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Millions of musicians, fatigued by the algorithms of traditional social media, are turning to the community-first platform. But how does it work? And how do you get the most out of it?

Recent AI advances have caused equal parts excitement and existential fear, as artists grapple with the implications of an increasingly automated future.

“I think we need to move beyond recordings. We have to express the model itself.”

As revenue streams for artists become more precarious over time, merchandise has stepped in as a dependable alternative. At their best, these items can be artistic statements in their own right.

Jessica is the cofounder/CEO of AudioShake, a music startup that uses AI to break down songs into separate stems. They’ve raised several million dollars in funding, most recently led by celebrity investors like Metallica and Miley Cyrus.

Compared to tools like ChatGPT and Midjourney, music-making AI is behind the curve. But what’s coming next? And how can these tools help producers?

Is there a chance to creatively and ethically leverage the power of this technology to further our work? Here’s a framework to make it happen.

The more we delve into music AI software beyond the major DAWs, the more we feel the silent hand of the “time-to-fun” metric at work.

Amber is an investor and founder (her community software startup Zyper was ​acquired​ by Discord) and author of the book ​The Rise of Virtual Communities​.

For many observers, it can feel like Web3 is in the grips of an identity crisis.

We’ve been pondering when music will get its “Midjourney moment” — namely, when high-quality song creation will become as easy for the everyday user as clicking a button.

The way the gaming industry is approaching creator payments could be a critical reference as rights holders continue to push for reform in streaming payout models at large.