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Biological Computing Co. releases mischief 1 image-to-video model from $0.005 a second

According to a post on X by @Axylusion, The Biological Computing Co. (TBC) released mischief 1, an image-to-video model built on the open-weight Wan 2.2. The company says it sped up the model using what it learned from lab-grown living neurons, though the model itself runs on normal AI chips. TBC claims Wan-level quality at five times the speed, with 3- or 5-second clips at 480p or 720p steered by a first-frame image, priced from $0.005 a second.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-10-31T21:40:00+00:00 Detected 2026-11-01T01:36:00+00:00
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According to a post on X by @Axylusion, The Biological Computing Co. (TBC) released mischief 1, an image-to-video model built on the open-weight Wan 2.2. The company says it sped up the model using what it learned from lab-grown living neurons, though the model itself runs on normal AI chips. TBC claims Wan-level quality at five times the speed, with 3- or 5-second clips at 480p or 720p steered by a first-frame image, priced from $0.005 a second.

AI-assisted summary based on the listed source.

Axylusion reported that The Biological Computing Co. released mischief 1, an image-to-video model built on the open-weight Wan 2.2 that the company says it sped up using what it learned from lab-grown living neurons (the model itself runs on normal AI chips). TBC claims Wan-level quality at five times the speed,...

Developers and studios that make short AI video clips may want to compare these cost and speed claims against Wan 2.2 and other tools. The figures come from the company and a social post, and the source does not include independent benchmarks, so results should be tested before anyone relies on them. Watch for published pricing, quality comparisons, and documentation of the neuron-based speedup.

Signal Strength 91% Technical label WATCH Public Interest 43 Category OPEN SOURCE Reader Depth TECHNICAL

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Recognizable Entity Score 0 Practical Impact Score 64 Novelty Interest Score 94 Consequence Score 18 Curiosity Score 32 Shareability Score 57

VQV surfaced this signal because it is recent, relevant to AI Video, connected to Scobleizer News Pulse (X).