Photo provided by UTA
Why Talent Agency UTA Is Going Big on NFTs
If you need more proof that NFTs have officially invaded Hollywood, look no further than United Talent Agency’s client roster.
The Beverly Hills-based talent agency recently signed Deadfellaz, an NFT collection of 10,000 zombie portraits. UTA counts Larva Labs, the creators behind the CryptoPunks NFT project, as a client, too. Even Coinbase, the publicly traded cryptocurrency exchange, is now part of UTA’s portfolio.
The agency’s foray into the crypto world shouldn’t come as a big surprise. Digital artists are selling NFTs, or non-fungible tokens, for sky-high prices. NFT exchanges like NBA Top Shot have attracted large fan bases willing to shell out money for digital collectibles. And entertainment companies in the music, film and gaming industries have been quick to venture into NFTs—even if there’s still plenty of skepticism about the digital assets.
“At first, my instinct was that this would be disruptive of things like art,” Lesley Silverman, UTA’s head of Web3 and a former fine art agent, told dot.LA. “We as an agency quickly realized that there would be similar innovation around the way we think about the broader media landscape, and that NFTs, and Web3 more broadly, would impact all of them.”
Silverman was the first full-time digital assets agent at UTA, which claims to be the first major talent agency to launch a dedicated Web3 practice. Other Hollywood talent agencies have since entered the fray—including rival WME, which recently signed a pair of Bored Ape NFTs.
Lesley Silverman, UTA’s head of Web3.
Provided by UTA
Initially, UTA aimed to help its existing clients navigate the Web3 world and launch NFT projects, such as a collaboration between Oscar-winning film score composer Hans Zimmer and NFT artist ThankYouX. But the agency soon realized that crypto is blooding a new generation of creators, founders and influencers who could use representation, Silverman said. Her team now helps clients like Deadfellaz secure brand partnerships, merchandising deals and live events—just like how UTA helps build the careers of actors, musicians and other entertainers.
“Our role is really to sit at the intersection of our clients and the things that may seem out of reach,” she said. “Their big ideas, their exciting plans—and the folks who they want to be connected to in order to carry those plans out.”
UTA has four people across the agency who work closely within the Web3 space, with plans to grow the Web3 group in the coming months. The group has facilitated more than 30 NFT drops, partnerships and other initiatives since launching in early 2021, according to the agency. The division has also worked to build a diverse talent roster, adding female-led projects and creators of color, Silverman said.
With the Web3 landscape constantly evolving, UTA will “remain nimble” when it comes to its NFT strategy, Silverman noted. One approach that’s currently resonating with fans is tying digital assets to real-world goods and experiences; indeed, the agency brokered a deal last month that will let Deadfellaz NFT holders create custom Gilson skis or snowboards depicting their own NFT artwork.
“It’s measurable that consumers want those things, and we are certainly not going to take that information lightly,” Silverman said. “Those are two areas that we will definitely look to expand and advise our clients to pursue.”
UTA recently commissioned a survey which found that while only 6% of U.S. consumers aged 16-to-54 have owned an NFT, about 38% want to own one in the future. Though the study’s results were bullish about the Web3 space overall, they did identify some obstacles; for instance, many consumers remain concerned about crypto scams and market volatility, or simply don’t know how to buy an NFT or what to do with one.
If the crypto industry can reduce those friction points, Silverman believes more consumers will flock to digital assets.
“All of that will lead to just more and more consumers entering into the space and equating digital ownership with how they interact socially, how they participate in communities and how they participate in fandom,” she said.
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Drew Grant
I had already spent an embarrassing amount of money downloading nearly 1,000 high-definition images of myself generated by AI through an app called Lensa as part of its new “Magical Avatar” feature. There are many reasons to cock an eyebrow at the results, some of which have been covered extensively in the last few days in a mounting moral panic as Lensa has shot itself to the #1 slot in the app store.
The way it works is users upload 10-20 photos of themselves from their camera roll. There are a few suggestions for best results: the pictures should show different angles, different outfits, different expressions. They shouldn’t all be from the same day. (“No photoshoots.”) Only one person in the frame, so the system doesn’t confuse you for someone else.
Lensa runs on Stable Diffusion, a deep-learning mathematical method that can generate images based on text or picture prompts, in this case taking your selfies and ‘smoothing’ them into composites that use elements from every photo. That composite can then be used to make the second generation of images, so you get hundreds of variations with no identical pictures that hit somewhere between the Uncanny Valley and one of those magic mirrors Snow White’s stepmother had. The tech has been around since 2019 and can be found on other AI image generators, of which Dall-E is the most famous example. Using its latent diffusion model and a 400 million image dataset called CLIP, Lensa can spit back 200 photos across 10 different art styles.
Though the tech has been around a few years, the rise in its use over the last several days may have you feeling caught off guard for a singularity that suddenly appears to have been bumped up to sometime before Christmas. ChatGPT made headlines this week for its ability to maybe write your term papers, but that’s the least it can do. It can program code, break down complex concepts and equations to explain to a second grader, generate fake news and prevent its dissemination.
It seems insane that when confronted with the Asminovian reality we’ve been waiting for with either excitement, dread or a mixture of both, the first thing we do is use it for selfies and homework. Yet here I was, filling up almost an entire phone’s worth of pictures of me as fairy princesses, anime characters, metallic cyborgs, Lara Croftian figures, and cosmic goddesses.
And in the span of Friday night to Sunday morning, I watched new sets reveal more and more of me. Suddenly the addition of a nipple went from a Cronenbergian anomaly to the standard, with almost every photo showing me with revealing cleavage or completely topless, even though I’d never submitted a topless photo. This was as true for the male-identified photos as the ones where I listed myself as a woman (Lensa also offers an “other” option, which I haven’t tried.)
Drew Grant
When I changed my selected gender from female to male: boom, suddenly, I got to go to space and look like Elon Musk’s Twitter profile, where he’s sort of dressed like Tony Stark. But no matter which photos I entered or how I self-identified, one thing was becoming more evident as the weekend went on: Lensa imagined me without my clothes on. And it was getting better at it.
Was it disconcerting? A little. The arm-boob fusion was more hilarious than anything else, but as someone with a larger chest, it would be weirder if the AI had missed that detail completely. But some of the images had cropped my head off entirely to focus just on my chest, which…why?
Drew Grant
Drew as a "male" preference
According to AI expert Sabri Sansoy, the problem isn’t with Lensa’s tech but most likely with human fallibility.
“I guarantee you a lot of that stuff is mislabeled,” said Sansoy, a robotics and machine learning consultant based out of Albuquerque, New Mexico. Sansoy has worked in AI since 2015 and claims that human error can lead to some wonky results. “Pretty much 80% of any data science project or AI project is all about labeling the data. When you’re talking in the billions (of photos), people get tired, they get bored, they mislabel things and then the machine doesn’t work correctly.”
Sansoy gave the example of a liquor client who wanted software that could automatically identify their brand in a photo; to train the program to do the task, the consultant had first to hire human production assistants to comb through images of bars and draw boxes around all the bottles of whiskey. But eventually, the mind-numbing work led to mistakes as the assistants got tired or distracted, resulting in the AI learning from bad data and mislabeled images. When the program confuses a cat for a bottle of whiskey, it’s not because it was broken. It’s because someone accidentally circled a cat.
So maybe someone forgot to circle the nudes when programming Stable Diffusion’s neural net used by Lensa. That’s a very generous interpretation that would explain a baseline amount of cleavage shots. But it doesn’t explain what I and many others were witnessing, which was an evolution from cute profile pics to Brassier thumbnails.
When I reached out for comment via email, a Lensa spokesperson responded not by directing us to a PR statement but actually took the time to address each point I’d raised. “It would not be entirely accurate to state that this matter is exclusive to female users,” said the Lensa spokesperson, “or that it is on the rise. Sporadic sexualization is observed across all gender categories, although in different ways. Please see attached examples.” Unfortunately, they were not for external use, but I can tell you they were of shirtless men who all had rippling six packs, hubba hubba.
“The stable Diffusion Model was trained on unfiltered Internet content, so it reflects the biases humans incorporate into the images they produce,” continued the response. Creators acknowledge the possibility of societal biases. So do we.” It reiterated the company was working on updating its NSFW filters.
As for my insight about any gender-specific styles, the spokesperson added: “The end results across all gender categories are generated in line with the same artistic principles. The following styles can be applied to all groups, regardless of their identity: Anime and Stylish.”
I found myself wondering if Lensa was also relying on AI to handle their PR, before surprising myself by not caring all that much. If I couldn’t tell, did it even matter? This is either a testament to how quickly our brains adapt and become numb to even the most incredible of circumstances; or the sorry state of hack-flack relationships, where the gold standard of communication is a streamlined transfer of information without things getting too personal.
As for the case of the strange AI-generated girlfriend? “Occasionally, users may encounter blurry silhouettes of figures in their generated images. These are just distorted versions of themselves that were ‘misread’ by the AI and included in the imagery in an awkward way.”
So: gender is a social construct that exists on the Internet; if you don’t like what you see, you can blame society. It’s Frankenstein’s monster, and we’ve created it after our own image.
Or, as the language processing AI model ChatGPT might put it: “Why do AI-generated images always seem so grotesque and unsettling? It's because we humans are monsters and our data reflects that. It's no wonder the AI produces such ghastly images - it's just a reflection of our own monstrous selves.”
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Vinfast
According to an email sent to reservation holders on November 29th, the VF8s in the initial shipment will be a special “City Edition” and have lower range advertised than the previously announced versions–just 180 miles in total. Over the weekend, Vinfast confirmed to dot.LA via Twitter that all of the vehicles in the first batch are the City Edition, and that the standard edition would be coming Q1 of 2023. Until this email, there had been little, if any mention of this new City Edition. The message to reservation holders offered no rationale as to why the company was choosing to ship this version of the car instead of the 260-292 mile-range VF8 it’s been advertising for months. Despite the lower range, however, the EVs will still carry a price tag of either $55,500 or $62,500, depending on trim–just $3,000 less than the previously-announced versions.
The VF8 Specs page from Vinfast’s site still bears no mention of a “City Edition,” but that’s what’s coming to America this month.
Vinfast is offering reservation holders an additional $3,000 off these City Edition variants (bringing the total to $6,000 less than the previously announced versions). But even at a discount, the vehicle’s $52,000 price tag is far from competitive with more established EV makers and raises questions about the brand’s strategy and value.
For comparison:
- The 2023 Hyundai Ioniq 5 has 220 miles of range and starts at $42,745. Or 303 miles of range for $60,000.
- The base model Kia EV6 costs $49,795 and goes 206 miles on a full charge.
- The Mustang Mach E starts at 46,895 and reaches 224 miles.
And the list goes on. In fact, you’d be hard pressed to find a 2023 EV with a worse cost to range ratio than the VF8. Vinfast, which has been nearly impossible to reach on this matter despite numerous calls and emails, hasn’t explained why they chose to offer such a range-compromised version as their initial foray into the U.S. market, or why the cost remains so high.
The reaction to the news, especially on Reddit, has been largely negative, with users accusing the company of “springing” the City Edition on reservation holders. Others speculated that the company rushed out the first batch so it could drum up good press before its recently announced IPO. Whatever the reason, most redditors didn’t seem to be buying it, and with Vinfast so reluctant to comment, it’s hard to see the announcement in a light that bodes well for the company’s future. First impressions tend to last, and this doesn’t seem like a good one for the EV hopeful.