Most of the claims of the video and article seem to lead nowhere, or are commonly known and while mildly interesting, are easily explained by logical observation and analysis. Knowing them doesn't help get you anywhere (that would be an objective). If there is no objective to the video, then why watch it. This is starting to sound like some kind of relativism.
The success of PicBreeder is accomplished by individuals ability to see interesting things evolving and the vast number of real world similar objects they had to choose from. Of course an algorithm cannot replicate that because it is not creative. This does more to dis-prove natural evolution IMO because the images that took shape required creative intelligence to facilitate them doing so. As to the point of the final pictures only appearing when there was no particular objective, OK fair enough, but how does this help us? What new thing did we learn? We know that many inventions and innovations were discovered this way. Why is it an epiphany? The computer could not create a recognizable picture because it was only given one. If it had the google images library to match to, it would certainly come up with some very great pictures.
On the Living Image Project, The recognizable images didn't happen, because different people saw different things and voted different directions. This failed precisely because there was no objective. If the Living Image Project stated an objective (A teacup for example), it would have had far more success. This just goes to show that objectives are important because in the real world, there are needs. If the article and video was useful, it would have revealed something helpful about how to fill needs (objectives) in a better way. The majority of problems are solved with objectives in mind. This article and video never seem to recognize that. The conclusion almost seems to say that attempting to fill known needs is a problem in the world today.
In the Novelty search demo that was shown, the biped that used the novel behavior algorithm walked better than the farther distance algorithm only explains the constraints that the failing algorithms had. All it proves is that when an algorithm has more choices to explore, in many cases it did better. To me this would be like telling someone to build the best house, car, ETC but only use the knowledge from 3 books. Tell someone else to do the same but use the internet, unlimited books, Talk to people ETC. Should we be surprised at the result? Kenneth Stanley seemed to be, and seemed to think it revolutionary. What new thing does this teach us in practical terms? Nothing. More stepping stones mean a better result. This is common sense.
It is no wonder the National Science Foundation would not give this guy any money. He hasn't taught us anything new. I want my 30 minutes of life back.