Fortune has exclusively learned Pigment is approaching $100 million in ARR, having doubled ARR for a third consecutive year. The company has grown its customer base 74%, with leaders like Uber, Unilever, Anthropic, Siemens and more using Pigment, and 57% of new revenue coming from enterprise customers. More than half of Pigment’s new customers in 2025 migrated from SaaS giants, Crespo says, a 115% year-over-year increase in replacement.
func (*Option) ArgInt8 ¶
，更多细节参见heLLoword翻译官方下载
阶梯医疗最早的原型机参考了人工耳蜗等第三类有源植入医疗器械、电交互系统。但他们很快发现，人工耳蜗的通量一般是16-32，但脑机接口动辄需要上千通道数，依照其既有的封装方式很难向上迭代。因此，第二代系统几乎是推翻重来。
Compute grows much faster than data . Our current scaling laws require proportional increases in both to scale . But the asymmetry in their growth means intelligence will eventually be bottlenecked by data, not compute. This is easy to see if you look at almost anything other than language models. In robotics and biology, the massive data requirement leads to weak models, and both fields have enough economic incentives to leverage 1000x more compute if that led to significantly better results. But they can't, because nobody knows how to scale with compute alone without adding more data. The solution is to build new learning algorithms that work in limited data, practically infinite compute settings. This is what we are solving at Q Labs: our goal is to understand and solve generalization.