Thanks for your comment, Andy. This essay is purely about principles, and we are in fact hoping to take things further. In the abstract of my paper How observers create reality I say "[Wheeler's] creative process is accounted for on the basis of the idea that nature has a deep technological aspect that evolves as a result of selection processes that act upon observers making use of the technologies. This leads to the conclusion that our universe is the product of agencies that use these evolved technologies to suit particular purposes". In the present work the issue discussed is essentially the logic underlying this kind of evolutionary process, and ultimately one would hope to be able to say something about the details by working on relevant models. That's a long way ahead, but that is sometimes the case with novel approaches.
This is maybe a point to address the question of how one can justify a theoretical claim. Dr. Sarfatti is wrong to think that such justifications need to be of a mathematical character, a counter-example being computer software, where the source code may characterised in non-mathematical terms (e.g. a piece of code may be annotated as 'if client clicks on cancel, delete his entry' to permit checking its validity. One might in theory reformulate such statements in mathematical terms, but it would not be helpful to do so. And going on from there, consider Osborne's computer simulation of acquiring balance, listed in the references, which implemented a model of skill acquisition due to Baas. Baas's idea was falsifiable in the sense that the simulation might simply never have ended up learning to balance. Of course the program did need to use maths to compute the behaviour, but the idea it was testing was expressible in terms of ordinary language.
So the logic here is: this essay involves a description in terms of words, comprehension of which can be expressed in terms of computer models, which can either confirm the claims of the description or not. If they do not, one looks for a better model, and may thereby progress to a hypothetical understanding of some phenomenon of interest, and one can then go on to see how well this picture fits experiment. That is science for you! (and, incidentally, this procedure is not working out so well with conventional approaches such as supersymmetry where nature is not proving obliging. I suggest, quite seriously, that people working in these fields switch to this new approach!).