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AI Instruments

You could ask is this the best use case for Ai in the grand scheme of things ?

"Best" is a pretty subjective word but I do think it's one of the least problematic uses in the music arena for sure.

Problem: At least in the professional orchestral library domain. Libraries are very large, take up tons of hard drive space, use a lot of CPU and takes some time to download and install or copy. The overall cost exceeds the cost of the products themselves as you have to also invest in very large and fast hard drives at a minimum. Of course you also need very fast RAM and CPU for tons of gigabytes of samples to load and unload in a reasonable amount time.

Potential Solutions: Physical modeling (SWAM, etc) is one potential solution to that problem. Small footprint, fast loading, great sound for some things. AI Neural network modeling as described here may be the ultimate answer in the future.

I guess we'll have to just wait and see what unfolds.
 
"Best" is a pretty subjective word but I do think it's one of the least problematic uses in the music arena for sure.

Problem: At least in the professional orchestral library domain. Libraries are very large, take up tons of hard drive space, use a lot of CPU and takes some time to download and install or copy. The overall cost exceeds the cost of the products themselves as you have to also invest in very large and fast hard drives at a minimum. Of course you also need very fast RAM and CPU for tons of gigabytes of samples to load and unload in a reasonable amount time.

Potential Solutions: Physical modeling (SWAM, etc) is one potential solution to that problem. Small footprint, fast loading, great sound for some things. AI Neural network modeling as described here may be the ultimate answer in the future.

I guess we'll have to just wait and see what unfolds.
SWAM is interesting, I don't have any SWAM vsti's but have been reading some of the info about them and yes I agree.
A small footpring and sound modelling is presenting a different method of being expressive, other than "Articulation=sample etc...
When you think about the human experience and the rate of developing tech I do believe we will have to grow with it or surrender control to an algo.

Yes. The Neural Network is a fascinating subject and the possibilities I guess become exponential.
There's a lot of money being poured into Ai. and the argument/discussion as to thought process = the human Philosophical experience has been argued Ad infinitum. Source Wiki "Ai The Chinese room", along with an ever growing discussion spread across the web.

The end game for me is to bridge the gap that my aged and failing bones are creating, so If tech can help and keep it enjoyable I'm in.

Kindest regards
 
Just so I better understand the technical differences myself, I asked AI to illuminate the differences between those two things.

These links never scroll to the top so you'll have to scroll up to read it from the beginning. I actually didn't know that Pianoteq was physical modeling.

 
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