Well, I'm a QA guy for a company that makes software used in hospitals. So, to me "knowing the expected output for a given input" is closely correlated with "reliable" and "trustworthy", and so yes, I tend to refer to deterministic algorithms positively. I realize the pressures on an advertisement-selecting algorithm are not the same. However I *ALSO* think that the DNA signals Google (or rather Google's advertisers) would be looking for are the less ambiguous things that are more easily detected with a simple deterministic algorithm. Yes, broader conclusions can be reached by letting a neural let look at a bunch of stuff. But an oncology clinic is going to be more interested in yes/no answers to questions like "does the searcher have DNA markers A,B,C,D,E [which are easily searchable deterministically]", and won't actually ask - or will rather assume the answer to - the underlying statistical question "do markers A,B,C,D,E correlate strongly to a predisposition to conditions that we can charge money to treat"?