I think it's a great way to bill enterprise customers for a ton of compute.
The intersection of people who can't train a machine learning model but can properly use and evaluate one is really small. Doing a brute force architecture search to squeeze out an extra percentage point of accuracy is not that useful.
Few shot learning is a much more interesting proposition and it's something that Clarifai offers.
What do you think about the auto ml business model?
I.e. give each customer the ability to create its own models (using thier own data), but automating the model training and deployment?