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Rohan Paul· @rohanpaul_ai · X·· 8 小时前AI 评分58
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BioComputing 推出图像转视频模型 mischief 1,把在约 4000 个电极芯片上培养的人类神经元网络的处理方式,应用到开源视频模型 Wan 2.2 上。

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Truly Wild stuff: a lab grew living brain cells, studied how they think, and shipped what it learned as an API you can call today.

TBC mischief 1 is that API: findings from neurons on electrodes, applied to an existing image-to-video model (Wan 2.2) .

mischief 1 applies a layer of this kind to Wan 2.2, adding less than 0.1% to its parameters, and the company claims it matches Wan 2.2’s quality at 5x the speed.

@BioComputingCo grows living human brain cells on chips with about 4,000 electrodes, where the neurons form their own networks, receive images as electrical stimulation, and their responses are decoded to improve AI models.

The path from dish to endpoint:

Grow neurons on electrodes
Measure how they process information
Take an existing open-weight video model and change it based on those observations
Ship the model, with no cells inside

https://x.com/alexksendzovsky/status/2116153410101944352/video/1

引用Alex Ksendzovsky@AlexKsendzovsky
today, we introduce a little mischief to the world. for four years, we’ve been brewing real brain cells on electrodes to understand how they compute. now, we’ve turned those discoveries into a video model anyone can use. from 0.5¢ a second, mischief 1 is at least 5x faster than its base and the cheapest image-to-video model on @fal and @OpenRouter. soon to be on @awscloud marketplace. it’s not a delusion anymore. biocompute is real, commercial and this is just the beginning. happy halloween.
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来源:Rohan Paul · x.com