The Biological Computing Co. Launches World’s First Publicly Available Neuron-Derived AI Video Model
SAN FRANCISCO, Oct. 30, 2026
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The Biological Computing Co. Launches World’s First Publicly Available Neuron-Derived AI Video Model
PR Newswire
SAN FRANCISCO, Oct. 30, 2026
TBC mischief 1 generates video 5x faster than its base model and is the lowest-priced image-to-video model on two leading AI marketplaces
SAN FRANCISCO, Oct. 30, 2026 /PRNewswire/ — The Biological Computing Co. (TBC), an applied biological computing company that uses living neurons to improve AI models, today launched TBC mischief 1, an AI video model that generates video 5x faster than its base model. Available on fal and OpenRouter, mischief 1 is the lowest-priced image-to-video model on both marketplaces, enabling video creators and developers to experiment with more ideas, faster and for less.
The launch marks a major step in bringing discoveries from living neurons into commercial AI. mischief 1 is faster and cheaper because of efficiencies TBC discovered in living neurons and applied directly to the model. Just five weeks after announcing its collaboration with Amazon Web Services (AWS) to bring the model to enterprise customers, TBC is extending access to creators and developers through fal and OpenRouter.
Built for how creators actually work
At half a cent per second, a five-second clip costs 2.5 cents, and 100 clips cost $2.50. Creators can test more ideas, compare takes and refine their work within the same budget. For developers, lower generation costs make it easier to build video into products that people can afford to use repeatedly.
Wonder Studios, an AI-native creative studio, tested mischief 1 in its own production workflow.
“Great storytelling comes from refining an idea until it’s right, and that’s usually the crunch point for time and budget. mischief 1’s speed and cost-effectiveness meant we could push the work much further within the same time and more cost effectively,” said Justin Hackney, co-founder of Wonder Studios. “That kind of efficiency gives creatives more time for the craft and lets them stay in the flow of an idea. As this approach reaches more advanced models, it could reshape how films and commercials are made, with faster, more efficient generation that finally keeps pace with imagination.”
A new source of AI efficiency
Built on Wan 2.2, a widely used open-weight video model, mischief 1 matches its quality while generating video 5x faster and at a fraction of the cost.
“We said we would take discoveries from living neurons all the way to a product anyone can use, and we did it faster than anyone expected,” said Alex Ksendzovsky, CEO and co-founder of TBC. “Behind this model is a discovery platform that keeps learning. Every experiment adds to our understanding of how neurons compute and gives us new opportunities to improve AI. Video is our first commercial application. We’re already working to bring those discoveries to language and physical AI, with the goal of building more capable models without simply adding more compute.”
TBC’s discovery platform grows living neurons in the lab, measures how they process information and identifies computational principles that can improve AI. Those discoveries become proprietary software that makes existing models more efficient. The neurons stay in the lab. Customers use software that runs on standard AI hardware and adds less than 0.1% to the base model’s parameter count.
TBC is already applying its discovery process to newer open-weight video models, with early results showing greater efficiency gains. Additional applications in language models and physical AI are in development.
“Our first model shows what happens when we learn from biology instead of relying on conventional inference optimization alone,” said Jon Pomeraniec, co-founder and COO of TBC. “mischief 1 is our first commercial proof point. The larger opportunity is to apply these discoveries across models and workloads. We’re building a platform that can change the economics of AI at scale.”
Most efficiency gains in AI today come from a shared set of industry techniques, such as quantization, distillation and caching. TBC’s optimizations come from a different source: direct measurements of living neurons. They are derived from biology, not just inspired by it, which makes them hard to replicate.
Availability
TBC mischief 1 is live on fal at https://fal.ai/models/TBC/mischief-1/image-to-video and OpenRouter at https://openrouter.ai/tbc/mischief-1 starting October 30 to mark Mischief Night. Learn more at tbc.co.
About The Biological Computing Co. (TBC)
The Biological Computing Co (TBC) is an applied biological computing company that uses living neurons to improve AI models. TBC makes intelligence radically more efficient by learning from biology. Discoveries in living neurons improve AI models that run on the silicon customers already use. Customers get better AI without changing their infrastructure. Headquartered in San Francisco, TBC is a fast-growing team of neuroscientists, biologists, AI researchers and engineers redefining how the world computes.
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SOURCE The Biological Computing Co.

