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"Mischief 1" video model claims speed gains from lessons drawn from living neurons

According to a post on X by @alexksendzovsky, a company spent four years growing brain cells on electrodes to study how they compute, then used those findings to build an image-to-video model called "mischief 1." The company claims the model is at least 5x faster than its base and the cheapest on fal and OpenRouter, starting at 0.5 cents a second. The post says the neurons never leave the lab and instead inspired software optimizations to a conventional model built on Wan 2.2. The source snippet is truncated, so further details are not available here.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-10-30T21:45:00+00:00 Detected 2026-10-31T01:25:31+00:00
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According to a post on X by @alexksendzovsky, a company spent four years growing brain cells on electrodes to study how they compute, then used those findings to build an image-to-video model called "mischief 1." The company claims the model is at least 5x faster than its base and the cheapest on fal and OpenRouter, starting at 0.5 cents a second. The post says the neurons never leave the lab and instead inspired software optimizations to a conventional model built on Wan 2.2. The source snippet is truncated, so further details are not available here.

AI-assisted summary based on the listed source.

The company says it spent four years growing brain cells on electrodes to study how they compute and turned those findings into an image-to-video model it claims is at least 5x faster than its base and the cheapest on fal and OpenRouter, from 0.5 cents a second. Eric Buess explains that the neurons never leave the...

Builders and businesses using image-to-video tools on fal or OpenRouter may care about the claimed speed and per-second pricing, but these are company claims that VQV has not independently checked. The next thing to watch is whether the speedup and pricing hold up in outside testing, and whether the company publishes more detail on the optimizations. The neuron-based research is the unusual angle, but the post suggests the living neurons are not part of the product itself.

Signal Strength 81% Technical label WATCH Public Interest 28 Category RESEARCH Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 26 Novelty Interest Score 70 Consequence Score 10 Curiosity Score 32 Shareability Score 46

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