@@davlavmusic7070 I tested it with a Hotone Ampero. It doesn't give me specific instructions for that, only general recommendations. You have to offer the options (like what amps are available, pedals, cabs, EQ types, etc) and then it picks one and suggests the settings
@@davlavmusic7070 that's a danger with LLM. It's called "hallucinations". With some problems, there are ways to get more surety in the answer by using separate prompt(s) to cross check the response, but this is such an open-ended problem, I think that's not practical. But even if it can give you hints about what equipment the artist was using, that's hugely useful.
@davlavmusic7070 can't wait until modeling units come built in with full AI and chat gpt integration. I imagine, at that point , we just fire up the Isolated guitar track from our favorite guitarist, AI listens and automatically dials in every setting in the signal chain to match the frequency of the original
I have been using CharGPT quite a bit for this kind of thing. I also tell it what physical pedals I have that could augment the sound from the QC. Great video! Thanks.
the 1.2k at the end Is stimulating the eq in the console. i usually put the chorus at the end and put the reverb and delay in parallel before the chorus
You could create a custom gpt with the quad cortex manual and what the things are called in the qc. Then it would give you better answers and you don’t have to tell it every time what you’re trying to do.
I've seen similar posts from other people and thinking about it, I think it's a bad idea to use large language models in just about everything 'because we can'. Especially where your own creativity is a big part of a result that you should be proud of. I rather spend hours extra to learn doing or understanding something myself then have AI taking over, making me dumber in the process as you will start relying on AI over time (and thus contribute to more energy consumption, pollution and its consequences). Sorry for the rant, intended as food for thought.
I never thought of doing this. I can see me hammering ChatGPT as well as my QC now 😂
Thank you for the advice, I gave it a go and it's a bit hit and miss, but definitely fun to do.
Yeah, it's not fool proof but it can be a useful source of info. You still need to understand the ins and outs of using the device.
@@davlavmusic7070 I tested it with a Hotone Ampero. It doesn't give me specific instructions for that, only general recommendations. You have to offer the options (like what amps are available, pedals, cabs, EQ types, etc) and then it picks one and suggests the settings
🔥🔥🔥WOW ! XLn't !!! 🔥🔥🔥 🙏
This is a great idea. I'm going to give this a try. BTW, on the order of the blocks, you can just give ChatGPT guidance on that in the prompt.
True, but it seemed so sure of itself! 😆
@@davlavmusic7070 that's a danger with LLM. It's called "hallucinations". With some problems, there are ways to get more surety in the answer by using separate prompt(s) to cross check the response, but this is such an open-ended problem, I think that's not practical. But even if it can give you hints about what equipment the artist was using, that's hugely useful.
@davlavmusic7070 can't wait until modeling units come built in with full AI and chat gpt integration. I imagine, at that point , we just fire up the Isolated guitar track from our favorite guitarist, AI listens and automatically dials in every setting in the signal chain to match the frequency of the original
I have been using CharGPT quite a bit for this kind of thing. I also tell it what physical pedals I have that could augment the sound from the QC.
Great video! Thanks.
genius!!!!
the 1.2k at the end Is stimulating the eq in the console. i usually put the chorus at the end and put the reverb and delay in parallel before the chorus
You could create a custom gpt with the quad cortex manual and what the things are called in the qc. Then it would give you better answers and you don’t have to tell it every time what you’re trying to do.
Or even just upload the manual as part of the chat first.
@@davlavmusic7070 that’s what I’ve done for some of my hardware haha
I've seen similar posts from other people and thinking about it, I think it's a bad idea to use large language models in just about everything 'because we can'. Especially where your own creativity is a big part of a result that you should be proud of. I rather spend hours extra to learn doing or understanding something myself then have AI taking over, making me dumber in the process as you will start relying on AI over time (and thus contribute to more energy consumption, pollution and its consequences). Sorry for the rant, intended as food for thought.
Personally, I’d rather be playing than tweaking.