They've been saying that for a while. Legit points, ymmv tho.Pretty sure, Eric, mentioned L6 would not be doing what anyone else
has done in that recent interview with them 2 P & W guys whose names
I can't recall, or probably never learned in the first place. I took it to mean
profiles/captures.
People can change their minds, but he seemed pretty staunch on that point.
If we’re going to take those comments literally I’ll wait here while L6 removes the modulation, distortion, cab, reverb, amp, and delay from Helix because most processors have those too.Pretty sure, Eric, mentioned L6 would not be doing what anyone else
has done in that recent interview with them 2 P & W guys whose names
I can't recall, or probably never learned in the first place. I took it to mean
profiles/captures.
People can change their minds, but he seemed pretty staunch on that point.
Two-Notes may pull one off if Genome is in any way indicative of their future intentions. Line6 may not want to go down this path but folks like Two-Notes and Atomic (looking past their track-record since COVID hit) may pull some nice surprises in this regard.If we’re going to take those comments literally I’ll wait here while L6 removes the modulation, distortion, cab, reverb, amp, and delay from Helix because most processors have those too.
L6 doesn’t necessarily need to enter the profile capturing space as there may be actual hardware limitations in Helix that make that a non starter, but if something approaching a “standardized” universal profile format materializes via NAM or someone else, then they should at least consider adding a profile player block in addition to their very capable circuit modeling, just as they’ve accommodated impulse responses.
It will be interesting to see how this shakes out long term. I wouldn’t expect L6 to approach supporting playing profiles until the smoke clears and we’ve settled on something approaching a universal standard - and I don’t blame them.Two-Notes may pull one off if Genome is in any way indicative of their future intentions. Line6 may not want to go down this path but folks like Two-Notes and Atomic (looking past their track-record since COVID hit) may pull some nice surprises in this regard.
Interesting - thanks for the clarification!QC/Kemper dont use the same technology, they are using distortion/amp models running through a bunch of secret sauce filters, its not an actual neural model, so the end result is probably less intense to run than a standard NAM model.
Of course. That said, NAM profiling has been pretty much constant (the profile "architecture" types the trainer spits out by default without tweaking under the hood) from close to when it started getting traction (last year in Jan / Feb).It will be interesting to see how this shakes out long term. I wouldn’t expect L6 to approach supporting playing profiles until the smoke clears and we’ve settled on something approaching a universal standard - and I don’t blame them.
Given the rapid iteration that we’re seeing with NAM development in the open source space, and signs of adoption from competitors, I suspect they’re eventually going to be forced to at least add support for playback.
I’m not sure this is true. Can anyone here say with authority that a NAM profile is more CPU intensive than a component-based model?
Good to know, thanks.NAM is based on WaveNet neural networks, and these are quite resource intensive, particularly for DSP hardware. This is also the technology used by ToneX, as far as i know.
Note that NAM now supports the so-called "nano" (i.e. lightweight) models, which require less hardware at the cost of slightly less fidelity.
Normal capturing technology is based on error delta reduction and EQ matching, which results in low DSP requirements. This is the approach used by Kemper, Headrush... and Neural DSP, despite all their "biomimetic AI technology" mumbo-jumbo.
tl;dr: NAM is (quite) more DSP/CPU intensive than a component model. Other capture solutions are the opposite.
Nano models do require less CPU but fidelity goes out the window on these profiles. They are good for boost pedals though but wouldn't use them for ampsNAM is based on WaveNet neural networks, and these are quite resource intensive, particularly for DSP hardware. This is also the technology used by ToneX, as far as i know.
Note that NAM now supports the so-called "nano" (i.e. lightweight) models, which require less hardware at the cost of slightly less fidelity.
Normal capturing technology is based on error delta reduction and EQ matching, which results in low DSP requirements. This is the approach used by Kemper, Headrush... and Neural DSP, despite all their "biomimetic AI technology" mumbo-jumbo.
tl;dr: NAM is (quite) more DSP/CPU intensive than a component model. Other capture solutions are the opposite.
So is Tonex using nano (my brain immediately jumps to the command line editor here lol) for its lower quality captures? I’ve noticed little to nil difference between the two quality levels across my Mark III and 2204 capture attempts. I swear my ears work, and this is on a pair of ADAM S2A. Maybe I should do another comparison to double check my memory.Nano models do require less CPU but fidelity goes out the window on these profiles. They are good for boost pedals though but wouldn't use them for amps
Unacceptable. Everything near my fat white body needs to get constantly more betterer or I’m going to be left here to work on my personality.In a sense, you could say the dust has settled at least as far as the quality of the profiles and their performance hit "out of the box" which is probably why we're starting to see hints of what may be coming next.
More like we won't copy someone else and then falsely claim we invented it. Fractal did IR loading before we did and at no point have we tried to convince people we did it first.Pretty sure, Eric, mentioned L6 would not be doing what anyone else
has done in that recent interview with them 2 P & W guys whose names
I can't recall, or probably never learned in the first place. I took it to mean
profiles/captures.
This post has literally put a big smile on my face. Thank you for being awesome.More like we won't copy someone else and then falsely claim we invented it. Fractal did IR loading before we did and at no point have we tried to convince people we did it first.
More like we won't copy someone else and then falsely claim we invented it. Fractal did IR loading before we did and at no point have we tried to convince people we did it first.