After 4 years of researching living brain cells, TBC has applied its neuron algorithm to Alibaba's Wan 2.2, claiming 5x faster video generation.
1 hours ago
Beating AI News: U.S. company TBC, founded by two neurosurgeons, has released the video model Mischief 1. The new model is modified from Alibaba’s open-source Wan 2.2, with less than 0.1% additional parameters. TBC claims that with comparable image quality, its video generation speed is at least 5 times faster, and inference costs are reduced by around 80%. This technology stems from the team’s four-year research on living neurons. Researchers cultured brain cells on a chip equipped with 4096 electrodes, converted visual information into electrical stimuli, and recorded how neural activity spreads spatially and decays over time. Based on these patterns, they designed lightweight software modules, which were embedded into the video model’s diffusion Transformer structure, helping the AI maintain consistency between consecutive frames without training the entire model from scratch. Video models can be accelerated by reducing denoising steps, but too many steps lead to blurry, distorted images and difficulty maintaining frame consistency. TBC previously ran experiments using an AI model that generates real-time Minecraft visuals based on player inputs. After adding the bio-inspired modules, the model retained stable visuals while cutting denoising steps. Combined with caching and sampling optimizations, the overall system’s throughput increased by 4.4 times. Today, TBC is commercializing this research line. Mischief 1 has been integrated into fal and OpenRouter, and currently supports generating 3-second or 5-second videos from images. A 5-second 480p video costs just 2.5 cents to produce, while a 720p video costs 5 cents.
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