metropolis_4
Rock Star
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There are a variety of reasons I'm opposed to all this profiling/ML/AI/etc. stuff:
- To fully sample an amp takes years/decades so in practice you only get a handful of snapshots.
- The data is opaque. You can't edit the data as there are no parametric relationships. It's just a bunch of data with no insight into what any of it means.
- Fundamental understanding of how an amp works is lost. Someone can make/sell a product that has samples without any understanding of why tube amps sound the way they do. The more people lean on this technology the more this knowledge will be lost to time.
- You can't make virtual amps. You can't design an amp completely in the virtual domain. You can only sample what already exists. So you can't make a virtual amp that does things that real tube amps can't do (i.e. FAS Modern).
- Guitar tone will never evolve. If we relegate ourselves to simply copying existing products we'll never evolve beyond that. We should be asking why did tube amps become the gold standard of guitar tone? Why did solid-state never gain widespread acceptance? What is it about tube amps that is pleasing? What can we improve upon? I have spent almost two decades now trying to answer those questions and I have some theories.
You know, I never thought of it that way before; it makes a lot of sense.
All of this new technology being used to simply copy the results of old technology. But it’s not actually capable of creating anything original or advancing guitar amplification. It can only imitate what already exists.
That would mean the only way to continue advancing guitar amplification would be to continue creating new physical amps so they could be copied in the digital realm. While modeling allows the ability to actually create new amps entirely within the digital realm.