Jaden Shafer

Way before ChatGPT, I was using AI generated music models, although they were terrible back in the day.

So this is a big upgrade, which I'm excited about.

The cool thing that you can do now is that you can basically make music that's a lot more realistic.

It has layered compositions.

You can adjust a lot of the elements inside of the song, like the style, the tempo and the vocals.

So you have a lot more control over what it sounds like and kind of its final sound.

It's not just like a static output that you get.

You can make some adjustments, which I think is great.

And I love these features that they're rolling out.

What I will also say is that they're extending Lyria 3 beyond Gemini.

So the model is being integrated into YouTube's Dream Track feature, which lets creators basically generate AI music for their video, which I personally think is fantastic as someone that also has done a lot of YouTube video creation in the past.

And this was kind of previously limited to creators in the United States, but now this is going to be expanded globally.

So I would expect, you know, a majority of YouTube videos are not created inside of America.

So this is a massive expansion that they're doing.

Now, what I will say is that Google has a pretty solid line around the limitations of what this model is able to do.

Gemini is definitely not meant to, you know, they're not trying to replace specific artists.

If there's a prompt that you put in there and you're like, hey, make me a Johnny Cash song or make me a Beyonce song, the whole, you know, the system is not going to create an exact replica of that artist.

It perhaps will make something that feels like a similar style or mood, but they're very careful not to, you know, be able to actually clone an actual artist.

And according to Google, they have a whole bunch of filters that are going to check the outputs against existing content.

So they're avoiding any direct copying.