But don't kid yourself, if you have ever been to CVPR, or one of the machine learning conferences you see all of the papers trying to squeeze a few more % accur

But don't kid yourself, if you have ever been to CVPR, or one of the machine learning conferences you see all of the papers trying to squeeze a few more % accuracy on a test set out of existing algorithms. Maybe one or two papers actually do something novel. Rarely will their be a new approach altogether. The point I am trying to make is that one shouldn't get star eyed by leading researchers in the field and assume they can't contribute. Simple novel ideas have led to massive changes in the industry.