Group items tagged

Special effects software can give your music all sorts of subtle vibes. For $299, for instance, you can make your song sound as though it was recorded in Sound City Studios in Los Angeles, on the $20,000 vintage microphones with the $100,000 mixing console that recorded Fleetwood Mac and Nirvana. For $259 you can simulate the Beatles’ Abbey Road Studios

In the past, when you assembled all the tracks for a song, it would have to be mixed and mastered in a studio by a sound engineer adjusting the levels. Now an app will do it for you.

Now, all you need to do is get the files uploaded to streaming services. If you are signed with a label, they will do that for you, but you don’t need a record deal to do that. There are companies such as DistroKid that act as postmen: for £17.99 a year, you can ensure that the song you created in your bedroom is available on multiple streaming platforms.

Some artists thrive on social media. It suits lively, quirky performers like Ryder, and artists who want to experiment with different genres. Mxmtoon, a 23-year-old American YouTuber, singer-songwriter and ukulele player, is also a streamer on Twitch, a platform on which people watch others playing online games, has published graphic novels and made a podcast. Maia — the artist’s name — describes mxmtoon as “a multi-hyphenated project”.

More traditional musicians struggle with some aspects of tech. “We get together,” says Sital-Singh of his contemporaries in the business, “and have a little moan about how everyone’s telling us to do TikTok and we can’t bring ourselves to dance and we feel old and decrepit.”

Even digital natives struggle sometimes: “I already have nostalgia for a simpler past, even though I’m 23,” says Maia. “It’s exciting but it does put so much pressure on a normal individual to be an entrepreneur to advertise their own personal brand.”

Journalists, regrettably, no longer have the power they once did. What matters these days is social media. The A&R (artists and repertoire) people at record companies who would once have hung out in basement clubs scouting for new talent now sit in meetings examining the data on artists’ social media performance.

Now that the whole world’s music is available all over the world at the click of a play button, there’s a greater diversity among top-selling artists.

People making videos of themselves performing or dancing to the song on TikTok helped propel it to the stratosphere. It has been streamed a billion times. Sethi now plays to packed venues in America and Europe; last year, he performed at Coachella, America’s Glastonbury. “Without digital technology I would be a south Asian indy musician, working on the fringes of Bollywood,” he says from his home in New York.

For musicians, it’s more ambiguous. Because the costs of making music are lower, anybody with ambition can have a go. Many more people, as a result, are getting into the music business. According to PPL, the organisation which distributes money to music performers and rights-holders, the number of registered artists has risen from 61,310, when the industry was at its nadir, to 165,039 last year.

That makes the business fiercely competitive. As Will Page, former chief economist at Spotify and author of Tarzan Economics, points out, around 100,000 tracks are being uploaded on to Spotify every day: that’s more than were released in an entire calendar year in the 1980s

That has cemented the power of the record companies. When the digital revolution started, it was widely expected that record labels would cease to exist, and be replaced by a model in which everybody promoted and distributed their own music. That’s not what has happened: because it’s so difficult to get noticed, embryonic stars need record labels to promote them.

A label invests in the production of the music, the styling of the band, video content, interviews, touring and the crucial business of getting a song on a streaming service’s playlist that suggests the song to listeners to suit their tastes. Artists that are signed with major labels get paid more, per stream, than those that aren’t.

Three quarters of streamed tracks have one of the major record labels behind them. And even though streaming is booming, it doesn’t contribute much to the incomes of the vast majority of artists.

Most artists stay hungry. A single stream will earn a musician anywhere between 0.1p and 2.4p. Crispin Hunt reckons that on average a million streams for a song — a wild ambition for most musicians — will, if you have to pay a cut to a record company, probably make you £1,000

If you’ve then got to pay your manager 20 per cent, and divide the rest between the four band members, “it barely pays for a Sainsbury’s shop. That’s why music is dominated by middle-class people called Crispin whose parents can afford to buy them an electric guitar and a laptop.”

For Christie Gardner, half of Lilo, a two-woman band, it helps planning gigs. “You can see where your listeners are and you can tell what they’re listening to. We make decisions about shows on that basis.” But for most bands, the economics of live performance are pretty grim.

Deathcrash’s manager Joe Taylor says that the band has been offered the opportunity of a European tour supporting a much bigger act. It would be good for their career but not their bank balance. The fees per show would be €200; once the costs of a sound engineer, a tour van, a driver, fuel, hotels and a carnet for importing musical instruments into the EU had been factored in, they would lose £15,000.

music has always been an uneconomic business, which people subsidise through other activities. The fiddler in the village pub probably worked in the fields in the daytime and played for money and fun in the evenings and at the weekend, rather as Ryder ran a juice bar and sang at weddings. These days, there is also the wafer-thin chance that they might end up being one of the 1,200 artists who make more than $1 million a year on Spotify

There are some signs that in the new musical economy, the balance of power between artists and the big record companies may have tipped slightly in the artists’ favour

the share of streaming revenues going to artists increased from 19.7 per cent to 23.3 per cent between 2012 and 2021 and that going to songwriters has risen from 8 per cent in 2008 to 15 per cent in 2021. “Outcomes for consumers, artists and songwriters,” it concludes, “are getting better.”

Most of the extra revenues generated by streaming are going to the top earners. But the stars are not the only ones benefiting. Between 2017 and 2022, the number of artists earning over $1 million on Spotify more than doubled, but so did the number earning over $10,000

more than two fifths of artists who release their own music aren’t expecting to make a full-time career. They’re in it for fun, for the love of it, or to be able to show their mum that they have released a song on Spotify.

It seems likely that the more music is being created, the greater the chance that wonderful tunes are being written, but it’s not necessarily the case. The best stuff might get buried under a mound of mediocrity.

he trickiest question may be how to prevent abuse. AI generators have technological boundaries, but not morals, and it’s relatively easy for users to trick them into creating content that depicts violence, rape, sex with children or a celebrity — or even a crush from work who never consented to appear

In some cases, the engines themselves are trained on porn images whose subjects didn’t explicitly agree to the new use. Currently, no federal laws protect the victims of nonconsensual deepfakes.

Adult entertainment is a giant industry accounting for a substantial chunk of all internet traffic: Major porn sites get more monthly visitors and page views than Amazon, Netflix, TikTok or Zoom

The industry is a habitual early adopter of new technology, from VHS to DVD to dot com. In the mid-2000s, porn companies set up massive sites where users upload and watch free videos, and ad sales foot the bills.

At last year’s AVN conference, Steven Jones said his peers looked at him “like he was crazy” when he talked about AI opportunities: “Nobody was interested.” This year, Jones said, he’s been “the belle of the ball.”

He called up his old business partner, and the two immediately spent about $550,000 securing the web domains for porn dot ai, deepfake dot com and deepfakes dot com, Jones said. “Lightspeed” was back.

One major model, Stable Diffusion, shares its code publicly, and some technologists have figured out how to edit the code to allow for sexual images

What keeps Jones up at night is people trying to use his company’s tools to generate images of abuse, he said. The models have some technological guardrails that make it difficult for users to render children, celebrities or acts of violence. But people are constantly looking for workarounds.

So with help from an angel investor he will not name, Jones hired five employees and a handful of offshore contractors and started building an image engine trained on bundles of freely available pornographic images, as well as thousands of nude photos from Jones’s own collection

Users create what Jones calls a “dream girl,” prompting the AI with descriptions of the character’s appearance, pose and setting. The nudes don’t portray real people, he said. Rather, the goal is to re-create a fantasy from the user’s imagination.

The AI-generated images got better, their computerized sheen growing steadily less noticeable. Jones grew his user base to 500,000 people, many of whom pay to generate more images than the five per day allotted to free accounts, he said. The site’s “power users” generate AI porn for 10 hours a day, he said.

Jones described the site as an “artists’ community” where people can explore their sexualities and fantasies in a safe space. Unlike some corners of the traditional adult industry, no performers are being pressured, underpaid or placed in harm’s way

And critically, consumers don’t have to wait for their favorite OnlyFans performer to come online or trawl through Pornhub to find the content they like.

Next comes AI-generated video — “porn’s holy grail,” Jones said. Eventually, he sees the technology becoming interactive, with users giving instructions to lifelike automated “performers.” Within two years, he said, there will be “fully AI cam girls,” a reference to creators who make solo sex content.

It costs $12 per day to rent a server from Amazon Web Services, he said, and generating a single picture requires users to have access to a corresponding server. His users have so far generated more than 1.6 million images.

Copyright holders including newspapers, photographers and artists have filed a slew of lawsuits against AI companies, claiming the companies trained their models on copyrighted content. If plaintiffs win, it could cut off the free-for-all that benefits entrepreneurs such as Jones.

But Jones’s plan to create consumer-friendly AI porn engines faced significant obstacles. The companies behind major image-generation models used technical boundaries to block “not safe for work” content and, without racy images to learn from, the models weren’t good at re-creating nude bodies or scenes.

Jones said his team takes down images that other users flag as abusive. Their list of blocked prompts currently contains 1,000 terms including “high school.”

“I see certain things people type in, and I just hope to God they’re trying to test the model, like we are. I hope they don’t actually want to see the things they’re typing in.

Peter Acworth, the owner of kink dot com, is trying to teach an AI porn generator to understand even subtler concepts, such as the difference between torture and consensual sexual bondage. For decades Acworth has pushed for spaces — in the real world and online — for consenting adults to explore nonconventional sexual interests. In 2006, he bought the San Francisco Armory, a castle-like building in the city’s Mission neighborhood, and turned it into a studio where his company filmed fetish porn until shuttering in 2017.

Now, Acworth is working with engineers to train an image-generation model on pictures of BDSM, an acronym for bondage and discipline, dominance and submission, sadism and masochism.

Others alluded to a porn apocalypse, with AI wiping out existing models of adult entertainment.“Look around,” said Christian Burke, head of engineering at the adult-industry payment app Melon, gesturing at performers huddled, laughing and hugging across the show floor. “This could look entirely different in a few years.”

But the age of AI brings few guarantees for the people, largely women, who appear in porn. Many have signed broad contracts granting companies the rights to reproduce their likeness in any medium for the rest of time

Not only could performers lose income, Walters said, they could find themselves in offensive or abusive scenes they never consented to.

Lana Smalls, a 23-year-old performer whose videos have been viewed 20 million times on Pornhub, said she’s had colleagues show up to shoots with major studios only to be surprised by sweeping AI clauses in their contracts.

“This industry is too fragmented for collective bargaining,” Spiegler said. “Plus, this industry doesn’t like rules.”