The key facts
- Mischief 1 speeds up video generation fivefold compared to Wan 2.2, according to TBC
- Living neurons are used only in the laboratory to study signal-processing principles
- The module adds less than 0.1% parameters and is available via fal and OpenRouter
What was announced
On October 30, the American company The Biological Computing Co. (TBC) unveiled Mischief 1 — a module for turning images into short video clips. The company claims it generates video five times faster than its base model Wan 2.2 while preserving image quality, but detailed test conditions are not provided in the press release. This was reported by Life.ru citing the company's announcement.
What do living neurons have to do with it
The key feature of the approach is that biological material is not involved in the product itself. The TBC team grows neurons in a laboratory and measures how they process signals, then applies the principles discovered to software solutions for existing AI systems. The resulting module runs on conventional computing hardware and, according to TBC, increases the base model's parameter count by less than 0.1%.
Commercial launch and plans
Video generation became the first commercial application of the company's approach: access to Mischief 1 is available through the fal and OpenRouter platforms. Next, TBC intends to apply its research findings to language models and AI systems that interact with the physical world.
An alternative path: biocomputers made of living cells
There is also another approach — directly using living cells in computation. As Life.ru reported on August 23, Singapore combined 20 CL1 biocomputers from Australia's Cortical Labs — a total of about 16 million neurons. The cells are grown from stem cells and connected to electronics via electrodes that transmit signals and read responses; the developers expect such devices to be able to learn from smaller amounts of data and consume less energy. By contrast, Mischief 1 is a software solution in which cells remain purely a research tool.




