Vo (Producer)
- Aaron Bernakevitch (Cinematographer)
- Mike Heywood (Production Manager)
- Chris Krieger (Editor/1st AC)
- Nick Thomas (Colorist/Camera Operator)
- Derek Heisler (2nd AC/ BTS Photographer)
- Brock Davis Mitchell (Script Supervisor/DIT)
- Joey Camacho (VFX Supervisor)
- Alec Harrison (Score)
- Simon Thomas (3D Modelling)
- Justan Ross (Sound Recording)
- Odessa Bennett (Wardrobe)
- Caroline Murray (Makeup)
- Liz Nandee (Set Decorator)
- Dori Kominek (Set Decorating Assistant)
- Anish Bahl (Key Grip)
- Scott Lutley (Gaffer)
- Charles Hamilton (Grip LX Swing)
- Conner Couzens (Grip LX Swing)
- Thommy Morais (Grip LX Swing)
Risks and challenges
Meeting our STORYHIVE deadline (mid August) while still providing the best possible film & not sacrificing quality for speed during the post production phase. Render times will definitely affect the process, hence the need for cloud rendering services and additional talent to speed up turnaround on the visual effects heavy shots.Learn about accountability on Kickstarter
- (26 days)