A random idea: in this article, they talked about a Feature Store shared across teams. Feature extraction also seems a major bottleneck in their modeling. It seems a very natural and valuable thing to have a platform to share "generic features".

Yann LeCun said once a deep neural network predicts many targets, say 1000 classes in ImageNet, it is possible for the model to learn quite generic features. So it makes sense to pre-train on a large amount of data and a reasonable number of targets, and then share the learned feature extractors with others.

Could this be a business? Or a community? Thoughts?