Fintech

Social media made photography cheap. NFTs could make it profitable again.

Justin Aversano thrived selling photographs as NFTs, and now his startup is helping others sell theirs.

Quantum Curated screenshot

Quantum Art is an NFT marketplace for photographers; here is Shawn Theodore's work.

Image: Shawn Theodore/Quantum

Justin Aversano is known for selling one of the highest-grossing photographs ever.

Now he’s going after a much bigger challenge: trying to make photography (and other art) profitable for the many who have felt taken advantage of by the rise of social media and instantly shareable content.

His startup Quantum Art is an NFT marketplace for photographers. The photographs have been moving fast, with about $10 million in total sales so far. The highest price paid was 15 ETH, or more than $47,000.

Bringing offline artists into NFTs so they can pay their bills and live off their work is a striking change for many in the photography world. For the NFT world, which was popularized early on with pixelated, ironic artwork, it means an injection of serious artwork. And for both groups, it’s a striking riposte to the “right-click, save” attitude that’s reflexively dismissive of internet art.

A clear way to sell photography and fight rip-offs is a meaningful change in an industry where photographers typically promote their work on Instagram or other free social media platforms. Aversano sees Quantum as a way to address some of the challenges the internet presents for artists.

“We were getting paid in likes and comments, and all of our works were being devalued because of how scrollable things became, and [we] lost our appreciation for images and made everything disposable,” Aversano said.

Previously, many artists had to pay for their own promotion and hope to get discovered. But now that’s changed, he said.

Photo: Shawn Theodore
Kulundi's Embrace

While NFTs have become popular for speculators, they have especially taken off for certain types of digital art — think Bored Ape Yacht Club or CryptoPunks selling for millions. But for fine artists who aren’t crypto-native, the crypto model can seem inaccessible.

Aversano had proved for himself that NFTs could work for photography. Last year, he sold 100 NFTs from his photography collection “Twin Flames” with help from crypto experts he met, like investor Gmoney. He originally hoped to pay off his debts for creating the series.

The collection of 100 photographs, each of a different pair of twins, is a tribute to and reflection on Aversano’s own twin who passed away in utero. “Twin Flames” was minted in February 2021 and many of its pieces have sold for sky-high prices. Collectors include Gary Vaynerchuk and Snoop Dogg. And one of the NFTs was sold in a live auction at Christie’s along with printed, physical photographs for $1.1 million.

And one of Aversano’s “Twin Flames” NFTs sold in November for 871 ETH, or just more than $4 million at the time — reportedly one of the most expensive photographs ever sold. The sale’s proceeds of 850 ETH went to RAW DAO, a group set up to help photographers.

With NFT experience under his belt, Aversano co-founded Quantum Art with the help of others he had met working on “Twin Flames.” The goal is to make it possible for other photographers to get paid for their work, he said. It’s an outgrowth of work he’s done to help photographers display their work in person through a nonprofit he co-founded, SaveArtSpace.

Quantum, launched in October, started by selecting one photographer each week to release a series of new NFTs, then promoting the series to Quantum’s community of photography enthusiasts and collectors on Discord. A number of the projects have sold for high prices. Quantum seeks photographers with a unique perspective and a cohesive theme or narrative — the styles range from portraits to landscapes to social justice-themed images to the abstract. Buyers don’t get to choose which photo in the collection they purchase (in order to gamify the system, make it more fun and increase trading, Aversano said).

The community that has grown around Quantum is part of what makes the NFTs so popular, Aversano said. In the traditional art or photography world, the artists, collectors and art enthusiasts don’t always interact, except maybe at an art show. But in Quantum’s Discord, artists will join and meet others to talk about their work and develop relationships, he said.

“Artists take time to craft their style and their signature and their eye,” Aversano said. “And that's why we're seeing more success in Web3 — because people are slowing down. They’re not scrolling, they're paying attention to support photographers' work or all artists' work, and actually value these images more than in Web 2.0, where we were the ones paying corporations to show our work. Now it’s the other way around.”

Aversano now wants to build that community through a series of in-person art hubs, the first of which is planned in Los Angeles, he said. Quantum, which recently raised $7.5 million in series A funding led by True Ventures, also has plans to expand into other forms of art beyond photography, he said.

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