As the spring and summer gear up it's essential to have the right songs to rage to. Here are the most outRAGEous songs out there, currently. You're Welcome.
I'm often amazed at how creative people can be. How do people dream up layering multiple songs together and have it sound this incredible? These songs have unreal drops and heavy bass. So play these songs at your next "gathering" and watch the people dance. WARNING: Most songs include explicit content.1) "Fresh Prince of Mara (TWINZ BEATZ Bootleg" -Carnage vs Fresh Princehttps://www.youtube.com/watch?v=XZvUQwNc0bQ
2)"Radioactive City" (Isosine Mashup) -Kendrick Lamar x Imagine Dragonshttps://www.youtube.com/watch?v=qCwpZyx0s_g
3) "The (2) Chain (z)" (The Melker Project)- Fleetwood Mac x 2 Chainzhttps://www.youtube.com/watch?v=devHFOp051M
4) "Still Believe" (Trademark) - Avicii x Tritonal x Martin Garrix x Feri & Multihttps://www.youtube.com/watch?v=TUMCJCCLnAo
5) "Drunk Animals" (Kag Slap Bootleg)- Beyonce x Jay-Z x Martin Gerrix x Lazy Rich https://www.youtube.com/watch?v=kvQFyw1dezg
6) "Awesome" (Radical Edit) - Avicii x Timeflies x Duke Dumont x A_M_E x Vengaboys & Syn Colehttps://www.youtube.com/watch?v=FxmHvQg8S94
7) "Hit The Street" (DJ Topsider MMXIV Edit)- RL Grime & What So Nothttps://www.youtube.com/watch?v=Ll_fxq4IMGM
8) "Revolution Night Spirit" (MAKJ vs. Hardwell Live Edit) - MAKJ & M35 x Nirvana x Krewella https://www.youtube.com/watch?v=_GQpOn51qDA
9) "Think I Need U" (Trademark) - Duke Dumont x Michael Calfan x Calvin Harris x Ashley Wallbridge https://www.youtube.com/watch?v=S_jwXVrxocU
10) "Pull Me In" (Trademark) - Krewella x Just Mike x Hook N Sling x Daddy's Groove https://www.youtube.com/watch?v=LjzGfqTBch4
11) "What's That Sound (Live Mashup)" - Trottlehttps://www.youtube.com/watch?v=C6JrpQgB3rY
12) "Say Hello vs. Because" (The Melker Project)- Jay-Z x The Beatleshttps://www.youtube.com/watch?v=dKhfjlXE-lU
13) "Back with Stacy's Mom" (Kap Slap) - Oliver x Fountains of Wayne x Taylor Swifthttps://www.youtube.com/watch?v=ayUr1aorW_8
14) "Just Girly Things" (Darwin) - Just wait till the drop and LOL https://www.youtube.com/watch?v=djRKoTDNk2o
15) "Country Girl (Wop That Thun Thun Mashup)" (Tesher)- Luke Bryan x Finatticz x J. Dashhttps://www.youtube.com/watch?v=OSRA_Ik0kik
16) "Animals Anthem (Watch out for this)" (Germany)- Various Artistshttps://www.youtube.com/watch?v=4FX1PBOZK_o
17) "Knock Out Eileen" (unknown but they are hilarious whoever thought of this) - LL Cool J vs Dexy's Midnight Runners) *not technically for a party but I thought it was relevant nonethelesshttps://www.youtube.com/watch?v=ejuMfZdkM2o
18) "#Turnt" (Unknown)- A$AP Rocky & Skrillex x French Montana x Major Lazer & Flux Pavillion x Dillon Francis https://www.youtube.com/watch?v=dD1nYxINIz8
19) "Holy Grail, Live for Spaceman!" (Enigma Mashup)- Jay-Z x Justin Timberlake x Hardwell x Krewella https://www.youtube.com/watch?v=LYoXpqoEUaA
20) "Twerk" (DJ Topsider) - Diplo & Nicky Da B x Nicki Minaj x Alesia & DJ Snakehttps://www.youtube.com/watch?v=u7HCTafyOLk
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This article has not been reviewed by Odyssey HQ and solely reflects the ideas and opinions of the creator.
StableDiffusion
The Illusion of Creativity
AI-generated music is often marketed as “artistic” or “educational.” But what does it really teach?
- That style can be replicated without understanding.
- That emotion can be simulated without feeling.
- That effort can be bypassed with a prompt.
For young creators, this sets a dangerous precedent. Why learn to play guitar when an algorithm can do it faster? Why study harmony when AI can generate chord progressions in seconds? The risk isn’t just laziness — it’s the loss of depth, discipline, and the tactile joy of creation.
I have listened to several AI-generated music covers. My initial reaction was one of considerable impressiveness, particularly regarding the reimagining of classic pop hits in diverse genres with novel arrangements. Here is one good example a-ha — Take On Me
However, after engaging with several such Ai generated song covers, a sense of emotional detachment emerged, attributable to the perceived absence of human artistry and genuine sentiment, resulting in a technically flawless yet ultimately soulless auditory experience.
Copyright in Crisis
What does the copyright law say about AI generated music, especially in field of music covers. Who is liable for copyright in this case, AI developers, people who used AI to generate music or people who published it on music platforms?
Recent lawsuits show that the music industry is pushing back hard:
- Universal, Sony, and Warner sued AI music platforms Suno and Udio in 2024 for allegedly training their models on copyrighted songs without permission Ars Technica The Lyon Firm.
- They’re seeking up to $150,000 per infringed song, arguing that the AI outputs resemble famous tracks and voices (e.g., Mariah Carey, Michael Jackson).
- These lawsuits target the developers of the AI tools — but they raise broader questions:The legal gray area is training data. Courts haven’t yet ruled definitively on whether using copyrighted songs to train AI counts as infringement or fair use Sites at USC.
But who’s liable?
Role | Legal Risk | Why |
AI Developers | ✅ High | For training on copyrighted material without licenses. |
Users | ⚠️ Moderate | If they intentionally recreate protected works. |
Publishers/Platforms | ✅ High | For distributing infringing content. |
The grey area lies in training data. Courts haven’t yet ruled definitively on whether using copyrighted songs to train AI counts as infringement or fair use. Meanwhile, AI-generated works themselves aren’t eligible for copyright unless a human provides substantial creative input — leaving them in legal limbo.
The Educational Mirage
Some argue that AI music helps people learn genres, production styles, or vocal techniques. But this “education” often lacks context. It’s like learning to paint by watching a printer — technically impressive, but creatively hollow.
True musical education involves:
- Struggle and iteration: Learning through mistakes.
- Emotional connection: Expressing what words can’t.
- Cultural lineage: Understanding the roots of sound.
AI shortcuts bypass all of this. And in doing so, they risk flattening the rich terrain of human creativity into a sterile landscape of algorithmic mimicry.
Why This Fight Matters
This isn’t just about music. It’s about the future of art, storytelling, and human expression. If we allow machines to dominate creative spaces, we risk turning culture into content — optimized, monetized, and devoid of soul.
We must ask: Do we want a world where art is made by machines, or one where machines help humans make better art?
5 Key Takeaways
- AI-generated music blurs the line between innovation and erosion in the creative arts
- AI-generated music raises questions about copyright, culture, education, and artistic expression
- AI-generated music can replicate style without understanding, simulate emotion without feeling, and bypass effort with a prompt
- AI-generated music sets a dangerous precedent for young creators by potentially leading to a loss of depth, discipline, and joy of creation
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