Yeah, so actually it was ... It's a stupid story because I had these adversarial examples lying in my drawer for more than a year, or almost two years. I discovered them in 2011, but then Wojciech came to me and wanted to write a paper with all kinds of ... So, I was too lazy to publish it and then Wojciech said, "Okay, you have this thing and we can combine with other stuff and then publish a joint paper with various intriguing properties." And as people started to bail out and they didn't put their own stuff because it was, like, not interesting enough or whatever, and then the paper mostly was about adversarial examples.

But if I would have known it beforehand, I would have just wrote a paper, like, with Wojciech alone, or maybe completely alone, and then I'd have ... like, just with the title of Adversarial Examples. So, actually, we planned with my manager to write a paper with a title like Blind Spots in Neural Networks a year earlier just on that topic, but we just ... I just was too lazy to do it.

I think that goes back to another one of your questions, what should we do about AI and being misused?

So, a lot of people do lip service and say, "Yeah we do this and that." But I think it's, so how do you combat certain negative effects of machine learning. And what are those negative effects, because a lot of them are kind of invisible. So, how do people make decisions about our lives, so basically like type. For example, insurance companies, agencies and stuff like that. So, all this and this is just a small thing I don't really know everything, so as AI gets applied more and more then all these biases that go into the AI systems will affect everybody more and more. And I think that's something one should do much more research and take it much more seriously.