AI music is booming! 🎶 But, is it pushing real artists out of the spotlight? Let’s find out!
At The Lions Ground Entertainment Group (TLEG), we’ve noticed a new trend: AI-generated music. It’s fast, easy, and everywhere. Just type in some text, and bam, you have a song. But here’s the catch… these synthetic tracks are taking over music platforms like Spotify and iTunes, leaving real artists struggling to keep up.
We see it every month. Around 10% of the music we get is AI-generated. Fake producers try to pass off these tracks as their own hard work. It’s not just unfair, it’s misleading.
Are you curious if you can tell the difference between AI music and real music? Stay tuned, and we’ll break it all down for you.
Table of Contents
Oh …. don’t ask SUNO on what data they’ve trained their AI 👇
🤣
What is AI Music?
AI music, also known as synthetic music, is created by computer algorithms. Imagine a robot DJ mixing tunes. 🎧 It’s like magic!
You enter a few text prompts. Bam! You have a song. It’s quick and easy.
AI music uses patterns from existing songs. It then creates new tracks. Just like how we remix our favorite hits.
Think about it like this: You type, “Make a banger like Drake.” And boom, the AI whips up a track that’s fire and has that Drake vibe. Lit AF, right?
But how does it do that? The AI has studied tons of music. It learns what makes a song catchy. It’s like having a playlist that can create more songs.
Ever heard of a playlist that makes new music? That’s AI for you. It’s snatched! 😎
- Text Prompts: You tell the AI what you want.
- Music Patterns: AI uses patterns from other songs.
- New Track: It creates a brand new song.
AI music can be slamming. It uses beats and rhythms we love. Just like a chef using recipes to create a new dish.
And guess what? These AI tunes can be bussin’. They sound real, almost like a human made them.
So, next time you vibe to a new song, ask yourself: is this human or AI? 🧐 Period.
Quick Facts:
- Easy Creation: Just a few prompts and you get a song.
- Fast Production: Songs in minutes, not days.
- Real Vibes: AI music can sound just like human-made music.
Sounds cool, right? But it’s not all Gucci. There’s more to the story!
Why AI Music is a Problem
High Volume Production
AI can pump out tracks daily. We’re talking 5-10 songs a day. That’s a lot of music!
Platforms like Beatport, iTunes, and Spotify are flooded with AI tracks. It’s like a tsunami of tunes! 🌊
Real artists can’t keep up. They need time to create quality music. They can’t just push a button and !!BAM!! a song appears.
- Daily Output: AI can create multiple tracks a day.
- Flooded Platforms: Music sites are overflowing with AI songs.
- Unfair Competition: Real artists need more time to produce their music.
Misleading Claims
Some fake producers use AI music. They try to pass it off as their own work. That’s shady. 😒
They send us their tracks. They claim they worked hard on them. But it’s just a computer doing the job. Talk about lazy!
These “producers” are flexing fake muscles. They aren’t putting in the real work.
- False Effort: They say they made the music, but it’s all AI.
- Deceptive Practices: Claiming AI music as personal work.
- Integrity Issue: It’s not fair to real, hardworking artists.
The Real Impact
- Quality Over Quantity: Real music takes time to make. AI just needs a few seconds.
- Flooding the Market: With so many AI tracks, real artists get pushed aside.
- Trust Issues: Fans don’t know if they’re listening to a human-made song or an AI track.
So, next time you hear a new track, think twice. Is it a real banger or just an AI trick? 🤔
Stay woke, folks! Don’t let the robots take over your playlist. 🎧
TLEG’s Observations
Rise in Submissions
Every month, about 10% of the music we get is AI-generated. That’s a lot!
We’re seeing more and more AI tracks flooding in. It’s like a tidal wave of tunes. 🌊
AI music is snatched, but it’s creating a mess. Real artists are getting pushed out. It’s like trying to fit a banger playlist into a tiny MP3 player. No space left for the real stuff!
Curator Challenges
Curators on platforms like Groover struggle. They can’t always tell the difference between AI and real music. It’s tough out there.
This means:
- True artists get pushed down.
- AI tracks get more playtime.
Imagine trying to spot the real from the fake. It’s like finding a needle in a haystack. And that needle is lit! 🔥
Curators are vibing with what they get. They don’t always know if it’s a human or a robot DJ. This confusion leads to:
- More AI songs getting picked.
- Real talent getting overlooked.
It’s a real mood killer for genuine artists. They’re flexing their creative muscles, but AI is just hitting the play button.
Curators need help. They need tools to spot the AI. Because, let’s face it, AI is lit, but it’s not the GOAT. Period.
So, real artists get less exposure. They’re left in the shadow of synthetic beats. Savage, right?
The music scene is changing. And not always for the better. It’s a salty situation for those who put in the real work. They deserve the spotlight, not the sidelines.
Platform Policies and Issues
Lack of Regulation
Platforms like DistroKid make it easy to distribute AI music. There are no strict rules. This makes it tough for real artists. It’s like the Wild West out there. 🌵
We asked Beatport for a comment. No response. 🙄
A Groover staffer said, “There are no rules regarding this.”
Seriously? No rules? That’s crazy!
Real artists need protection. Without rules, AI music floods in. It’s not fair.
Platforms should step up. They need to set some boundaries.
- Unregulated Distribution: No strict guidelines for AI music.
- Unfair Competition: Real artists can’t compete with AI’s volume.
- Call for Action: Music platforms need better rules.
Exposing DistroKid’s Contradictions in Terms of Service
Respect for Copyright? Not Quite
DistroKid’s Terms of Service [1] proudly claim to respect intellectual property rights. Users must warrant that their content doesn’t infringe on third-party rights, including copyrights. But here’s the thing, AI-generated music is trained on copyrighted material. This means AI music can be a mashup of unauthorized snippets or tunes from real songs. 🤔
Distribution of AI Music
DistroKid makes it super easy to distribute music, including AI-generated tracks. They require users to guarantee their music respects copyright laws.
But let’s be real…
If AI tracks are made using copyrighted content without permission, how’s that respecting the law? It’s a total contradiction.
Example: “The Real Erdrickk” pumps out tracks like a factory. His AI-generated music floods platforms. Each track might contain elements trained on copyrighted songs, potentially infringing on those original works. DistroKid distributes his music, facilitating possible copyright violations. 🙄
DMCA Compliance – A Thin Shield
DistroKid follows the Digital Millennium Copyright Act (DMCA) process for dealing with copyright claims. They even promise to terminate repeat infringers’ accounts. But here’s the catch – they don’t actively check if AI-generated tracks infringe on copyrights. They rely on complaints to take action. So, unless someone spots and reports it, infringing AI tracks keep streaming.
The Legal Mess
AI music producers use copyrighted material for training without proper licenses. DistroKid’s distribution of such music could make them complicit in copyright infringement. Their claim to respect copyright laws seems hollow when they enable the spread of potentially infringing AI music.
What They Say: Users must warrant their content is original or licensed.
What’s Happening: AI music uses unlicensed copyrighted content for training.
What They Say: They respect copyright laws.
What’s Happening: They distribute AI music.
What They Say: They follow DMCA and terminate infringers.
What’s Happening: They don’t check AI music origins, relying on complaints.
The Ethical Dilemma
DistroKid’s stance on copyright protection is clear … in theory.
In practice, they distribute AI-generated tracks that infringe copyrights. This contradiction highlights a significant ethical and legal dilemma in the music industry. Original artists deserve protection, and platforms like DistroKid need to step up their game.
We’ve asked DistroKid to respond to this article.
Need for Transparency
Fans deserve to know. Is their favorite song made by a human or AI? Transparency is key.
Imagine vibing to a track and not knowing if it’s real. 🤔
Consumers have the right to know the truth. It’s basic respect.
- Transparency: Clear labeling of AI music.
- Consumer Rights: Fans need to know what they’re listening to.
- Honesty: Platforms should be upfront about AI tracks.
We want to jam to tunes, not be fooled by robots.
Industry Reactions
Legal Actions
Big music labels are fighting back. Sony, Universal, and Warner sued AI companies. They claim AI uses their recordings to learn. Is it stealing? 🚨
Imagine making a song and finding out a robot copied it. That’s what these labels are saying.
They’re not happy about it. They argue that AI takes their hard work without permission.
- Sony: One of the biggest names in music.
- Universal: Another giant in the industry.
- Warner: Yep, they’re in the fight too.
They’ve all filed lawsuits. They want AI companies to stop using their tracks.
But is this true? YES!!
We decided to investigate SUNO and found evidence, not circumstantial evidence but smoking proof evidence.
Watch it below … 🤯
Music Producer Reactions
Spoke
Spoke, the legendary producer who re-emerged in 2020 with exceptional tracks under the Sirup label, shared his thoughts on AI-generated music with TLEG: “It’s a kick in the teeth to think an AI could churn out what I do in a fraction of the time. It’s like being told your guitar’s getting replaced by a jukebox. But I’ve started to mess around with it myself, using it to test voices and lyrics. It’s a nifty tool, but let’s be real – AI is a copycat at best. The true magic of music lives in creative innovation and that gut feeling, the intuition AI will always lack. Streaming platforms should embrace transparency, making it clear what’s human and what’s machine-made. It’s not about banning AI, but about celebrating the raw, unpredictable creativity that only a human can bring. That’s where the future of music truly lies.” – follow Spoke on Instagram.
Maas
French DJs and producers, known from the hit ‘Paradise‘, told TLEG: “We are not for this kind of musical process. For us music is organic and alive with real and non-artificial emotions. We think banning it would be a great idea. As for the platforms, we believe that they have the necessary tools to detect music created by AI because it can present many defects. and then the artists using this process should be simply banned from the platforms just like those who increase their number of subscriber streams with fake followers.” – follow Maas on Instagram.
Copyright Issues
AI learns from existing songs. Labels say it’s unauthorized use. It’s a big legal mess.
Think of it like this: AI listens to a song, figures out the patterns, and makes a new one. Sounds cool, right? But it’s causing a storm. 🌪️
The labels claim it’s a breach of copyright. They argue it’s like taking a photo of someone’s artwork and selling it as your own.
- Unauthorized Use: AI uses songs without permission.
- Legal Mess: Big dispute over rights and ownership.
- Music Integrity: Protecting the work of real artists.
The debate is intense. Some see AI as innovative. Others see it as theft.
So, is AI music a vibe or a villain? The courts will decide.
Consumer Rights and Legal Framework
Transparency Laws
In Europe, laws demand honesty. Not telling people a song is AI-generated? That’s misleading.
It’s like trying to sell a fake Gucci bag as the real deal.
Not cool!
Consumer Rights Directive
Consumers must get clear info about products. Not saying a song is AI? That might break the law.
Imagine buying a “real” diamond, only to find out it’s fake. Feels bad, right?
The same goes for music. Fans deserve the truth. They need to know if their favorite banger is human-made or an AI trick.
- Clear Info: Labels should state if a song is AI.
- Legal Compliance: Not disclosing AI use can break consumer laws.
- Trust: Building trust with honest labeling.
Unfair Practices
Hiding the fact that music is AI-generated? It’s an unfair practice. Consumers have the right to know. Period.
It’s like serving tofu and calling it steak. It’s just wrong. 😒
- Deceptive Practices: Hiding AI origins is misleading.
- Consumer Rights: Fans should know what they’re getting.
- Fair Play: Honesty in music labeling is a must.
The music industry needs to step up. Transparency is key. Fans, stay woke! Demand the truth about your tunes. 🎶
TLEG’s Stance and Actions
Rejecting AI Music
We at TLEG don’t accept synthetic music. But still, 10% of submissions try to sneak in. 🙅♂️
We stand firm. We want real music, created by real artists. AI tunes might be lit, but they lack soul. We’re about the vibe, not the volume.
Imagine getting a dozen tracks and finding out they’re all robot-made. It’s like a sick joke. And not the good kind.
Our goal? Push the envelope with genuine talent. Period.
Request for Platform Response
We asked Beatport to comment. No luck. Groover’s response? “There are no rules.”
Seriously? No rules? That’s flabbergasting! 😳
- Beatport: Silence. They didn’t even reply.
- Groover: Admitted they have no rules on this.
It’s a savage world for real musicians. They deserve better.
We need platforms to step up. Set rules. Enforce them. Make the music scene fair again.
- Transparency: Clear guidelines on AI music.
- Fair Play: Support real artists over synthetic beats.
- Response: Platforms need to listen and act.
Without these changes, the music industry is at risk. We can’t let AI tracks steal the spotlight.
The Future of AI and Real Music
Impact on Real Artists
Real music takes time and heart. AI can spit out songs in minutes. It’s a tough competition. Imagine spending days perfecting a track, and then boom, an AI pumps out five in an hour. That’s savage. 😳
Can you tell the difference between AI and human music? Watch the video below and test your skills! 🎧
AI music floods the market. Real artists get less exposure. It’s like trying to find a diamond in a sea of cubic zirconia. Real gems need time to shine.
- Time and Effort: Real songs take time.
- Instant AI Tracks: AI creates songs in minutes.
- Market Flood: Too many AI songs overshadow real artists.
This makes it hard for true talent to get noticed. Real artists pour their soul into their work. AI? Just some code and patterns.
AI tracks might be lit, but they lack the human touch. Music made by real people has oomph. It connects with listeners on a deeper level. We feel it.
Support your favorite artists
Support your favorite artists. Demand transparency from music platforms. Know if the music you love is AI or human-made.
Fans, it’s time to take a stand. Don’t let AI tunes take over your playlists. Insist on knowing the origin of your bangers.
- Support Real Artists: Buy their music, go to their shows.
- Demand Transparency: Ask platforms to label AI tracks.
- Stay Informed: Know what you’re listening to.
We need to push the envelope. Make the music industry fair. Keep the real vibes alive. 🎤
- Support Real Talent: Show love to human-made music.
- Transparency: Clear labels for AI tracks.
- Stay Woke: Keep yourself informed.
Music is about connection. Let’s not lose that to robots. Flex your support for real artists. They need it now more than ever.
Stay lit and keep the music real! 🎶
FAQ About AI-Music
How Can You Tell If a Song is AI-Generated?
TLEG’s music expert, Heathcliff, explains: “It’s pretty simple to spot AI music by the metallic sound in the vocals. The vocals always have that weird metallic noise. Go to SUNO and listen to 10 songs, and you’ll never forget how an AI song sounds. They are always at a 128kb/s rate and never higher. Check the Spotify or SoundCloud of the artist… a high rate of new music reveals it too. A real producer has a unique fingerprint, AI music does not. That’s why their music is not consistent.”
Will AI-generated music replace human artists?
There are concerns that AI algorithms capable of generating entire songs could reduce the demand for human musicians and composers. AI could potentially automate certain aspects of music creation, potentially displacing some roles in the industry.
Does AI-generated music lack emotional depth and creativity?
Critics argue that AI-generated music, while technically proficient, may lack the emotional resonance and genuine human creativity that emanates from human artists. There are worries that AI could lead to a homogenization of music, diminishing originality and uniqueness.
How will AI affect the livelihoods of musicians and session singers?
If AI can produce vocals and compositions on par with humans, it could impact the job security and livelihoods of musicians, session singers, and voice actors. The music industry is already competitive, and AI could exacerbate this issue by reducing demand for human performers.
What are the ethical implications of AI music?
The use of AI to generate music raises questions about copyright, ownership, and fair compensation. Determining the intellectual property rights and rightful ownership of AI-generated compositions can be challenging, leading to potential legal and ethical issues.
How can AI be used to create fake or manipulated music?
AI can be used to manipulate voices and create fake songs, potentially leading to the unauthorized use of artists’ voices and the spread of misinformation. Deep-faked songs posted on social media platforms have allowed people to profit off of artists’ work without their consent.
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