What do you think of life-long learning scenario that models are trained incrementally forever? For example, I train a model with 1000 examples, it sucks. The next guy pick it up and train a new one by putting a regularizer over mine. It might still suck. But after maybe 1000 people, the model begins to get significantly better. Now, I will pickup what I left and improve it by leveraging the current best. This continues forever. Imagine that this community is supported by a block chain. We won't be relying on big companies any more eventually.