Chapter 1: What new music-making capabilities has Google integrated into Gemini?
Welcome to the podcast. I'm your host, Jaden Shafer. Today, guys, I am super excited because Google has officially rolled out some music making capabilities inside of Gemini.
Chapter 2: What are the features and capabilities of the Lyria 3 model?
And the reason why I'm excited is because Gemini has an absolutely massive footprint. So I'm excited to see what comes out of this because this is also getting rolled into YouTube and a bunch of other places. And as someone who personally has been making music and also making money from music since I was in college, This is interesting to me.
Chapter 3: How does Google ensure ethical use of AI in music generation?
I've played around with a ton of AI music generators. I have actually made a lot of money from them. I'll cover everything in the AI music industry. I've talked to a lot of artists. My wife is a musician.
Chapter 4: What is the current landscape of the AI music industry?
So I have a lot of interesting background and experience in this area. So I'll tell you why I'm excited about what Google has rolled out. Before we do that, almost even more exciting news.
Chapter 5: How does Lyria 3 compare to other dedicated AI music tools?
I'm super stoked to announce that AIbox.ai, my own startup, we just launched a complete redesign of our entire platform. It rolled out yesterday. If you haven't tried AIbox yet, I would love for you to check it out. You get access to over 50 of the top models that you can chat with all in one place.
You can do this for $8.99 a month, so you don't have to have $20 subscriptions to, you know, 20 different platforms. but also we have an entire AI app builder that you can explain what kind of tool you want, and it will create that. In the past, we got some feedback that it was a little bit complex, a little bit tricky. We have redesigned and streamlined the entire thing.
I personally have spent over two weeks painstakingly redesigning every single UI element. You are welcome. So if you want to check out what I have been building, go check out AIbox.ai. I would love to hear what you have to say about it.
I put blood, sweat, and tears into it, and I appreciate all of the people that have been listening to the podcast over the years who have invested in the project and helped us make this a reality.
Chapter 6: What are the limitations of AI-generated music according to Google?
So go check it out at AIbox.ai. All right, let's talk about what's going down with Google. So Google has just announced that they are rolling in music features into their AI model. It's DeepMind's Lyria 3 model. So they kind of have these Lyria models that are their music generation. What's cool is it's not just like a standalone website.
It's right inside of Gemini where they already have, you know, hundreds of millions of people actively using their Gemini app and Gemini.Google.com on the on desktop. And so you can actually just chat with it directly. Now, I was playing around this morning trying to check this out, and it isn't officially rolled out. So give it a couple days, give it a little while.
They're going to roll it out to everybody, which is exciting, but it's not currently live. But maybe by the time you listen to this podcast, it will be. So I think it's pretty straightforward. Basically, what you can do is you can describe a song that you want Gemini to build. You can ask it to be comical.
Chapter 7: How is Google expanding Lyria 3's capabilities beyond Gemini?
You can make it R&B. You can make it a slow jam. You can make it rock. And basically, Gemini is going to generate a 30 second track. It will also have lyrics in it and it's going to create cover art by Nano Banana. So what's interesting is you can actually upload a video or a picture and you can have Gemini make a song that matches the mood of that song.
of that image, which honestly, I think is a cool idea. So I'll tell you the good, the bad and the ugly about this product first, because I have watched some demos on it and, you know, from some of the things that it's capable of doing. The first thing that I'll say is this Lyria 3, it is definitely a big upgrade over Google's earlier music models.
These music models, by the way, have been, you know, coming out forever. Way before ChatGPT, I was using AI generated music models, although they were terrible back in the day.
But I think I still have some albums from when I was in college that I put out of symphony AI-generated music that was an interesting way for me to get into symphony music when I don't play any symphony instruments. So I considered myself an AI Mozart back then, but when I listen to the music today, I was maybe a little bit far off from Mozart.
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.
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Chapter 8: What challenges do AI music platforms face in the industry today?
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. And this isn't hard for Google, right? We know that like a copyright strikes are a very common thing that Google has some pretty solid technology for.
So on YouTube, if you make a YouTube video, even with someone else's, like just a copy of someone else's YouTube video, you can get a copyright strike. Someone else's video, you can get a copyright strike. Someone else's audio, and especially somebody else's music, you get a copyright strike. So they have a really good... They have a really good technology.
And even I was just recently with my wife, we were trying to figure out the name of a song and we were trying to use Shazam on my iPhone and it couldn't figure out the song and it was super annoying because I was like trying to hum part of the song. And so then I was like, oh, gee, what else could we do? And I was like Googling it and I realized that Google Music, which I happen to have,
also has that feature. So I go to the search bar in Google Music, hit the microphone, hum the song, and it actually pulled up the song right away. And it was kind of a funny, obscure song. But the point being, this is the exact same technology that Google is going to be using for... They've cracked this, basically, way better than even Apple's Shazam.
Because Apple's Shazam, you basically have to play the literal song. Like, if you're in the grocery store, you Shazam, and it can tell you what song's playing on the PA. Google is way better and you could just like hum the song in my horrible, probably off key humming. Right. So and it's able to pick it up. So Google is going to do a great job of this. I have no doubt. I'm excited about this.
They have the right guardrails in place to not rip off artists. And mostly I think they're just getting themselves out of lawsuits, but maybe even creators are going to stay out of lawsuits. So it's kind of a win win for everyone. Every single song that is generated with Lyria 3 is going to include a synth ID watermark. So basically this signals that it was created with AI.
You're not going to be able to hear this to just, you know, like a person listening to the music won't be able to tell, but there's just some frequencies in there that you can put this into an AI detector and it'll be like, yes, this was AI generated. Google's also adding some tools inside of Gemini that let users upload a track and then check if it contains synth ID markers.
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