We raised $100M for open and collaborative machine learning
great - somewhere in your game plan, please recognize that not  everyone is going to use opaque, trained-elsewhere binary blobs as base models; nor does everyone require CNN/DeepLearning to do useful, real research or invention. Things like python skLearn, an internally built supervised model or a few hundred of them; analysis runs that are done without logging into a cloud with AUTH linked to some records behind a closed glass door somewhere..If you are FAIR, then you let people try things without being attached to you.  agree?