1) Try that DBT, I'll be interested to see the results since almost no DBT's have ever shown a difference between cables, amps, pre-amps, etc. Heck, they can't even show a difference between violins
2) computers are only as good as their input. Trying to emulate a natural system is useful in many ways, but since we can't measure every aspect of a natural system, the emulation will always be imperfect. For many applications that may not matter, but obviously for many others it matters a lot.
3) I'm a big fan of technology, but every scientist (and many educated non-scientists) know that our ability to gather and manipulate data far exceeds our understanding of that data. Look at the medical field, in the US at least: virtually every medical instrument is computer controlled, and most can gather and manipulate vast amounts of data. Interpreting that data and applying it to the real world lags by 10 years or more. It's essentially impossible to practice evidence-based medicine, there is just too little evidence; we are so fascinated by our toys and what they can do that few researchers are bothering to find out what the actual outcomes of using that data are. When we do, it is often apparent that the wealth of data is for the most part meaningless; either there are no correlates with the human body, health and disease, or what correlations there are are misleading and lead to worse outcomes.
2) computers are only as good as their input. Trying to emulate a natural system is useful in many ways, but since we can't measure every aspect of a natural system, the emulation will always be imperfect. For many applications that may not matter, but obviously for many others it matters a lot.
3) I'm a big fan of technology, but every scientist (and many educated non-scientists) know that our ability to gather and manipulate data far exceeds our understanding of that data. Look at the medical field, in the US at least: virtually every medical instrument is computer controlled, and most can gather and manipulate vast amounts of data. Interpreting that data and applying it to the real world lags by 10 years or more. It's essentially impossible to practice evidence-based medicine, there is just too little evidence; we are so fascinated by our toys and what they can do that few researchers are bothering to find out what the actual outcomes of using that data are. When we do, it is often apparent that the wealth of data is for the most part meaningless; either there are no correlates with the human body, health and disease, or what correlations there are are misleading and lead to worse outcomes.