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Apple Music will reportedly label any AI-made tracks later this year

Engadget

Variety reports that Apple is working on a "Made With AI" tag to use in its Apple Music service. The publication says that this label will be required if "a material portion of the content" involved use of generative AI. There's no publicly known timeline for when the tags will begin appearing or if there's a more precise definition of what use cases will merit the label. We've reached out to Apple for confirmation of this upcoming feature and will update if we receive a response. Earlier this year, Apple added support for Transparency Tags, which allowed AI-generated tracks to be marked accordingly so listeners would know what they were hearing. However, the move seemed a bit half-hearted since that designation is only applied at labels' and distributors' discretion.


The best Spotify alternatives to ease your conscience

Engadget

It's no secret that Spotify is the dominant player in the music streaming market, with 293 million paid subscribers and 761 million monthly active users across both paid and free tiers. Along with massive market dominance has come a fair bit of controversy in recent years. As the biggest music-streaming platform, Spotify is usually the first mentioned in the discussion about whether artists are fairly compensated for their work. The math around that question is obvious -- buying a digital album outright typically costs between 10 and 15 depending on where you buy it, while a Spotify Premium subscription costs 13 a month in the US. Fair pay is far from the only drama surrounding Spotify, though.


'I feel like I'm at war': are we losing the battle against machine-made music?

The Guardian

'I feel like I'm at war': are we losing the battle against machine-made music? This year, the battle for song of the summer has been eclipsed by a much more complicated - some would even say disturbing - debate. That's because we find ourselves asking not "What's the song of the summer?" but rather "Is the song of the summer even?" Among the top contenders for the title is Fenix Flexin's Rubberz, a single released in June that has ascended to No 58 on the Billboard Hot 100 and racked up more than 35m Spotify streams. The artist is known for his trap music as part of the rap duo Shoreline Mafia, but Rubberz is a mildly noirish, 80s-inspired synth-pop track featuring a voice nothing like his.


Spotify to add label for AI-generated artists and remove them from recommendations

BBC News

Image caption, The changes are being introduced to give listeners more transparency about what they're hearing, Spotify says Spotify is introducing a new feature that will highlight if an artist has been generated by artificial intelligence (AI). The streaming service says the AI Persona badge, that will start appearing on some profiles from mid-September, will flag to listeners if an artist's identity may be AI-generated and does not represent a real person. The changes are being introduced to give listeners more transparency about what they're hearing, Spotify says. It comes after some music fans made it clear to the streamer they don't like seeing a profile that seems to be a human, to then realise it's AI-generated. AI-generated music has long been a concern for users of the platform.


Spotify will now tell you when an artist isn't real

Mashable

Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Look Up Say More Creator Hub Gift Ideas For Everyone On Your List Mashable Selects Versus Switch Off Trending Now Safety Net In My Bag VidCon with Mashable All Series Spotify will now tell you when an artist isn't real The new AI Persona badge will flag synthetic artist identities and keep their music out of recommendations by default. Olivia Tauber is the deputy editor of digital culture, covering creators, media, movies, beauty, and more. Based in New York, her work has appeared in The New York Times, Vanity Fair, The Cut, Teen Vogue, Complex, and Interview Magazine. She holds a Master's degree in Journalism from NYU and a Bachelor's from the University of Michigan. She also runs Fan Mail, a weekly pop-culture newsletter.


The 12 best headphones of 2026: We tested the top contenders from Sony, Apple, Bose, and Beats

Mashable

Look Up Say More Versus Creator Hub Switch Off Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Trending Now Safety Net In My Bag VidCon with Mashable Back to School Furtastic All Series From budget to premium options, here are our favorite headphones and earbuds. Bethany Allard is a Los Angeles-based shopping reporter at Mashable covering beauty tech, dating, sex and relationships, and headphones. That basically means she puts her hair through a lot, scrolls through a lot of dating apps, and rotates through a lot of different headphones. In addition to testing out and rounding up the best products, she also covers deals for Mashable, paying an especially obsessive amount of attention to Apple deals and prices. That knowledge comes in handy when she's covering shopping holidays like Prime Day and Black Friday, which she's now done for three years at Mashable. Samantha Mangino, is an e-reader expert. She's tested all the Kindle and Kobo e-readers, diving into the buzziest models. Her love of reading extends beyond the e-reader beat, covering books and authors, too. In the tech space, she covers tablets, smart rings, and headphones. All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission. In 2026, a pair of headphones or earbuds is pretty much non-optional.


François Pachet on music generation with AI

AIHub

Dr François Pachet is an AI researcher and musician, and one of the most influential figures in AI and music. His innovative contributions have defined the field over the past decades through creative systems such as the Continuator, and Flow Machines, among others. After leading the Spotify Creator Technology Research Lab and the Sony Computer Science Lab, he went on to create his own companies: Imagine All The People and Ynosound. In the context of IJCAI2025, he spoke about what deep learning changed, and what still remains wide open. He explains why tools like Suno and Udio--ChatGPT-like platforms for music generation--can produce astonishing results that still feel unsatisfying; why the next step for music generation requires combining sampling with search; and why the most important problems in artistic domains are, by nature, ill-defined--because there is no loss function to determine what is "good". Above all, he defends the importance of researcher autonomy: work on the questions that genuinely fascinate you, even when they fall outside prevailing trends--perhaps especially then. Thank you for joining me for this interview. Could you begin by telling us when was your first IJCAI and a memory related to it? I think the first IJCAI I attended was in Montreal in '95. I was there for a couple of workshops, one of them was about music and AI, and the other one I think was on advisor systems, something like that. And I remember there was a French colleague who was there also, at the time he was doing his PhD. And there was this researcher called Herbert Simon, who is a Nobel Prize pioneer of AI. I remember having chatted a little bit with this French guy who was very bold, and he just went up to Simon, said "Hey," and he started a conversation with him. And I was very impressed by the fact that you could meet those kinds of guys informally in a corridor or something at this conference.


This free AI music detector will scan through your playlists for audio slop

Popular Science

Make sure you're only listening to music crafted by flesh and blood humans. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. There are ways to check the origins of what you're listening to. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .


Mary Steenburgen Does Not Feel Bad if You Lost Your Tennis Court to Pickleball

TIME - Tech

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Is the most popular song played on Australian radio stations the product of generative AI?

The Guardian

Josh Fawaz' YouTube channel, HIs cover of Like A Prayer has topped the Australian commercial radio charts and the global iTunes electronic music charts. Josh Fawaz' YouTube channel, HIs cover of Like A Prayer has topped the Australian commercial radio charts and the global iTunes electronic music charts. Is the most popular song played on Australian radio stations the product of generative AI? Josh Fawaz's song, a cover of Like a Prayer, has raised questions over how generative AI is being used in music and whether it should be declared An Australian producer has gone from a little-known artist to a viral sensation in a matter of months, with his hit song catapulting onto global charts and receiving thousands of radio spins. There's just one problem: music experts and other musicians are questioning whether he produced it. They claim Josh Fawaz's most popular song, a cover of Madonna's Like a Prayer which reached the #1 spot on the National Radio Airplay chart, could have been made using AI.