Authentic Artists is launching AI-driven DJs for the metaverse

The James Murdoch-backed startup is getting ready to unleash some of its unlikely artists onto Twitch's audience.

Authentic Artists is launching AI-driven DJs for the metaverse

Just a few DJs hanging out.

Image: Authentic Artists

The internet's next breakout star may be part iguana.

DJ Dragoon, as the up-and-coming artist with lizard DNA is called, did a few gigs on Twitch late last year. Now, he is getting ready to turn up the volume and go live again, accompanied by a gang of equally surreal friends that include a female DJ with a cyborg eye and a pint-sized bunny who likes to spin trap beats.

This crew of unlikely characters was conceived by Authentic Artists, a startup that came out of stealth Wednesday with an intriguing proposition: Authentic Artists develops virtual beings that can perform live and interactive music sets online. In the coming weeks, the company wants to unleash Dragoon and his friends onto audiences on Twitch, with plans to eventually bring them to metaverse platforms like Roblox and Fortnite as well.

"Virtual entertainment is the new cultural center of gravity," Authentic Artists founder and CEO Chris McGarry told Protocol.

Authentic Artists has developed a dozen such virtual DJs thus far, and is powering their performances with a custom-built AI music engine that uses a catalog of 130,000 MIDI files to generate performances in real time. The resulting music is being fed into the company's animation pipeline, and there's a feedback mechanism for Twitch audiences to change the course of a set. "Our AI-driven artists have musical superpowers," McGarry said.

Each of the performances is completely unique, and McGarry said that he is discouraging his team from taking too much inspiration from real-life artists. "Our mandate is to imagine a new frontier in music," he said. "We are not trying to create a digital facsimile of what already exists."

Authentic Artists has been able to attract a number of high-profile backers, including James Murdoch and his investment arm Lupa Systems, Roblox Chief Business Officer Craig Donato and hip-hop producer Young Guru. McGarry didn't want to talk about business models just yet, but suggested that there were a range of opportunities to monetize virtual artists down the line.

The company is coming out of stealth just as musical performances on platforms traditionally thought of as online games are getting increasingly popular. When Lil Nas X took to Roblox in November, his performance was watched by 30 million users from all around the world, prompting Donato to tell Protocol that Roblox was planning to host a lot more concerts.

"They see the power of music in those environments," McGarry said. And to audiences who are already comfortable with esports and metaverse environments, it may not matter all that much whether those artists are real or AI-powered.

And who is to say a half-lizard isn't as compelling as any other public persona? Authentic Artists is already planning to launch Instagram and SoundCloud profiles for Dragoon and his friends. "They do have backstories, origin stories," McGarry said. "We are creating fully three-dimensional artists."

Fintech

Judge Zia Faruqui is trying to teach you crypto, one ‘SNL’ reference at a time

His decisions on major cryptocurrency cases have quoted "The Big Lebowski," "SNL," and "Dr. Strangelove." That’s because he wants you — yes, you — to read them.

The ways Zia Faruqui (right) has weighed on cases that have come before him can give lawyers clues as to what legal frameworks will pass muster.

Photo: Carolyn Van Houten/The Washington Post via Getty Images

“Cryptocurrency and related software analytics tools are ‘The wave of the future, Dude. One hundred percent electronic.’”

That’s not a quote from "The Big Lebowski" — at least, not directly. It’s a quote from a Washington, D.C., district court memorandum opinion on the role cryptocurrency analytics tools can play in government investigations. The author is Magistrate Judge Zia Faruqui.

Keep ReadingShow less
Veronica Irwin

Veronica Irwin (@vronirwin) is a San Francisco-based reporter at Protocol covering fintech. Previously she was at the San Francisco Examiner, covering tech from a hyper-local angle. Before that, her byline was featured in SF Weekly, The Nation, Techworker, Ms. Magazine and The Frisc.

The financial technology transformation is driving competition, creating consumer choice, and shaping the future of finance. Hear from seven fintech leaders who are reshaping the future of finance, and join the inaugural Financial Technology Association Fintech Summit to learn more.

Keep ReadingShow less
FTA
The Financial Technology Association (FTA) represents industry leaders shaping the future of finance. We champion the power of technology-centered financial services and advocate for the modernization of financial regulation to support inclusion and responsible innovation.
Enterprise

AWS CEO: The cloud isn’t just about technology

As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times.

Photo: Noah Berger/Getty Images for Amazon Web Services

AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services.

It will be the second re:Invent with CEO Adam Selipsky as leader of the industry’s largest cloud provider after his return last year to AWS from data visualization company Tableau Software.

Keep ReadingShow less
Donna Goodison

Donna Goodison (@dgoodison) is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. Based in Massachusetts, she also has worked as a Boston Globe freelancer, business reporter at the Boston Business Journal and real estate reporter at Banker & Tradesman after toiling at weekly newspapers.

Image: Protocol

We launched Protocol in February 2020 to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication.

As of today, we will not publish any more stories. All of our newsletters, apart from our flagship, Source Code, will no longer be sent. Source Code will be published and sent for the next few weeks, but it will also close down in December.

Keep ReadingShow less
Bennett Richardson

Bennett Richardson ( @bennettrich) is the president of Protocol. Prior to joining Protocol in 2019, Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group. Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB. Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University.

Enterprise

Why large enterprises struggle to find suitable platforms for MLops

As companies expand their use of AI beyond running just a few machine learning models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

As companies expand their use of AI beyond running just a few machine learning models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

Photo: artpartner-images via Getty Images

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. But this spring when the company was in the market for a machine learning operations platform to manage its expanding model roster, it wasn’t easy to find a suitable off-the-shelf system that could handle such a large number of models in deployment while also meeting other criteria.

Some MLops platforms are not well-suited for maintaining even more than 10 machine learning models when it comes to keeping track of data, navigating their user interfaces, or reporting capabilities, Matthew Nokleby, machine learning manager for Lily AI’s product intelligence team, told Protocol earlier this year. “The duct tape starts to show,” he said.

Keep ReadingShow less
Kate Kaye

Kate Kaye is an award-winning multimedia reporter digging deep and telling print, digital and audio stories. She covers AI and data for Protocol. Her reporting on AI and tech ethics issues has been published in OneZero, Fast Company, MIT Technology Review, CityLab, Ad Age and Digiday and heard on NPR. Kate is the creator of RedTailMedia.org and is the author of "Campaign '08: A Turning Point for Digital Media," a book about how the 2008 presidential campaigns used digital media and data.

Latest Stories
Bulletins