BioComputing 推出基于神经元实验的 mischief 1 视频模型 API
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.
BioComputing 推出名为 mischief 1 的图像转视频模型 API，它把在约 4000 个电极芯片上培养的人类神经元处理信息的方式，应用到开源视频模型 Wan 2.2 上。该模型在 Wan 2.2 基础上增加不到 0.1% 的参数，公司称其质量与 Wan 2.2 持平、速度提升 5 倍，每秒 0.5 美分起，已在 fal 和 OpenRouter 上线，并将登陆 AWS Marketplace。模型本身不含活体细胞。
查看原帖今天，我们向世界带来一点小小的恶作剧。 四年来，我们一直在电极上培育真正的脑细胞，以理解它们如何进行计算。现在，我们把这些发现转化为一个任何人都能使用的视频模型。 从每秒 0.5 美分起，mischief 1 的速度至少是其基础模型的 5 倍，并且是 @fal 和 @OpenRouter 上最便宜的图像转视频模型。很快将登陆 @awscloud 市场。 这不再是幻觉。生物计算是真实的、商业化的，而这仅仅是开始。 万圣节快乐。
查看原文
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.
正文
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://t.co/lqAu9O09w8