Man with AI song catalog ‘defrauds’ streaming services of $10 million

https://www.popsci.com/technology/music-streaming-ai-scam/

Musicians have long criticized streaming services for their abysmal revenue sharing programs. In 2021, for example, as much as 97 percent of Spotify’s over 6 million listed artists earned less than $1,000. Last year, the company announced a new system offering fractions of a cent per track, all of which is now based on even more stringent rules. But there was apparently a way to earn some real dividends from those songs—provided you have access to thousands of bots, hundreds of thousands of AI-generated songs, and are willing to risk receiving a federal grand jury indictment for wire fraud and money laundering.

That’s what a man named Michael Smith in North Carolina is currently facing, according to a DOJ announcement on September 4. Unsealed filings from US prosecutors accuse Smith of scamming digital streaming platforms including Spotify, Apple Music, Amazon Music, and YouTube Music of over $10 million in royalty payouts between 2017 and 2024. To accomplish this, however, Smith purchased “hundreds of thousands of songs that were created by artificial intelligence” from an unnamed co-conspirator, uploaded them to the music services, then eventually tasked over 10,000 bot accounts to simultaneously boost streaming numbers for each track around the clock. Both streaming platforms and music distributions companies explicitly prohibit streaming fraud through artificially boosting play and follow counts, content promotion, or the use of automated bots and programs.

While the exact amounts vary across platforms and plans, the DOJ notes that it often amounts to “less than one cent per stream.” Because of this, it allegedly took Smith’s bot army to play the trove of AI songs “billions of times” over nearly 8 years to amass the payout.

[Related: Spotify considered axing white noise podcasts to save $38 million.]

Although the bots’ streaming protocols were largely automated, it reportedly is a “labor-intensive” project to get up and running. The DOJ charges that Smith enlisted help both domestically and abroad to manually sign up bots for streaming services, usually grouped under family plans due to discounted subscription fees and using vast numbers of debit cards through a service typically reserved for issuing corporate cards. Once the revenue started to roll in, Smith allegedly then used an estimated $1.3 million to continue funding the debit cards, thus creating a cyclical system.

As far back as 2017, Smith allegedly even emailed himself a financial breakdown illustrating how the whole scheme worked on any given day. For example, 1,040 bots spread over 52 VPN-shielded cloud service accounts streaming around 636 songs per day added up to an estimated 661,440 streams every 24 hours. Estimating that an average royalty was half-a-cent per stream, Smith purportedly tallied the whole enterprise out to $3,307.20 per day, $99,216 per month, and ultimately $1,207,128 per year.

Here’s where it got even craftier—any random song racking up a billion streams would likely flag a streaming platform’s monitoring systems. But if you spread those streams out across tens of thousands of songs, each garnering only a couple of plays, then you could likely fly under the radar. Hence the alleged need for a mountain of AI-generated tracks with titles like “Zygophyceae,” “Zygophyllaceae,” “Zygophyllum,” and “Zygopteraceae” from non-existent artists such as Calliope Bloom, Calliope Erratum, and Camel Edible. And although 2017-era songs generated by AI apparently weren’t the best quality, the landscape looked very different in just a few years’ time.

“Song quality is 10x-20x better now, and we also have vocal generation capabilities,” a third party allegedly wrote to Smith in 2020. “… Have a listen to the attached [song] for an idea of what I’m talking about.”

“Keep in mind what we’re doing musically here… this is not ‘music,’ it’s ‘instant music’” another participant reportedly messaged Smith during a separate conversation, along with a winking emoticon.

The conspiracy wasn’t entirely foolproof, however. Streaming platforms apparently contacted Smith as early as 2018 regarding songs that their systems thought were either artificial and/or receiving playcount boosts. “This is absolutely wrong and crazy!… There is absolutely no fraud going on whatsoever!” Smith allegedly responded at one point via email, adding “How can I appeal this?”

Despite these occasional issues, prosecutors say the plan continued until at least February 2024. By then, Smith reportedly told a partner they managed to generate over 4 billion streams raking in $12 million since 2019 alone.

“The defendant’s alleged scheme played upon the integrity of the music industry by a concerted attempt to circumvent the streaming platforms’ policies,” FBI Acting Assistant Director Christie M. Curtis said in Wednesday’s statement.

If convicted, Smith faces a maximum of 20 years in prison per charge of wire fraud conspiracy, wire fraud, and money laundering conspiracy. As for the millions of dollars in payouts, prosecutors maintain “those funds ultimately should have been paid to the Songwriters and Artists whose works were streamed legitimately by real consumers.”

The post Man with AI song catalog ‘defrauds’ streaming services of $10 million appeared first on Popular Science.

via Popular Science – New Technology, Science News, The Future Now https://www.popsci.com

September 5, 2024 at 02:06PM

New Discord feature feels a lot like spying. Here’s how to disable it

https://www.pcworld.com/article/2447821/new-discord-feature-feels-a-lot-like-spying-heres-how-to-disable-it.html

Discord started off as just a chatroom with voice chat features, but it has since grown into the de facto communication and community building tool for gamers, games, and organizations. The company has made plenty of missteps since Discord first debuted almost a decade ago, with some more egregious than others.

Here’s one recent change that some gamers may find unpleasant: your list of Discord contacts will no longer just show what games your friends are playing but also how long they’ve been playing each game and how often they’ve played in the last 30 days.

Related: The beginner’s guide to using Discord

The new overview might show, for example, that one of your contacts has been playing Call of Duty for 13 days in a row while another contact has been playing World of Warcraft for over 100 hours, which is then advertised with a marathon badge.

You can also react directly to individual in-game time displays or activities using emojis on the tiles displayed for your Discord friends.

More noteworthy is that you can poke and prod and review any contact’s activities over the last 30 days, even when they’re offline.

And that’s precisely the problem. Not everyone wants their Discord contacts to be able to see, for example, that they played Counter-Strike three days ago. It might sound benign and not something worth hiding, but that’s beside the point.

Suppose you cancelled a meetup with friends because you just want to play solo for a while. This would make it extremely easy for someone to see that you’re playing alone, thus opening the floodgates for confrontations, interrogations, or hurt feelings.

Or maybe you don’t want your friends to know that you have beta access to an unreleased game. Or maybe you’re playing a lewd game that you don’t want others to know you’re playing. All reasons are valid here.

How to disable the new feature

Fortunately, the developers of Discord haven’t made this feature mandatory, allowing you to deactivate the feature if you don’t want your activities to be tracked and recorded.

Go to Settings and navigate to the Privacy and security section. Here, you can deactivate the feature under Activity status.

Further reading: Is a Discord Nitro subscription worth it?

via PCWorld https://www.pcworld.com

September 4, 2024 at 11:41AM

What to Know About the Quantum Network Buried Under New York City

https://gizmodo.com/what-to-know-about-the-quantum-network-buried-under-new-york-city-2000490947

For 15 days last December, a complex quantum operation took place deep under New York City. Photons of light streamed around an area stretching from the Brooklyn Navy Yard to Corona, Queens, forming a 21-mile-long (34-kilometer-long) quantum network beneath the metropolis.

Quantum hardware company Qunnect ran the experiment on its GothamQ testbed. The quantum network operated on existing optical fibers that make up some of New York’s telecommunications infrastructure. The key difference between traditional subterranean telecoms and the recent experiment is that, instead of ordinary photons traveling through the cables, the Qunnect team transmitted entangled, polarized photons—that is, photons in a quantum state. The team’s research is currently hosted on the preprint server arXiv.

“It’s always hard to explain what a next-generation infrastructure is going to do for you. Often the people inventing the infrastructure don’t know,” said Mehdi Namazi, a quantum physicist and the Chief Science Officer at Qunnect, in a video call with Gizmodo. “It’s very hard to say what will be the use case, because that’s like defining what would’ve been the application of the internet.”

Namazi said that much of the team’s work was “by far the state-of-the-art in quantum networking.” To run its quantum network, the team generated pairs of photons—particles of light—using a vapor cell of rubidium-87. The photon pairs were entangled, meaning that the properties of one of the photons was defined by the other, and vice versa. Entanglement is a quantum property; therefore, the team used photons as a quantum bit (or qubit) for communication. Qubits are the bedrock of quantum computers. Often made up of atoms in an array, the qubits are kept very cold so that they can enter a quantum state, which endows them with properties that make them useful for complex computations.

The recent project sent half a million photon pairs per second through the cable infrastructure, meaning 648 billion photon pairs were shot through the system over the course of the 15-day experiment. Previous experiments using similar infrastructure only achieved rates of about 10,000 to 20,000 photon pairs per second.

Unlike quantum computers, which need to be kept at supercooled temperatures to remain in a quantum state, photons can carry quantum information at ambient temperatures. Thanks to this unique property of light particles, the team was able to use existing, large-scale infrastructure under New York for their work instead of a smaller experiment in a carefully managed laboratory setting.

The network remained operational for 99.84% of the experiment’s duration, which merely ended because there were other fish to fry. In other words, the network showed no signs of losing its entangled state if the experiment were to continue.

Part of the team’s innovation was pausing the operation for very short spans of time (we’re talking milliseconds) to send pulses of classical light through the system as a reference to gauge the system and check for perturbations that could disrupt the quantum operation of the photons. Those interruptions—a process called time multiplexing—only took the operation offline for 0.16% of the 15-day experiment, leading to the previously noted 99.84% uptime.

“Our work paves the way for practical deployment of 24/7 entanglement-based networks with rates and fidelity adequate for many current and future use-cases,” the team wrote in its paper.

“Everything we’ve been trying to develop is around this idea of ‘is it practical?’,” Namazi said. “Can it practically distribute entanglement in a way that is so robust, stable, and high-quality that you can always be sure it’s useful in applications, whether it’s for cybersecurity or a larger vision of what the quantum internet could look like?”

A map showing the GothamQ testbed and the experimental apparatus prior to photons entering (top left) and exiting (bottom right) the GothamQ fiber.
A map showing the GothamQ testbed and the experimental apparatus prior to photons entering (top left) and exiting (bottom right) the GothamQ fiber. Graphic: Craddock et al. 2024

The most immediate applications of the tech, he said, are in cybersecurity. “If you can use these to send your 0s and 1s, or use them as a way to create a key for your encryption, it’s much, much harder to hack them,” Namazi said. “If something happened to one of your photons, the other one immediately knows. And there’s nothing a hacker can do about that because there is no way to replicate this kind of connection.”

There’s still a long way to go towards practical applications, and even longer for still-abstract concepts like a quantum internet. Namazi said the photon transmission rate was “not 5G, nowhere close” but at least “10 times better than dial-up internet.”

Though many of the applications—indeed, some of the most far-reaching and significant implications of the work—are still beyond the horizon, the experiment is a great reminder of the science being done all around us. The next time you’re stuck on the subway, at least you’ll be able to ponder the remarkable physics happening, also underground, somewhere near you. Of course, the photons are getting to where they’re going way faster than you are.

via Gizmodo https://gizmodo.com/

September 5, 2024 at 10:45AM

Android Earthquake Alerts Now Available Across All 50 States, 6 US Territories

https://www.droid-life.com/2024/09/03/android-earthquake-alerts-now-available-across-all-50-states-6-us-territories/

Google has provided Android Earthquake Alerts to select state and country residents starting in 2020. It’s important work because even a few seconds of knowing an earthquake is about to shake your location can get you to an area that’s more safe. Today, Google announced a massive expansion of the service to all 50 US states and 6 US territories.

For users in California, Oregon and Washington, users will continue to have their alerts powered by the ShakeAlert system, utilizing traditional seismometers to detect earthquakes. For all out states and supported territories, “this expansion uses the built-in accelerometers in Android phones to bring another layer of preparedness and potentially life-saving information to people across every state,” the company explained in a blog post.

Using the accelerometer to sense vibrations and an apparent earthquake, the system quickly analyzes the crowdsourced data to determine if an earthquake is occurring. Google says it has been working with many experts to continue the system’s improvement.

Depending on the severity of the earthquake, you’ll get two types of notifications. A little pop up on your screen if it’s pretty weak with light shaking or a complete screen takeover for moderate to extreme shaking. These are called Take Action alerts, complete with the classic drop, cover, and hold instructions.

For us on the west coast who are still awaiting the Big One, hopefully these alerts are useful one day.

// Google

Read the original post: Android Earthquake Alerts Now Available Across All 50 States, 6 US Territories

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September 3, 2024 at 01:03PM