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TBC Ships Neuron-Derived Video Model Mischief 1, Backed by AWS Deal

The gist

TBC's approach derives AI efficiency gains from measurements of real neurons rather than standard techniques like quantization or distillation, which the company argues makes the optimizations harder to replicate. The AWS partnership positions the method for commercial-scale deployment, though independent verification of the claimed speed and cost improvements has not yet appeared.

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The full picture

The Biological Computing Co. (TBC) launched Mischief 1 on October 30, 2026, an image-to-video model the company claims is the first publicly available AI video model derived from living neuron measurements. TBC spent four years growing human brain cells on chips with roughly 4,000 electrodes, studying how neurons responded to images as electrical stimulation, and translated those findings into a software adapter built on top of Alibaba's open-source Wan 2.2. The adapter adds less than 0.1% to total parameters. TBC claims the result matches Wan 2.2 quality at five times the speed and 80% lower cost. No living cells are present in the deployed model. The model is API-only with no weights released, priced at $0.005 per second of video, and supports 16:9 clips of three or five seconds at 16 fps in 480p or 720p. It is available on fal and OpenRouter, with AWS Marketplace access described as coming soon. TBC and AWS announced a partnership on September 22, 2026, to scale the neuron-derived approach across AWS Trainium and Amazon SageMaker AI. No independent benchmarks have been published. TBC was co-founded by Alex Ksendzovsky and Jon Pomeraniec, who also serves as COO, and was formerly called Biological Black Box.

How it developed
30 October 2026

TBC launched Mischief 1 on fal and OpenRouter, priced at $0.005 per second

22 September 2026

TBC and AWS announced a partnership to scale neuron-derived AI optimization across AWS Trainium and Amazon SageMaker AI

Sources
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