Kai Cenat To Direct Drake and PARTYNEXTDOOR's "SOMEBODY LOVES ME" Music Video
Summary
Kai Cenatis officially working withDrakeon a new music video for the track 'SOMEBODY LOVES ME.' Cenat announced on a live stream that he will be directing the music video for the song, which is in collaboration withPARTYNEXTDOOR.
Taking to his recent live stream, Cenat said that the project will involve fans in the collaboration offering $15,000 USD to 20 people to be involved. He called out to his fanbase to ask them to submit short clips of ideas between 30 seconds to one minute for the upcoming music video. He explained on his stream while providing an email for fans to submit their work by May 24, 2025, 'Y'all also get to play a part. We are choosing somebody who loves me. Everybody who loves directing, everybody who loves to come up with treatments. 30 seconds to a minute of an idea of what y'all got.'
Drake confirmed the collaboration by sharing Kai Cenat's stream announcement with a caption, 'CALLING ALL VI$$$IONARIES.' According to Cenat, potential directors can pick any part of the song to focus on and through the submissions, the clips will be pieced together into a full-length video. The submissions can be sent to SSS4U@Drakerelated.com.
Kai Cenat will be directing the music video to Somebody Loves Me and Drake announced a challenge:
20 people will get $15K to direct a SOMEBODY LOVES ME video between 30 seconds and 1 minute long
Potential directors can pick whatever time stamp in the song they want to bring to…pic.twitter.com/SVBGlgWkmp
— Akademiks TV (@AkademiksTV)May 18, 2025
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Hypebeast
6 hours ago
- Hypebeast
LeBron James Drops Limited Edition Richard Mille Watch Inspired by the Lakers' Legacy
Summary LeBron Jameshas just unveiled his own limited-editionRichard Millewatch — a timepiece he personally helped design. The watch showcases Richard Mille's renowned craftsmanship, infused with bold details and athletic elegance. Paying homage to theLos Angeles Lakers, the strap arrives in a vibrant yellow — likely crafted from TKM rubber for durability and comfort. At the 12 o'clock mark, LeBron's signature logo is displayed in bold green with a yellow border. The case features a sleek black textured material, contrasted by a yellow Quartz TPT middle case with green accents and a distinctive purple hour marker ring. Additional design highlights include a yellow and green crown, teal chronograph dials, and James' signature etched in purple on the back of the case — blending luxury watchmaking with personal and sporty flair. Limited to just 150 pieces worldwide, the exclusive timepiece is reportedly priced at $450,000 USD. Take a closer look at LeBron James' exclusive watch below.
Hypebeast
6 hours ago
- Hypebeast
Ryan Coogler's 'Sinners' Receives Max Streaming Premiere Date
Summary Ryan Coogler'sSinnersofficially received aMaxstreaming date for at-home viewers. TheMichael B. Jordan-led feature hits the streamer on July 4, followed by anHBOpremiere on July 5 and physical copies on July 8. Sinners sees Jordan portray a set of identical twins, Stack and Smoke, who return to their hometown of Clarksdale, Missisipi after a tenure for the Chicago Outfit. They, along with their cousin and preacher's son Sammie, open a juke joint for the local Black community, but are haunted by the supernatural on opening night. Joining Jordan in the cast are Hailee Steinfeld, Miles Caton, Jack O'Connell, Wunmi Mosaku, Li Jun Li, Yao, Jayme Lawson, Omar Miller and Delroy Lindo. Sinnershas since grossed a total of $363.8 million USD in the global box office since its release and was met with critical and commercial acclaim. Sinnershits Max July 4, and premieres on HBO on July 5.
The Verge
2 days ago
- The Verge
The music industry is building the tech to hunt down AI songs
The music industry's nightmare came true in 2023, and it sounded a lot like Drake. 'Heart on My Sleeve,' a convincingly fake duet between Drake and The Weeknd, racked up millions of streams before anyone could explain who made it or where it came from. The track didn't just go viral — it broke the illusion that anyone was in control. In the scramble to respond, a new category of infrastructure is quietly taking shape that's built not to stop generative music outright, but to make it traceable. Detection systems are being embedded across the entire music pipeline: in the tools used to train models, the platforms where songs are uploaded, the databases that license rights, and the algorithms that shape discovery. The goal isn't just to catch synthetic content after the fact. It's to identify it early, tag it with metadata, and govern how it moves through the system. 'If you don't build this stuff into the infrastructure, you're just going to be chasing your tail,' says Matt Adell, cofounder of Musical AI. 'You can't keep reacting to every new track or model — that doesn't scale. You need infrastructure that works from training through distribution.' The goal isn't takedowns, but licensing and control Startups are now popping up to build detection into licensing workflows. Platforms like YouTube and Deezer have developed internal systems to flag synthetic audio as it's uploaded and shape how it surfaces in search and recommendations. Other music companies — including Audible Magic, Pex, Rightsify, and SoundCloud — are expanding detection, moderation, and attribution features across everything from training datasets to distribution. The result is a fragmented but fast-growing ecosystem of companies treating the detection of AI-generated content not as an enforcement tool, but as table-stakes infrastructure for tracking synthetic media. Rather than detecting AI music after it spreads, some companies are building tools to tag it from the moment it's made. Vermillio and Musical AI are developing systems to scan finished tracks for synthetic elements and automatically tag them in the metadata. Vermillio's TraceID framework goes deeper by breaking songs into stems — like vocal tone, melodic phrasing, and lyrical patterns — and flagging the specific AI-generated segments, allowing rights holders to detect mimicry at the stem level, even if a new track only borrows parts of an original. The company says its focus isn't takedowns, but proactive licensing and authenticated release. TraceID is positioned as a replacement for systems like YouTube's Content ID, which often miss subtle or partial imitations. Vermillio estimates that authenticated licensing powered by tools like TraceID could grow from $75 million in 2023 to $10 billion in 2025. In practice, that means a rights holder or platform can run a finished track through TraceID to see if it contains protected elements — and if it does, have the system flag it for licensing before release. 'We're trying to quantify creative influence, not just catch copies.' Some companies are going even further upstream to the training data itself. By analyzing what goes into a model, their aim is to estimate how much a generated track borrows from specific artists or songs. That kind of attribution could enable more precise licensing, with royalties based on creative influence instead of post-release disputes. The idea echoes old debates about musical influence — like the 'Blurred Lines' lawsuit — but applies them to algorithmic generation. The difference now is that licensing can happen before release, not through litigation after the fact. Musical AI is working on a detection system, too. The company describes its system as layered across ingestion, generation, and distribution. Rather than filtering outputs, it tracks provenance from end to end. 'Attribution shouldn't start when the song is done — it should start when the model starts learning,' says Sean Power, the company's cofounder. 'We're trying to quantify creative influence, not just catch copies.' Deezer has developed internal tools to flag fully AI-generated tracks at upload and reduce their visibility in both algorithmic and editorial recommendations, especially when the content appears spammy. Chief Innovation Officer Aurélien Hérault says that, as of April, those tools were detecting roughly 20 percent of new uploads each day as fully AI-generated — more than double what they saw in January. Tracks identified by the system remain accessible on the platform but are not promoted. Hérault says Deezer plans to begin labeling these tracks for users directly 'in a few weeks or a few months.' 'We're not against AI at all,' Hérault says. 'But a lot of this content is being used in bad faith — not for creation, but to exploit the platform. That's why we're paying so much attention.' Spawning AI's DNTP (Do Not Train Protocol) is pushing detection even earlier — at the dataset level. The opt-out protocol lets artists and rights holders label their work as off-limits for model training. While visual artists already have access to similar tools, the audio world is still playing catch-up. So far, there's little consensus on how to standardize consent, transparency, or licensing at scale. Regulation may eventually force the issue, but for now, the approach remains fragmented. Support from major AI training companies has also been inconsistent, and critics say the protocol won't gain traction unless it's governed independently and widely adopted. 'The opt-out protocol needs to be nonprofit, overseen by a few different actors, to be trusted,' Dryhurst says. 'Nobody should trust the future of consent to an opaque centralized company that could go out of business — or much worse.'
