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Suno is a music copyright nightmare

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Suno is a music copyright nightmare

AI music platform Suno’s policy is that it does not permit the use of copyrighted material. You can upload your own tracks to remix or set your original lyrics to AI-generated music. But, it’s supposed to recognize and stop you from using other people’s songs and lyrics. Now, no system is perfect, but it turns out that Suno’s copyright filters are incredibly easy to fool.

With minimal effort and some free software, Suno will spit out AI-generated imitations of popular songs like Beyoncé‘s “Freedom,” Black Sabbath’s “Paranoid,” and Aqua’s “Barbie Girl” that are alarmingly close to the original. Most people will likely be able to tell the difference, but some could be mistaken for alternate takes or B-sides at a casual listen. What’s more, it’s possible someone could monetize these uncanny valley covers by exporting them and uploading them to streaming services. Suno declined to comment for this story.

Making these covers requires using Suno Studio, available on the company’s $24-a-month Premier Plan. Rather than prompting a whole song with text, Suno Studio lets you upload a track to edit or cover. It’s likely to catch and reject a well-known hit with no tweaks. But using a basic free tool like Audacity to slow down a track to half-speed or speed it up to twice normal will often bypass the filter, and adding a burst of white noise to the start and end seems to basically guarantee success. You can restore the original speed and cut the white noise in Suno Studio, and the copyrighted song becomes the seed for new AI music.

If you generate a cover of the imported audio without any style transfers, Suno basically spits out the original instrumental arrangement with very minimal tweaks to the sound palette if you’re using model 4.5 or 4.5+. Model v5 is a bit more aggressive in taking liberties with the source material, adding chugging guitar and galloping piano to “Freedom” and turning the Dead Kennedys’ “California Über Alles” into a fiddle-driven jig.

Suno lets you add vocals by generating lyrics or typing words into a box, and once again, it’s supposed to block anything copyrighted. If you copy and paste the official lyrics for a song from Genius, Suno will flag them and spit out gibberish vocals. But extremely minor changes can bypass this filter as well.

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I was able to trick Suno Studio by tweaking the spelling of a handful of words in “Freedom” — changing “rain on this bitter love” to “reign on” and “tell the sweet I’m new” to “tell the suite” — and beyond the first verse and chorus, I didn’t even need to do that. The voice closely mimics the original recording, summoning slightly off-brand renditions of Ozzy or Beyoncé.

Indie artists might not even be afforded that level of protection. One of my own songs cleared the copyright filter while I was testing v5 of the company’s model. I was also able to get tracks by singer-songwriter Matt Wilson, Charles Bissell’s “Car Colors,” and experimental artist Claire Rousay by Suno’s copyright detection system without any changes at all. Artists on smaller labels or self-distributing through Bandcamp or services like DistroKid are most likely to slip through the cracks; DistroKid and CD Baby declined to comment.

The results of these AI covers fall firmly in the uncanny valley. The songs they’re covering are unmistakable: the riff from “Paranoid” remains identifiable and “Freedom” is obviously “Freedom” from the moment the marching snare hits kick in. But there is a lifelessness to them. Even if AI Ozzy is alarmingly accurate-sounding, it lacks nuance and dynamics, leading it to feel like an imitation of a human, rather than the real thing.

The instrumentals similarly discard any interesting artistic choices the originals make, or clone them in flat imitations. A non-jig “California Über Alles” cover has most of its rough edges sanded down so it sounds like a wedding band version of the original. Pink Floyd’s “Another Brick in the Wall” goes from an experiment in doom disco to just vacuous dancefloor filler. And, while it kind of nails David Gilmour’s guitar tone, it does away with any sense of phrasing or progression, turning the solo into just a mindless stream of notes.

Creating unauthorized covers violates both the stated purpose of Suno, and the terms of service. Moreover, Suno only appears to scan tracks on upload; it doesn’t seem to recheck outputs for potential infringement, or rescan tracks before exporting them. The path to monetizing Suno-created covers is simple from there. AI slopmongers could upload them through a distribution service like DistroKid and profit from other people’s songs without paying the typical royalties a cover would give the original composer. And independent artists seem to be the most vulnerable.

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Folk artist Murphy Campbell discovered this recently when someone uploaded what seem to be AI covers of songs she posted on YouTube to her Spotify profile. (It’s not clear what system they were generated through.) Shortly afterwards, distributor Vydia filed copyright claims against her YouTube videos and began collecting royalties on them. And to highlight just how broken the whole system is, the songs which Vydia successfully filed copyright claims for are all in the public domain. Spotify eventually removed the AI covers, and Vydia has rescinded its copyright claims, but that only happened following a social media campaign by Campbell. Vydia says the two incidents are separate and it is not associated with the AI covers of Campbell’s work.

AI fakes are a problem for other artists too. Experimental composer William Basinski and indie rock group King Gizzard and The Lizard Wizard have had imitations slip through multiple filters and reach streaming platforms like Spotify. Sometimes, these fake songs can siphon up views straight from the artist’s own page. In a system where payouts can already be brutally low — Spotify requires a minimum of 1,000 streams to get paid — less famous musicians are hit hardest.

Suno is only one cog in a clearly broken system.

Services like Deezer, Qobuz, and Spotify have taken measures to combat spammy AI and impersonators. Spotify spokesperson Chris Macowski told The Verge that the company “takes protecting artists’ rights seriously, and approaches it from multiple angles. That includes safeguards to help prevent unauthorized content from being uploaded in the first place, along with systems that can identify duplicate or highly similar tracks. Those systems are backed by human review to make sure we’re getting it right.” But no system is perfect, and keeping up with a flood of AI slop enabled by platforms like Suno poses a challenge.

Macowski acknowledged the technical difficulties involved, saying, “It’s an area we’re continuing to invest in and evolve, especially as new technologies emerge.”

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Suno is only one cog in a clearly broken system. But it’s one artists have particularly little recourse to fight. Bands can contact Spotify and have AI fakes removed from their profile. It’s harder to tell how those fakes are generated, and if they’re the result of Suno’s filters failing. And so far, Suno’s response is silence.

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Gemini is making it faster for distressed users to reach mental health resources 

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Gemini is making it faster for distressed users to reach mental health resources 

Google says it has updated Gemini to better direct users to get mental health resources during moments of crisis. The change comes as the tech giant faces a wrongful death lawsuit alleging its chatbot “coached” a man to die by suicide, the latest in a string of lawsuits alleging tangible harm from AI products.

When a conversation indicates a user is in a potential crisis related to suicide or self-harm, Gemini already launches a “Help is available” module that directs users to mental health crisis resources, like a suicide hotline or crisis text line. Google says the update — really more of a redesign — will streamline this into a “one-touch” interface that will make it easier for users to get help quickly.

The help module also contains more empathetic responses designed “to encourage people to seek help,” Google says. Once activated, “the option to reach out for professional help will remain clearly available” for the remainder of the conversation.

Google says it engaged with clinical experts for the redesign and is committed to supporting users in crisis. It also announced $30 million in funding globally over the next three years “to help global hotlines.”

Like other leading chatbot providers, Google stressed that Gemini “is not a substitute for professional clinical care, therapy, or crisis support,” but acknowledged many people are using it for health information, including during moments of crisis.

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The update comes amid broader scrutiny over how adequate the industry’s safeguards actually are. Reports and investigations, including our probe into the provision of crisis resources, frequently flag cases where chatbots fail vulnerable users, by helping them hide eating disorders or plan shootings. Google often fares better than many rivals in these tests, but is not perfect. Other AI companies, including OpenAI and Anthropic, have also taken steps to improve their detection and support of vulnerable users.

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AI needs more power: Offices could be the answer

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AI needs more power: Offices could be the answer

NEWYou can now listen to Fox News articles!

If your office cranks up the AC on a hot afternoon, you are part of a much bigger story. Energy demand is climbing fast. Data centers and AI systems are using more electricity than ever. At the same time, extreme weather is putting added stress on the grid. That pressure has utilities looking for relief in an unexpected place. Not a new plant. Not a massive battery installation. Instead, they are turning to buildings that already exist. A Seattle startup called Edo is betting your office can help keep the lights on.

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A BASIC MONTHLY BILL AMERICANS CAN’T DODGE IS BECOMING A MIDTERM FLASH POINT
 

Seattle startup Edo is helping utilities tap office buildings as virtual power plants, shifting energy use when demand spikes and the grid faces added stress. (alacatr/Getty Images)

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What is a virtual power plant?

A virtual power plant, often called a VPP, connects many buildings and devices so they can act like one coordinated energy resource. Instead of generating new electricity, these systems adjust when and how energy gets used.

Here is the idea in plain terms. When demand spikes, a building can temporarily reduce non-essential power use. That might mean cooling a space earlier in the day or delaying equipment that does not need to run right away. Across thousands of buildings, those small shifts add up quickly.

How Edo turns buildings into grid assets

Edo focuses on commercial buildings, which make up a large share of U.S. electricity use. The company installs technology that connects to existing building systems like HVAC, batteries, solar and EV charging. It links these systems through standard communication protocols and manages them from a central platform. That allows everything to work together instead of operating in silos. Edo then maps out where energy is being used and when. From there, building operators get a clearer picture of what can be adjusted without disrupting daily operations.

For example:

  • Pre-cooling or pre-heating before peak pricing kicks in
  • Charging electric vehicles when electricity is cheaper
  • Shifting flexible tasks to off-peak hours
  • Sending stored solar energy back to the grid

These changes happen with coordination, not guesswork. Utilities can then tap into that flexibility when demand spikes.

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As AI and data centers drive electricity demand higher, utilities are looking to commercial buildings for fast, flexible grid support instead of waiting on new infrastructure. (David Paul Morris/Bloomberg via Getty Images)

Why utilities are paying attention now

This approach solves a real problem. When demand surges, utilities usually face tough choices. They can build new power plants, install large-scale batteries or reduce power through blackouts. All of those options come with high costs or major disruptions. Virtual power plants offer another path. They reduce strain on the grid without building new infrastructure. According to the U.S. Department of Energy, VPPs could provide up to 160 gigawatts of flexible capacity by 2030 if adoption ramps up.

The shift from niche idea to mainstream solution

Virtual power plants have been around for years, mostly in residential settings. Companies like Tesla, Sunrun and EnergyHub already connect home batteries and smart devices.

At the same time, firms like Voltus and CPower Energy focus on large industrial users. Commercial buildings, however, have been largely overlooked. That is where Edo sees opportunity.

Why this matters as AI demand grows

AI is not just a software story. It is an energy story. Massive data centers require huge amounts of electricity. As more companies adopt AI tools, demand will continue to rise.

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That makes flexible energy strategies more important than ever. Instead of racing to build new plants, utilities are rethinking how existing power gets used. Virtual power plants are becoming part of that solution.

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OIL CEO URGES NEWSOM TO DO THE ‘MATH’ AS CALIFORNIA GOVERNOR VOWS TO STOP OFFSHORE DRILLING
 

Edo connects HVAC, batteries, solar and EV charging systems, so office buildings can respond in real time when utilities need relief on the grid. (AJ Watt/Getty Images)

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Kurt’s key takeaways

Office buildings are already being used to support the grid. Companies like Edo are working with thousands of properties to adjust energy use in real time when demand spikes. What makes this shift important is how quickly it can scale. Instead of waiting years for new infrastructure, utilities can tap into systems that already exist. As AI demand grows and energy pressure builds, that flexibility could become one of the most practical tools available.

As AI drives up electricity demand, who should take the lead in keeping the grid stable: utilities or the companies using the most power? Let us know by writing to us at Cyberguy.com.

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Wisconsin governor says ‘no’ to age checks for porn

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Wisconsin governor says ‘no’ to age checks for porn

Wisconsin Governor Tony Evers vetoed a bill that would’ve required residents to verify their age before accessing porn sites, as reported earlier by 404 Media. In a letter to the members of the assembly last week, Evers writes that the bill “imposes an intrusive burden on adults who are trying to access constitutionally protected materials.”

The bill (AB 105) would’ve required sites with more than one-third of their total content deemed harmful to minors to impose a “reasonable” form of age verification, such as asking users to show their government-issued ID. More than two dozen states have already passed similar age check requirements for access to adult content, including Arizona, Florida, Georgia, Missouri, Texas, and Virginia. As a result, Pornhub has blocked its site in these locations.

Last month, the Wisconsin American Civil Liberties Union testified that AB-105 “raises significant concerns around privacy, surveillance, and the First Amendment,” and it seems like Governor Evers agreed. “I am vetoing this bill in its entirety because I object to this bill’s intrusion into the personal privacy of Wisconsin residents,” Evers writes, adding that he’s “concerned about data security and the potential for misuse of personally identifiable information” obtained as a result of the age verification process.

An early version of Wisconsin’s age verification bill also included a ban on virtual private networks (VPN), which people have been using to circumvent online age checks. Lawmakers dropped this provision in February, though VPNs are becoming a target for regulators around the globe.

Despite vetoing this bill, Evers is leaving the door open for other kinds of age verification solutions, such as “device-based” methods that would verify the age of users on their phone or computer.

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