Mikey Shulman

OpenAI, they did every AI company a huge disservice because everybody thinks that just, like, empty text box is now the right interface, and it is for ChatGPT and it is incorrect for basically everything else. At some point, I don't know if it's version 4 or version 5, there will be a last model release that is released as a model. Everything else is just product releases.

OpenAI, they did every AI company a huge disservice because everybody thinks that just, like, empty text box is now the right interface, and it is for ChatGPT and it is incorrect for basically everything else. At some point, I don't know if it's version 4 or version 5, there will be a last model release that is released as a model. Everything else is just product releases.

OpenAI, they did every AI company a huge disservice because everybody thinks that just, like, empty text box is now the right interface, and it is for ChatGPT and it is incorrect for basically everything else. At some point, I don't know if it's version 4 or version 5, there will be a last model release that is released as a model. Everything else is just product releases.

Yeah, Suno is a way for everybody to experience all of the joys of music, meaning not just background listening to music, but losing yourself in the process of making music, of sharing music, of editing music, of being a much more active participant in music. You know, I like to think we're not making music, we're making musicians.

Yeah, Suno is a way for everybody to experience all of the joys of music, meaning not just background listening to music, but losing yourself in the process of making music, of sharing music, of editing music, of being a much more active participant in music. You know, I like to think we're not making music, we're making musicians.

Yeah, Suno is a way for everybody to experience all of the joys of music, meaning not just background listening to music, but losing yourself in the process of making music, of sharing music, of editing music, of being a much more active participant in music. You know, I like to think we're not making music, we're making musicians.

I wouldn't call it a pivot. You know, we always knew that audio was really far behind the world of text. You know, that's where we came from. Our backgrounds are all NLP. And we thought it would actually be a lot harder to do good generative stuff. And so we thought the first product would be more sense-making. You know, try to scratch your head and think back to like GPT-2.

I wouldn't call it a pivot. You know, we always knew that audio was really far behind the world of text. You know, that's where we came from. Our backgrounds are all NLP. And we thought it would actually be a lot harder to do good generative stuff. And so we thought the first product would be more sense-making. You know, try to scratch your head and think back to like GPT-2.

I wouldn't call it a pivot. You know, we always knew that audio was really far behind the world of text. You know, that's where we came from. Our backgrounds are all NLP. And we thought it would actually be a lot harder to do good generative stuff. And so we thought the first product would be more sense-making. You know, try to scratch your head and think back to like GPT-2.

No one was really making interesting text with GPT-2. But GPT-2 was like this... interesting tool for understanding text. And that's where we thought we would be stuck for a couple of years until we learned to scale these things up. And it turned out we were wrong. And that good generative capabilities came out much, much sooner. And so the interesting thing here is the ability to generate stuff.

No one was really making interesting text with GPT-2. But GPT-2 was like this... interesting tool for understanding text. And that's where we thought we would be stuck for a couple of years until we learned to scale these things up. And it turned out we were wrong. And that good generative capabilities came out much, much sooner. And so the interesting thing here is the ability to generate stuff.

No one was really making interesting text with GPT-2. But GPT-2 was like this... interesting tool for understanding text. And that's where we thought we would be stuck for a couple of years until we learned to scale these things up. And it turned out we were wrong. And that good generative capabilities came out much, much sooner. And so the interesting thing here is the ability to generate stuff.

And so we kind of very quickly threw out the sensemaking tool.

And so we kind of very quickly threw out the sensemaking tool.

And so we kind of very quickly threw out the sensemaking tool.

For music, it's very different from text. And I think people will very sloppily look at the world of OpenAI and Anthropic and the hyperscalers and say, audio is just a couple of years behind, which it is, but that scale is going to solve all these things. But unlike those domains where you're trying to just get more and more answers to objective problems. Like I want to get a better SAT score.

For music, it's very different from text. And I think people will very sloppily look at the world of OpenAI and Anthropic and the hyperscalers and say, audio is just a couple of years behind, which it is, but that scale is going to solve all these things. But unlike those domains where you're trying to just get more and more answers to objective problems. Like I want to get a better SAT score.

For music, it's very different from text. And I think people will very sloppily look at the world of OpenAI and Anthropic and the hyperscalers and say, audio is just a couple of years behind, which it is, but that scale is going to solve all these things. But unlike those domains where you're trying to just get more and more answers to objective problems. Like I want to get a better SAT score.

I want to do better on this benchmark. Music is totally subjective. So scale is not the answer to all the problems. So the models stay relatively small. And there are other techniques that you have to use to actually have these things have good taste.

I want to do better on this benchmark. Music is totally subjective. So scale is not the answer to all the problems. So the models stay relatively small. And there are other techniques that you have to use to actually have these things have good taste.