Picture: Illustration · BitBytec · Original illustration, BitBytec
The Biological Computing Co. (TBC) launched TBC mischief 1 on 30 October 2026, an AI video model that generates video 5x faster than its base model [1]. This applied biological computing company uses living neurons to improve AI models, and mischief 1 marks a major step in bringing those discoveries into commercial AI [1].

Key facts * TBC mischief 1 is the lowest-priced image-to-video model on the fal and OpenRouter marketplaces [1]. * The model achieves its speed and cost-effectiveness through efficiencies discovered in living neurons and applied directly to the model [1]. * TBC mischief 1 is built on the Wan 2.2 open-weight video model and matches its quality while reducing costs [1]. * The model adds less than 0.1% to the base model's parameter count and runs on standard AI hardware [1].
TBC mischief 1 is faster and cheaper because of efficiencies TBC discovered in living neurons and applied directly to the model [1]. The company uses a discovery platform to grow living neurons in a lab, measure how they process information, and identify computational principles that can improve AI [1]. These discoveries become proprietary software that makes existing models more efficient without the neurons leaving the lab [1].
Creators and developers can access TBC mischief 1 through fal and OpenRouter [1]. The model is designed to allow video creators to test more ideas, compare takes, and refine work within the same budget [1]. For developers, the lower generation costs make it easier to build video into products that people can afford to use repeatedly [1].
What are the costs for creators? At half a cent per second, a five-second clip costs 2.5 cents, and 100 clips cost $2.50 using TBC mischief 1 [1]. This cost-effectiveness allows creative studios to push work further within the same time and budget [1].

Sources
- The Biological Computing Co. Launches World's First Publicly Available Neuron-Derived AI Video Model — Cision PR Newswire (primary source)
- Automated Design of Both the Topology and Sizing of Analog Electrical Circuits Using Genetic Programming | Springer Nature Link — SpringerLink
- What is Machine Learning? | IBM — ibm.com
Written with AI from the sources listed, checked against them before publishing.
