This is great! I disagree with some of the commenters here that the originals sound better.
The originals sound very much like demos, and from a producer's perspective are very low quality (no offense). They're definitely more raw, but objectively not as good - i.e harmonies aren't tight, the levels are not well balanced, etc.
It's funny that people hate that AI can improve this, because even without AI, modern music uses a ton of digital tools to mix and master - and true musicians don't care whether it's digital or not.
These commenters would be the same people who boo-ed bob dylan when he went electric.
Look at John Mayer - he uses AI to model amps, instead of lugging around giant heavy tube amps.
Question for you - what was the workflow exactly? I've been wanting to test out some AI tools to do similar things with my music.
Where are you getting that from, that they're ok with CSAM?
I think they've been clear that they want to follow the law.
Every image gen provider struggles with this. I worked for an image gen app years before it became popular (Wombo dream) - it's a hard problem to solve, there are sick people out there.
>The best feature is that it can delegate questions out to GPT-5.5 in the background, so you're no longer restricted to a voice model that's several years behind the frontier.
Ahh, this makes sense. I was wondering when they would start doing this. I stopped using voice mode all together because it was frustrating talking to a dumb AI, when most of the time I discuss things with Opus 4.8 or gpt 5.5.
I was working on a phone call agent recently, and thought about doing this. It makes sense
It really depends on what you're doing, but most LLM usage and agentic runs are pretty interchangeable in my experience, and it's usually trivial to switch.
If anything, you're better off supporting multiple LLMs as backup because most model providers have been so inconsistent with working all the time
nah, i distinctly remember family road trips as a kid. Driving was super stressful with my mom yelling about missing an exit as she reads the map, getting lost in a not so nice neighborhood, etc.
Take a hotel for example - it's nice to have a butler, someone at the front desk, and a waiter, perhaps. But you don't need the cleaning crew, the kitchen staff, etc, that run behind the scenes. These you could replace with robots, no problem.
So how much should they be rewarded? You suggest a cap? What prevents someone that's more poor than you deciding that you nobody needs to make more money than them, so now you should make less money?
no, it's not. It's math. If you make a rule that you lower the person at the top of the pile, over time, there will be nobody left to lower - everybody will be at the top of the pile.
The fact people say 1 billion is too much money, or 1 trillion is too much is something to dig into - the number is relative! 1 billion is only a lot because not many people have a billion dollars. If inflation keeps up, one day everybody will be a billionaire.
The originals sound very much like demos, and from a producer's perspective are very low quality (no offense). They're definitely more raw, but objectively not as good - i.e harmonies aren't tight, the levels are not well balanced, etc.
It's funny that people hate that AI can improve this, because even without AI, modern music uses a ton of digital tools to mix and master - and true musicians don't care whether it's digital or not.
These commenters would be the same people who boo-ed bob dylan when he went electric.
Look at John Mayer - he uses AI to model amps, instead of lugging around giant heavy tube amps.
Question for you - what was the workflow exactly? I've been wanting to test out some AI tools to do similar things with my music.