
u/R3ZondoOfficial

The Same Six Names: Follow Enough Money and You Stop Finding New People
I traced overlapping investments and financial relationships across media, technology, surveillance, political spending, government contracting and sovereign capital.
What emerged wasn’t evidence of coordination, and I don’t claim that. It was a pattern of concentrated capital and access repeatedly crossing institutions that play a role in democratic life.
I’m the author, and I’d be interested in how others here view that concentration through the lens of democracy.
Do your songs grow from the same ideas as your other writing?
I’ve noticed that my articles and songs have started feeding each other.
I’ll be halfway through writing an investigation or essay when a line jumps out at me and sounds more like a chorus than a paragraph. I save it, keep writing the article, then come back later and build a song around that one hook.
It’s become a pretty natural creative process now instead of two separate ones.
Does anyone else find ideas crossing between different types of writing, or do you keep them completely separate?
Do your songs grow from the same ideas as your other writing?
I’ve noticed that my articles and songs have started feeding each other.
I’ll be halfway through writing an investigation or essay when a line jumps out at me and sounds more like a chorus than a paragraph. I save it, keep writing the article, then come back later and build a song around that one hook.
It’s become a pretty natural creative process now instead of two separate ones.
Does anyone else find ideas crossing between different types of writing, or do you keep them completely separate?
Is a sentence supposed to be a human’s actual thought, written by a human’s hand?
Everyone acts like this started with ChatGPT.
1956, Dartmouth College, a two month summer workshop almost nobody outside academia remembers. That’s where the actual term “artificial intelligence” was coined.
Turing beat them to the real question by six years. Can a machine think, or just imitate thinking well enough that nobody can tell the difference. Nobody answered it then. Nobody’s fully answered it now either.
Decades of stalling after that, and funding dried up twice. Expert systems in the eighties promised the moon, delivered spreadsheets. Deep Blue beat Kasparov in ninety seven, everyone panicked for a year, then moved on. Watson won Jeopardy in 2011 and felt like a party trick, then 2017 happened. Transformers, a neural network architecture Google researchers introduced in a paper called “Attention Is All You Need,” the actual foundation behind everything we’re fighting about right now, and almost nobody outside a handful of labs noticed. Seventy years of on and off panic before this became a dinner table argument.
Pitch correction didn’t start with Auto-Tune either. Engineers were nudging vocals with vari-speed tape back in the forties and fifties, slow, clumsy, mostly guesswork. Moog built voltage controlled oscillators in ‘64 that let you shape pitch in real time for the first time ever. Eventide’s Harmonizer showed up in ’75, and producers spent the next two decades manually rewinding tape through it, fixing one phrase at a time.
Then 1997, Andy Hildebrand, an oil engineer who used to hunt petroleum with sound waves, built something instant. Wasn’t trying to change music at all. Cher’s producers pushed the setting to zero on “Believe” and by accident made a sound nobody had heard before. Robotic. Inhuman. Unmistakably manufactured. People hated it, called it cheating, said it would kill real singing.
Didn’t kill it, became its own instrument. Nobody blinks hearing it now, and half the biggest vocalists of the last twenty years built entire careers leaning into that artificial sound on purpose.
So here’s what I ask myself. Grammar checkers, spellcheck, editing tools, none of that’s new either. What changed with AI isn’t the concept, it’s the speed of it, and how invisible it’s become.
Is writing headed where pitch correction went. Not replaced, just split permanently into two lanes, unassisted and obviously processed, both accepted, just different tools. Or is language different. A wrong note’s just a wrong note.
Is a sentence supposed to be a humans actual thought written by a humans hand?
How do you decide when separate investigations actually belong in one story?
I ran into something interesting while researching a recent investigation.
It started with one documented event, but every time I followed the public record it kept leading into another seemingly unrelated topic. Eventually those threads all pointed back to the same institution.
At what point do you decide those connections deserve to become one article instead of several separate pieces?
I worry about overwhelming readers with too much context, but I also don’t want to remove information that’s necessary to understand why events might be connected.
For those of you writing investigative or long form nonfiction on Substack, how do you make that decision?
New track - Read Receipts
I recently finished a short concept trilogy, and this is the opening track.
Read Receipts isn’t really about texting. It’s about the anxiety we project onto silence and how easy it is to let a screen define our emotions.
I’d really appreciate feedback on the songwriting and whether the concept connects.
I kept coming back to one question while writing this.
Can a song document a moment the same way a photograph or journal entry can?
This track became less about making a political statement and more about capturing the emotional weight of watching a country you love feel unfamiliar. I leaned into a late ’60s blues rock approach because that raw, imperfect delivery felt honest for the subject.
Curious how others decide when a song should tell a story versus simply preserve a feeling.
Drive south on Research Park Boulevard in Huntsville and you pass Boeing, Northrop Grumman, Lockheed Martin. At 6705 Odyssey Drive, Suite C, there is a company called Pro V&V. It certifies your vote.
I’m an independent civic writer in Arizona. I’ve been building a documented series on electoral infrastructure ahead of the November midterms, primary sources throughout, EFTA document numbers, court dockets, Senate Finance Committee letters.
The fourth piece dropped today and Drey’s work is woven through it. Her July 4 diagnostic framework for identifying when a government is building an illegal biometric database mapped directly onto what I’d been documenting about the National Design Studio and the passport portal.
Daylight.watch caught vote.gov getting commercial trackers added back at 4:12 AM on July 6, that’s in the piece. The NDS/DOGE lineage through Executive Order 14338, the Trump Accounts PCLIA checking “no AI” while routing children’s biometric facial data through an AI identity verification vendor, the GoldenEagle Robinhood CDN serving the signup form instead of federal infrastructure, all of it sourced and documented.
I’ve been writing for over forty years. Most stayed private. This doesn’t.
The piece is long. Take a breath first.
https://open.substack.com/pub/rickelizondo/p/the-machine-is-already-running