AboutPosts

Footsteps in the Dark

You,5 min read

Lately I keep noticing how much new music is built on old music. A beat here, a hook there, a melody lifted from a record made decades before I was listening. Sampling isn’t new, and it isn’t wrong – building on what came before is one of the most natural things a creator can do. But the more I listen, the more one thing bothers me: the song that borrows often ends up far more famous than the song it borrowed from.

When the copy outshines the original

I’d probably noticed it before, here and there, but David Guetta is where I fell down the rabbit hole. He would take a classic from the 80s or 90s and rebuild it into an electronic track, and it worked – people loved it, partly because it already sounded familiar. His “I’m Good (Blue)” reworks Eiffel 65’s “Blue (Da Ba Dee)”; “Baby Don’t Hurt Me” does the same with Haddaway’s “What Is Love.” Those originals aren’t obscure – they were massive in their own time – so this isn’t a case of the source vanishing. And yet the remake can catch fire all over again: “I’m Good (Blue)” pulled in more than two billion Spotify streams1 and peaked at No. 4 on the Billboard Hot 1002, decades after the melody first charted. That got me thinking about the strange relationship between originality and popularity. Sometimes the remake doesn’t erase the original; it just stands in front of it.

And sometimes it does erase it. The clearest example I found came from a song I’d loved for years: Ice Cube’s “It Was a Good Day.” It turns out the whole mood of that track sits on top of “Footsteps in the Dark,” by The Isley Brothers, released in 1977. The song that sampled it became many times more famous than the source – and I hadn’t even known the Isley Brothers’ record existed. The same thing happened when I learned that Mac DeMarco’s “Chamber of Reflection” is built on “The Word II” by Shigeo Sekito, from 1975. A quiet, beautiful original, hiding underneath a song that far more people know. You can be first, and still be invisible. This happens constantly, and most of the time nobody notices.

Now picture it from the other side. You can be genuinely original. You can be a great musician, a real professional. You can make something good – and still watch it become a layer in someone else’s hit, unrecognized. That’s the part that feels unfair. Not that people build on your work; that’s how music breathes. What stings is being good, and never getting to share your potential – being the foundation nobody looks at.

And it feels more unfair still when the sample is used with no acknowledgment and no royalties flowing back to the person who made the original. Sometimes samples are cleared and credited properly. Often they aren’t. The borrowed sound carries a new song to the top of the charts while the source stays in the dark – uncredited, unpaid, unknown.

Trace origins, not blame

Here’s the hopeful part, though: the tools to fix the “we can’t trace it” problem are finally arriving. Spotify recently built a feature called SongDNA3, based on the technology behind WhoSampled – the sample-tracing database it acquired4 to do exactly this. It maps the samples, interpolations, producers, and covers behind a track and lets you follow the thread back to the origin. It isn’t perfect. Software can find the obvious matches, but the obscure, chopped, pitched-up samples still need a human being who cares enough to log them. Even so, it’s the first time the lineage of a song is being written down at scale. Someone is finally keeping the ledger.

This isn’t only a music problem. It shows up everywhere things compound. Think about code. For years we built software on top of answers copied from Stack Overflow – someone else’s solution, pasted into our own work. Now we build on AI that was trained on all of that code at once, and the origin is even harder to see. We are always standing on layers we didn’t make. And for the sake of honesty, I think we owe it to those layers to do better than pretending they aren’t there.

That’s really what I want. Not to stop sampling – sampling is beautiful. Not, mainly, about the money. What I want is traceability: the ability to follow any song, any line of code, any idea back to the people it came from, and say, this started here. And to be fair, tracing origins isn’t about accusation. Two different people can arrive at the same idea without ever hearing each other – genuine coincidence, or just the same influences in the air – and that’s completely legitimate too. Not every echo is borrowing. The point was never to police every resemblance; it’s to make sure that when something really is built on someone else’s work, that person stays part of the story.

So let’s keep tracing the origins. Not for the money – for the acknowledgment. The Isley Brothers should be part of the story every time “It Was a Good Day” plays. Shigeo Sekito should be there inside “Chamber of Reflection.” The people who came first shouldn’t have to stay in the dark just because someone else arrived second, and arrived louder.

Footnotes

  1. https://weraveyou.com/2025/03/david-guetta-bebe-rexha-im-good-blue-2-billion-spotify-streams/ 

  2. https://en.wikipedia.org/wiki/I%27m_Good_(Blue) 

  3. https://newsroom.spotify.com/2026-03-24/songdna-announcement-beta/ 

  4. https://dataconomy.com/2025/11/20/spotify-buys-whosampled-to-build-its-new-songdna-discovery-feature/