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By Nick Venti, co-founder and CEO of TYGER

Where TYGER stands on generative AI music

Waveform of a recorded song representing real artists' music on TYGER

Short version: we don't make AI-generated music. TYGER exists to give the people who make music a new place to put it to work, and a new way for it to get used.

What TYGER actually uses AI for

We use AI to make recorded music flexible. Our adaptive music engine takes real songs, written and recorded by real artists, and lets them change in real time to fit what's happening in a game. A song can pull back when things are calm and hit harder when things get intense.

The music stays the artist's. The AI just helps it fit the moment. That's the whole reason we built the engine: to make recorded music more reliable and more usable in places like gaming, where it hasn't fit very well before.

Every song on TYGER is licensed, and artists get paid when their music is played.

So what do we think about Suno and other AI music generators?

If you made something on Suno that you love, listen to it and share it with your friends. That's fine. We're not here to tell anybody how to have fun with music.

Where we disagree is how a lot of generative AI music companies got started: training on artists' work without asking them and without paying them. We don't agree with those tactics.

If an AI music company goes and gets the licenses it needs, and the artists behind the music are getting compensated, that's a different story. We're fans of companies doing it that way, and we're glad to see more of the industry moving in that direction.

This isn't the Napster era, but people remember it

The music industry has been moving on AI a lot faster than it did the last time something this big came along. During the Napster years, the industry took too long to get involved. A lot of artists' careers took real damage while everyone scrambled to figure it out. It makes sense that nobody wants to repeat that.

But generative AI is a different kind of problem. Streaming changed how music got distributed. The songs were still the songs, made by the same people, owned by the same people. Generative AI raises questions about the music itself: what a model was trained on, who made what comes out of it, and who owns it. That's a copyright and IP question, not just a distribution question, and it's going to take a while to sort out.

Our bet: more opportunity for recorded music

We'll see how it all plays out. What we believe is that the best way to move music forward is to create more places where recorded music gets used.

Games are one of the biggest. People spend hours playing with the sound on, and most of the time the music they hear either wasn't made for that moment or isn't music they picked. That's the gap we're building for.

So that's where our focus is: real songs, from real artists, playing in a way that actually fits what's happening on screen. Want to see what that looks like? Read about how TYGER works as an AI DJ for your games.

FAQ

Nick is a touring musician and songwriter with placements in film and TV, and the founder of Mass and Measure Records.