Suno

“Yeah, so, I mean, they're using model for, like, production infrastructure, like, they have their own, like, custom model, like, custom code and custom weights, you know, for AI-generated music, Suno.ai.”

“There's a big shout out to Andre Karpathy's nano GPT. You know, there's a lot of code borrowed from there.”

“It's actually, you can't really repeat too many times. You kind of, it gets like the hypothesis gets like a little too out of domain.”

“There's actually a lot of cultural forces that kind of cue you to not think to make music and that's kind of what we're trying to undo.”

“We care a lot about how many tokens per second we can generate because we need to stream new music as fast as you can listen to it. And so that is a big one that I think probably has us never get to a hundred seventy-five billion parameter model, if I'm being …”

“In fact, we, the first thing we ever put out was a speech model. It was Bark. It was this open source text-to-speech model, and it got a lot of stars on GitHub,”

“One of the places that we are particularly bad is vocals and at capturing really realistic vocals.”

“We try not to impose anything about music or audio in general into the model, and we kind of let the models learn things by themselves.”

“People are always surprised to learn that we don't only train on music.”

“We try to be very careful not letting you impersonate, and it is possible.”

“What we do is we benefit from all of the beautiful things people do with transformers and text, and we focus very hard basically on how do I tokenize audio in the right way.”

“As far as I know there was no other certainly not in the open source text to speech that was kind of transformer based.”

“We actually don't let you do that. And it's because if you're taking someone else's lyrics, you didn't own those. You don't have the publishing rights to those. You can't remake that song.”

“There are lots of professionals that we know about using our stuff, whether it's for inspiration or sample generation and stuff like that.”

“Yeah, actually more than half of the usage is that expert mode.”

“We're fairly popular in the blind and vision impaired community”

“As flawed as these benchmarks are in text, they're way worse in audio.”

“Suno ramp has rated as one of the top ranked fastest growing startups of the year. I think the last public number is like zero to twenty million this year in ARR and Suno runs on Moto. So Suno itself is not GPU rich, but they're just doing the training on, on …”

“Our biggest use case actually is elastic inference. And the thing we first found product market fit with was inference for custom models. So we kind of stayed away from the LM space and we were serving companies like Suno for audio, Runway for video, robotics …”

“They use modal for all their inference, and that's because they have like a custom, they have completely custom model architecture, and that means that they have to be at the code level and tweak things that are not Yeah, it's an API.”