Information embedded in a pre-trained model (Google isn't given out that data, just access to an artifact) is helpful if your application lines up to goals of t

Information embedded in a pre-trained model (Google isn't given out that data, just access to an artifact) is helpful if your application lines up to goals of the model. I think it's an open question how broad that alignment might be. It totally depends on the application. You can control the app, but you don't have control over the model. It will be useful to some apps but I don't think it is going to be the secret weapon in Google's fight against AWS as Ben's article suggests. It's a neat argument but I think it ignores the reality of applications and machine learning.