"The ghost in the machine is us."
Public AI models are trained on the "average" of the internet.
MotionLab is trained on the specific.
We fed our 19B parameter network exclusively with 20 years of our studio's animation archives.
Because our training data consists of professional animation timeline files, the model learned sub-frame synchronization between audio cues and visual events.
The model doesn't just "guess" physics; it replicates the distinct animation style of our studio's legacy.
"We didn't train an AI to make animation.
We taught it to remember ours."