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TechCrunch Mobility: ‘A stunning lack of transparency’ | TechCrunch

TechCrunch Mobility: ‘A stunning lack of transparency’ | TechCrunch

Welcome back to TechCrunch Mobility — your central hub for news and insights on the future of transportation. To get this in your inbox, sign up here for free — just click TechCrunch Mobility!

You might recall the congressional hearing last month that sparked criticism against Waymo over its use of remote assistance workers in the Philippines. We have covered that issue extensively. You can read about the company’s remote assistance and road assistance teams here and here. 

Waymo tends to get the most attention because, well, those robotaxis are now operating commercially in 10 U.S. cities, with more coming soon. But the issue of remote assistance is not a Waymo issue. It’s an autonomous vehicle technology issue. 

A new report from Sen. Ed Markey (D-MA) makes my point. 

Markey sent letters to seven U.S. companies — Aurora, May Mobility, Motional, Nuro, Tesla, Waymo, and Zoox — working on autonomous vehicle technology with a list of questions. He wanted to know how often these companies’ vehicles relied on input from remote staff. 

They all refused to say, according to the results of Markey’s investigation. Markey said it was a “stunning lack of transparency from the AV companies around their use of remote assistance operators to help guide their AVs.”

You can read senior reporter Sean O’Kane’s article, which digs into the issue and includes the rather mute responses from the companies. (TechCrunch reached out to all of them.) One interesting admission from Tesla: The company said its remote assistance workers are authorized to temporarily assume direct vehicle control (a very different thing than “remote assistance”) as a final escalation maneuver.

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But here’s the thing — this is not going away. And silence will not defuse the matter. If anything, Markey seems more motivated than ever to get answers. He is now calling on the National Highway Traffic Safety Administration to investigate companies’ use of remote assistance workers and said he is “working on legislation to impose strict guardrails on AV companies’ use of remote operators.”

A little bird

Image Credits:Bryce Durbin

Nothing this week that we have been able to verify. Send us tips! Have one? Email Kirsten Korosec at kirsten.korosec@techcrunch.com or my Signal at kkorosec.07, or email Sean O’Kane at sean.okane@techcrunch.com.

Deals!

money the station
Image Credits:Bryce Durbin

It seems like just last week I was writing about Uber being everywhere, all at once. And I see it is still a trend, although this time it isn’t directly related to autonomous vehicles. 

Uber said it is buying Berlin-based startup Blacklane, which provides on-demand, black-car chauffeur services, as the ride-hail giant expands deeper into luxury and executive travel services. Blacklane, which was founded in 2011, had raised more than $100 million to date from rental car company Sixt, Mercedes-Benz, and Alfahim, a conglomerate in the UAE.

The timing of the acquisition is notable. It comes just a few weeks after Uber announced the launch of Uber Elite, a chauffeur service that also offers a bunch of luxury offerings like airport meet-and-greets and in-vehicle amenities. 

Other deals that got my attention …

Manna Air Delivery, a consumer drone delivery startup based in Ireland, raised $50 million from ARK Invest, the Ireland Strategic Investment Fund, Schooner Capital, Coca-Cola HBC, and Molten Ventures.

Saronic Technologies, an autonomous military ship developer based in Austin, raised $1.75 billion in a Series D funding round led by Kleiner Perkins. The company is now valued at $9.25 billion. Other investors include Advent International, Bessemer Venture Partners, DFJ Growth, BAM Elevate, and other new partners and recognizes the continued commitment of its existing investors, including 8VC, Caffeinated Capital, Andreessen Horowitz, Elad Gil, and Franklin Templeton.

Voltify, a startup that has developed a way to retrofit diesel locomotives with battery power, raised $30 million in seed funding co-led by Israeli venture firm Aleph and Australian miner Fortescue.

Notable reads and other tidbits

Image Credits:Bryce Durbin

Also, the micromobility company created inside Rivian that spun out last year, will work with DoorDash to develop autonomous delivery vehicles. As part of the deal, DoorDash took part in Also’s $200 million Series C funding round, which was led by Greenoaks Capital. DoorDash is getting a seat on Also’s board of directors, too.

Baidu robotaxis stalled throughout Wuhan, China, in some cases trapping passengers for up to two hours due to system failure. 

GM is ramping up its efforts to improve its advanced driver-assistance system, Super Cruise. CEO Mary Barra posted on LinkedIn that GM has started supervised testing of its next-gen automated driving system on public highways in California and Michigan.

“Soon, more than 200 supervised and manual test vehicles will be in live traffic, with trained drivers ready to take over at any time. This data will guide future updates to strengthen our autonomous capabilities,” she wrote.

Lucid issued a recall for more than 4,000 Gravity SUVs after discovering a problem with the seat belts.

The National Highway Traffic Safety Administration reported that traffic deaths fell 6.7% to 36,640 in 2025 from the prior year. This is the second-lowest traffic fatality rate in recorded history at 1,10 fatalities per 100 million vehicle miles traveled, according to the NHTSA.

All of those long TSA lines are prompting airlines to catch up and adapt. For instance, United Airlines has updated its mobile app to show TSA wait times at select airports.

The Subaru-Toyota partnership keeps cranking out EVs. At the New York Auto Show, Subaru introduced the all-electric Gateway, a three-row SUV that is essentially a rebadged Toyota Highlander EV. 

Tesla’s Q1 sales figures show its cheaper vehicles aren’t helping it turn around declining sales. (Some legacy automakers have seen EV sales plummet.) That seems to have affected Tesla’s workforce numbers at its Austin, Texas, factory, which dropped 22% in 2025. Meanwhile, I riff on the changing of the guard over at Tesla (and, no, I am not referring to the string of executive departures there, although that is interesting). CEO Elon Musk shared that production of the Tesla Model S and X has ended, a milestone that marks the shift away from building cars designed for people to drive and toward robots and self-driving cars.  

Toyota’s Woven Capital has appointed a new CIO and COO in a push to find the “future of mobility.”

Uber and Chinese autonomous vehicle company WeRide launched robotaxi operations without a human safety operator in Dubai as part of a broader expansion in the Middle East.

Waymo’s robotaxi service is now live at San Antonio International, its fourth major airport. Meanwhile, Wired looked at Waymo’s school bus problem (meaning the investigation into the illegal behavior of its robotaxis around school buses). The article provides new details on how the Austin School District tried to help Waymo solve the problem. It didn’t work.

One more thing …

My podcast, the Autonocast, spent some time talking with Ashu Rege, DoorDash’s VP of Autonomy. We recorded the episode prior to the Also-DoorDash announcement, which makes his comments about the company’s strategy all the more interesting. Check out the episode here.

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#TechCrunch #Mobility #stunning #lack #transparency #TechCrunch

The long-awaited sequel to the cult movie Spaceballs now has a release date: April 23, 2027.

Spaceballs was released on June 24, 1987, making the Spaceballs 2 premiere nearly 40 years later.

Original writer-director Mel Brooks officially announced Spaceballs 2 last year, with Bill Pullman, Rick Moranis, and Daphne Zuniga reprising their roles. Now, Amazon MGM Studios has announced the actual release date ahead of CinemaCon 2026, exclusively for Deadline.

From there, we really only know the details that were released last year, like that Josh Greenbaum (Will and Harper) is directing, and the script is written by Josh Gad, Benji Samit, and Dan Hernandez. Gad is also expected to star, along with Keke Palmer.

#Spaceballs #sequel #release #date">The ‘Spaceballs’ sequel has a release date
                                                            The long-awaited sequel to the cult movie Spaceballs now has a release date: April 23, 2027.Spaceballs was released on June 24, 1987, making the Spaceballs 2 premiere nearly 40 years later.
        
            Mashable Top Stories
        
        
    
Original writer-director Mel Brooks officially announced Spaceballs 2 last year, with Bill Pullman, Rick Moranis, and Daphne Zuniga reprising their roles. Now, Amazon MGM Studios has announced the actual release date ahead of CinemaCon 2026, exclusively for Deadline. 

From there, we really only know the details that were released last year, like that Josh Greenbaum (Will and Harper) is directing, and the script is written by Josh Gad, Benji Samit, and Dan Hernandez. Gad is also expected to star, along with Keke Palmer.

                    
                                            
                            
                        
                                    #Spaceballs #sequel #release #date

sequel to the cult movie Spaceballs now has a release date: April 23, 2027.

Spaceballs was released on June 24, 1987, making the Spaceballs 2 premiere nearly 40 years later.

Original writer-director Mel Brooks officially announced Spaceballs 2 last year, with Bill Pullman, Rick Moranis, and Daphne Zuniga reprising their roles. Now, Amazon MGM Studios has announced the actual release date ahead of CinemaCon 2026, exclusively for Deadline.

From there, we really only know the details that were released last year, like that Josh Greenbaum (Will and Harper) is directing, and the script is written by Josh Gad, Benji Samit, and Dan Hernandez. Gad is also expected to star, along with Keke Palmer.

#Spaceballs #sequel #release #date">The ‘Spaceballs’ sequel has a release date

The long-awaited sequel to the cult movie Spaceballs now has a release date: April 23, 2027.

Spaceballs was released on June 24, 1987, making the Spaceballs 2 premiere nearly 40 years later.

Original writer-director Mel Brooks officially announced Spaceballs 2 last year, with Bill Pullman, Rick Moranis, and Daphne Zuniga reprising their roles. Now, Amazon MGM Studios has announced the actual release date ahead of CinemaCon 2026, exclusively for Deadline.

From there, we really only know the details that were released last year, like that Josh Greenbaum (Will and Harper) is directing, and the script is written by Josh Gad, Benji Samit, and Dan Hernandez. Gad is also expected to star, along with Keke Palmer.

#Spaceballs #sequel #release #date

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.

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.

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.”

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.

Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.
#Suno #music #copyright #nightmareAI,Entertainment,Music,Report,Tech">Suno is a music copyright nightmareAI 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 -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.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.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.”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.Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.Terrence O’BrienCloseTerrence O’BrienPosts from this author will be added to your daily email digest and your homepage feed.FollowFollowSee All by Terrence O’BrienAICloseAIPosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All AIEntertainmentCloseEntertainmentPosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All EntertainmentMusicCloseMusicPosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All MusicReportCloseReportPosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All ReportTechCloseTechPosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All Tech#Suno #music #copyright #nightmareAI,Entertainment,Music,Report,Tech

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.

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.

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.”

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.

Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.

#Suno #music #copyright #nightmareAI,Entertainment,Music,Report,Tech">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.

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.

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.”

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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